Aviation maintenance SaaS

AeroTrack

Compliance, Ready When You Are

AeroTrack streamlines aircraft maintenance for independent mechanics and small fleet managers by centralizing logbooks, compliance tracking, and task histories in one intuitive dashboard. Teams eliminate paperwork headaches, slash downtime, and stay audit-ready with automated recordkeeping, transforming scattered data into instant clarity so every aircraft is ready to fly, every time.

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AeroTrack

Product Details

Explore this AI-generated product idea in detail. Each aspect has been thoughtfully created to inspire your next venture.

Vision & Mission

Vision
To empower small aviation teams worldwide to achieve effortless compliance and flawless operations through trusted, intuitive digital workspaces.
Long Term Goal
By 2028, empower 5,000+ small aviation teams worldwide to reduce maintenance-related downtime by 50% and achieve 99% on-time compliance with effortless, automated workflows.
Impact
Cuts administrative time by 60% and reduces compliance deadline misses by 80% for independent aviation mechanics and fleet managers, halving maintenance-related downtime to increase aircraft availability and revenue reliability for small teams previously burdened by manual logbooks and paperwork.

Problem & Solution

Problem Statement
Independent aviation mechanics and fleet managers waste critical hours on paper logbooks and spreadsheets, missing compliance deadlines and risking costly downtime because existing maintenance systems are too complex, expensive, or designed for large commercial airlines.
Solution Overview
AeroTrack replaces paper chaos with a unified dashboard that automates logbook extraction and links every maintenance task to its complete compliance record, giving small aviation teams instant clarity on deadlines and audit readiness—no complex systems or training required.

Details & Audience

Description
AeroTrack unifies maintenance, logbooks, and regulatory tracking in one intuitive dashboard for small aviation mechanics, fleet managers, and operations leads. Teams eliminate paperwork chaos, cut downtime, and stay audit-ready with automated logbook extraction linking each task to full compliance history. Unlike clunky enterprise systems, AeroTrack delivers effortless, real-time oversight tailored for small operators who need simplicity and reliability above all.
Target Audience
Independent aviation mechanics and fleet managers (30-55) seeking effortless compliance, minimizing paperwork, and valuing reliability.
Inspiration
Standing in a cramped hangar, I watched a mechanic frantically search stacks of old logbooks while a grounded plane idled outside—a single missing signature halting days of work. Seeing the stress and lost revenue from paperwork chaos, I envisioned a solution: a clear, unified dashboard designed so small teams could find everything instantly and never lose precious flight time to missing records again.

User Personas

Detailed profiles of the target users who would benefit most from this product.

D

Data-Driven Devon

- 34 years old - Bachelor’s in Aeronautical Engineering - Operations analyst at charter company - Manages $500K maintenance budget - Based in Denver, CO

Background

Trained as an aerospace engineer, he shifted into analytics five years ago. He’s built predictive maintenance models that cut unscheduled downtime by 15%.

Needs & Pain Points

Needs

1. Instant access to historical maintenance metrics 2. Customizable reports for stakeholder presentations 3. Automated downtime forecasting alerts

Pain Points

1. Fragmented spreadsheets causing analysis errors 2. Missed compliance deadlines from manual tracking 3. Unpredictable downtime inflating operational costs

Psychographics

- Thirsts for precise performance metrics - Prioritizes efficiency above all else - Trusts data-driven decision making - Seeks clarity through visual dashboards

Channels

1. AeroTrack Dashboard – real-time metrics 2. LinkedIn – industry research 3. FlightOps Forum – peer discussions 4. Email – detailed report delivery 5. YouTube – tutorial walkthroughs

T

Tech-Savvy Taylor

- 29 years old - FAA-certified Avionics Technician - Works at regional hangar - $55K annual salary - Based in Seattle, WA

Background

Passionate about electronics since high school, she built custom drones before joining a regional MRO. She’s known for zero-error installations.

Needs & Pain Points

Needs

1. Real-time parts availability updates 2. Integrated digital log synchronization 3. Offline mobile logging mode

Pain Points

1. Parts order delays halting repairs 2. Disconnected log systems causing rework 3. Unreliable field updates in low-signal areas

Psychographics

- Craves up-to-date technical manuals - Values precise component tracking - Enjoys hands-on troubleshooting - Embraces digital tools instantly

Channels

1. AeroTrack Mobile – on-field logging 2. Slack – team communications 3. Electronics Forum – deep dives 4. YouTube – how-to videos 5. Email – order confirmations

M

Mobile Morgan

- 38 years old - FAA A&P certified - Self-employed field mechanic - $70K annual revenue - Operates across rural Alaska

Background

Cut his teeth repairing bush planes at 20. He’s honed the art of on-site improvisation, thriving under harsh conditions where every tool counts.

Needs & Pain Points

Needs

1. Offline log editing and saving 2. Auto-sync upon reconnection 3. Quick, pre-flight compliance checklists

Pain Points

1. App crashes in zero-signal zones 2. Cluttered offline data files 3. Manual sync steps wasting time

Psychographics

- Values rugged reliability everywhere - Seeks straightforward on-site processes - Fears data loss in dead zones

Channels

1. AeroTrack Mobile – primary tool 2. WhatsApp – quick team updates 3. Offline PDFs – reference manuals 4. SMS – urgent alerts 5. Portable SATCOM – emergency data

C

Collaborative Casey

- 42 years old - Maintenance Coordinator - Oversees 15 technicians - $80K annual salary - Midwest aviation hub

Background

Scaled maintenance operations from one to three hangars over five years. She introduced digital workflows that boosted on-time completions by 20%.

Needs & Pain Points

Needs

1. Centralized cross-team task assignment 2. Real-time job status tracking 3. Intelligent workload balancing

Pain Points

1. Fragmented team workflows 2. Unclear task ownership 3. Repetitive status inquiries

Psychographics

- Thrives on transparent team communication - Prioritizes on-time job delivery - Motivated by operational harmony

Channels

1. AeroTrack Dashboard – central hub 2. Microsoft Teams – live coordination 3. Shared Calendar – scheduling 4. SMS – urgent notices 5. Email – formal updates

C

Cost-Conscious Crystal

- 35 years old - Chartered CFO, aviation startup - MBA in Finance - Manages $2M maintenance budget - East Coast base

Background

Transitioned from corporate finance to aviation five years ago. She established budgeting processes that reduced cost overruns by 25%.

Needs & Pain Points

Needs

1. Detailed maintenance cost breakdowns 2. Automated budget-threshold alerts 3. ROI analytics on each task

Pain Points

1. Hidden maintenance overruns 2. Delayed invoice reconciliations 3. Scattered cost data sources

Psychographics

- Obsessed with budgetary precision - Driven by transparent cost reporting - Values actionable ROI insights

Channels

1. AeroTrack Reports – cost analytics 2. QuickBooks – financial sync 3. Email – approval workflows 4. Zoom – budget meetings 5. CFO Dashboard – financial overview

Product Features

Key capabilities that make this product valuable to its target users.

VibeScan Live Monitor

Continuously streams in-flight vibration metrics from onboard sensors into AeroTrack, providing live visual graphs and key performance indicators. Mechanics gain instant visibility into engine health mid-flight, enabling early detection of irregularities and proactive response.

Requirements

Real-time Vibration Data Streaming
"As a flight mechanic, I want to receive live vibration readings in AeroTrack during flight so that I can detect engine irregularities immediately and plan maintenance before issues escalate."
Description

Enable continuous transmission of vibration metrics from onboard sensors to AeroTrack’s cloud platform with sub-second latency, ensuring mechanics receive up-to-the-moment engine health data mid-flight. This functionality integrates securely with the aircraft’s telemetry suite and AeroTrack’s infrastructure to maintain reliable connectivity and data integrity, reducing the risk of downtime and facilitating proactive maintenance decisions.

Acceptance Criteria
Flight Data Connection Establishment
Given the aircraft is airborne and connected to the telemetry suite When the sensor module powers on Then the system establishes a continuous data connection to the AeroTrack cloud within 5 seconds and maintains it throughout the flight.
Real-Time Graphical Dashboard Updates
Given an active data stream When new vibration data packets arrive Then the live dashboard displays updated graph points at least every 500 milliseconds without visible freezing or stutter.
Secure Data Transmission
Given vibration metrics are transmitted Then all data packets are encrypted using AES-256 and authenticated via digital signatures to prevent tampering or unauthorized access.
Latency Compliance Verification
When measuring round-trip time between sensor transmission and display in the dashboard Then the end-to-end latency does not exceed 1 second in 99% of transmission intervals over a 30-minute flight segment.
Data Integrity Under Packet Loss
Given intermittent connectivity issues simulated with up to 5% packet loss When vibration data is received Then the system reconstructs missing data points without gaps and flags any unrecoverable anomalies in the dashboard.
Threshold-based Alert Notifications
"As a fleet manager, I want to receive instant alerts when vibration levels cross safety limits so that I can dispatch inspections immediately and avoid in-flight failures."
Description

Implement configurable alert rules that trigger notifications when vibration metrics exceed predefined thresholds. Alerts should be delivered via email, SMS, and in-app banners, complete with contextual data and recommended next steps. This capability empowers maintenance teams to react proactively to potential faults and schedule inspections, minimizing unscheduled groundings.

Acceptance Criteria
High Vibration Threshold Exceeded
Given a flight is in progress and vibration metrics surpass the user-defined threshold for more than 5 seconds, When this condition is detected, Then the system sends alert notifications via email, SMS, and in-app banner within 30 seconds, including contextual data and recommended next steps.
Threshold Configuration Persistence Verification
Given a maintenance team member sets new vibration threshold values and alert preferences, When the settings are saved, Then the configurations persist across user sessions and system restarts.
Alert Notification Content Accuracy
Given an alert is triggered due to threshold breach, When notifications are sent, Then each alert must include aircraft ID, timestamp, current vibration metrics, threshold value, and recommended inspection steps.
Notification Channel Failover Handling
Given the email service is unavailable, When an alert is triggered, Then the system still sends notifications via available channels (SMS and in-app) and retries email delivery every 5 minutes.
Multiple Alert De-duplication
Given vibration metrics continuously exceed thresholds, When successive alerts occur within a 10-minute window, Then the system consolidates them into a single alert notification.
Live Interactive Dashboard
"As an independent mechanic, I want a live dashboard to visualize vibration trends so that I can quickly interpret data and share insights with my team."
Description

Design a dynamic, customizable dashboard that visualizes real-time vibration data through graphs, gauges, and trend lines. Users can adjust time windows, zoom into specific data points, and overlay multiple sensor streams for comparative analysis. This visual interface ensures quick comprehension of engine health and simplifies collaboration among maintenance teams.

Acceptance Criteria
Live Vibration Graph Real-Time Update
Given the aircraft is in flight and vibration sensors are streaming data, when a new data point is received, then the dashboard graph must update and render the new point within 500 milliseconds without requiring a manual refresh.
Adjustable Time Window Zoom
Given the user has the live dashboard open, when the user selects a custom start and end timestamp for the vibration data, then the graph must zoom to display only data within that range, and axes labels must adjust accordingly.
Multi-Sensor Data Overlay Comparison
Given multiple vibration sensors are active, when the user selects two or more sensors to overlay, then the dashboard must display each sensor’s data stream in distinct colors with a visible legend and synchronized time axes.
Customizable Gauge Threshold Alerts
Given the user has configured vibration threshold values for critical and warning levels, when a sensor’s live reading crosses a configured threshold, then the corresponding gauge must change color to warning or critical and display an alert icon within 1 second.
Collaborative Data Annotation Sharing
Given the user adds an annotation to a specific data point during a live session, when team members join or view the dashboard, then all annotations must appear in real time on their view, tagged with author and timestamp.
Data Integrity and Security
"As a compliance officer, I want vibration data to be encrypted and access-restricted so that the information remains secure and meets regulatory requirements."
Description

Ensure end-to-end encryption of vibration data in transit and at rest, along with checksum validation to detect transmission errors. Integrate authentication and role-based access control so only authorized personnel can view or modify live metrics. This guarantees compliance with aviation data standards and protects sensitive performance information.

Acceptance Criteria
Secure Data Transmission
Given the onboard vibration sensors transmit data mid-flight When the data is sent to AeroTrack Then the transmission must use end-to-end encryption (TLS 1.3) and adhere to the configured cipher suite without fallback to insecure protocols.
Encrypted Data at Rest
Given vibration data is stored in the AeroTrack database When data is saved Then it must be encrypted at rest using AES-256 with keys managed by the secure key management service.
Checksum Verification
Given a vibration data packet arrives at the server When the packet is processed Then the server must compute and compare the checksum with the transmitted checksum and reject any packet where the checksums do not match.
Role-Based Access Control Enforcement
Given a user with a specific role logs into AeroTrack When the user attempts to view or modify live vibration metrics Then the system must enforce role-based permissions, permitting only authorized actions and denying all others.
Unauthorized Access Attempt
Given an unauthorized user attempts to access live vibration data When the access request is received Then the system must return a 403 Forbidden response, log the attempt in the audit trail, and send an alert to the security team.
Historical Vibration Data Archiving
"As a maintenance analyst, I want to access past vibration records so that I can identify recurring patterns and support audit documentation."
Description

Archive all live-streamed vibration data in AeroTrack’s database with timestamp indexing and metadata tagging. Provide tools for querying, filtering, and exporting historical records to support trend analysis and audit reporting. This archival system underpins long-term monitoring, root cause analysis, and regulatory audits.

Acceptance Criteria
Archival of Incoming Vibration Data
Given a live vibration data packet is received from an onboard sensor, when the data is processed, then it shall be stored in the archival database within 2 seconds of receipt.
Verification of Timestamp Indexing and Metadata Tagging
Given archived vibration data, when retrieved, then each record shall include a UTC timestamp with millisecond precision and metadata fields for aircraft ID, sensor ID, and flight phase.
Filtering and Querying Historical Vibration Data
Given the user applies query filters by date range, aircraft ID, and sensor type, when the query is executed, then the system shall return all matching records within 3 seconds for up to 10,000 records.
Exporting Historical Vibration Data
Given a filtered dataset is selected, when the user requests an export, then the system shall generate a file in CSV or JSON format containing the dataset and metadata and make it available for download within 5 seconds.
Data Integrity and Consistency Check
Given simultaneous data streams from multiple flights, when data is ingested, then there shall be no duplicate or missing records and the record count shall match the number of packets sent, validated hourly.

Sentinel Alert Dashboard

Aggregates and prioritizes vibration anomalies in a centralized dashboard with severity codes and color-coded alerts. Teams receive clear, actionable notifications via email, SMS, or in-app messages, ensuring critical issues are addressed without delay.

Requirements

Real-time Data Aggregation
"As a maintenance technician, I want to see live vibration data from all monitored components so that I can identify developing faults before they escalate into critical failures."
Description

Continuously collect and consolidate vibration anomaly metrics from all connected aircraft sensors into a unified data stream, ensuring the dashboard reflects the latest readings without delay. This functionality enhances situational awareness by providing immediate visibility into machine health trends and enabling fast detection of emerging issues.

Acceptance Criteria
Live Sensor Feed Integration
Given a vibration sensor connected to AeroTrack When it transmits a metric Then the system ingests and appends the metric to the unified data stream without delay
Real-Time Update Latency
Given continuous data flow When a new vibration anomaly is detected Then the dashboard reflects the updated data within 5 seconds of reception
High-Volume Data Handling
Given 100+ sensors transmitting simultaneously When each sensor sends anomaly metrics at its configured intervals Then the system processes and consolidates all metrics without data loss or performance degradation (throughput ≥ 10,000 events/minute)
Data Integrity Verification
Given a sequence of vibration metrics When data aggregation occurs Then no duplicate records appear in the unified stream and sequence order is maintained
Dashboard Automatic Refresh
Given the dashboard is open in a user's browser When new aggregated data arrives Then the dashboard automatically updates to display the latest readings without requiring a manual refresh
Severity-based Alert Prioritization
"As a fleet manager, I want critical alerts to appear at the top of my dashboard with clear severity colors so that I can address the highest-risk problems immediately."
Description

Automatically evaluate incoming anomaly readings and assign severity levels based on predefined thresholds and historical baselines. Display color-coded indicators on the dashboard and sort alerts by their criticality to guide users toward the most urgent issues first.

Acceptance Criteria
Real-time Critical Alert Identification
Given an incoming vibration reading exceeds the critical threshold, when the system processes the reading, then assign severity level "Critical", display a red indicator, and place the alert at the top of the alert list.
Historical Baseline Severity Adjustment
Given an anomaly reading is 20% above the historical baseline but below the critical threshold, when processing, then assign severity level "High", display an orange indicator, and sort it above medium- and low-severity alerts.
Routine Anomaly Logging
Given a vibration reading within normal operating range but exceeding the minor threshold, when processed, then assign severity level "Low", display a green indicator, and append the alert to the end of the list.
Rapid Succession Alert Rate Limiting
Given identical anomaly readings occur within a one-minute window, when aggregated, then group them under a single alert entry showing an occurrence count, while preserving the highest severity level.
Alert Notification Dispatch
Given a critical or high-severity alert is generated, when the alert is logged, then send notifications via email, SMS, and in-app messaging within two minutes of detection.
Multi-channel Notification Dispatch
"As an on-call engineer, I want to receive urgent alerts on my phone and in my email so that I can respond quickly even when I’m away from the control room."
Description

Deliver anomaly alerts via email, SMS, and in-app messaging simultaneously, with configurable preferences for each user. Ensure reliable delivery by integrating with established communication services and providing delivery status feedback.

Acceptance Criteria
Critical Anomaly Email Notification
Given a vibration anomaly with severity code 'Critical' is detected When the alert is generated Then the system must send an email to each user's registered address within 2 minutes and record the delivery status as 'Sent'
SMS Alert Delivery for High-Severity Anomalies
Given a vibration anomaly with severity code 'High' is detected and the user has SMS notifications enabled When the alert is dispatched Then the system must send an SMS via the integrated messaging service within 1 minute and log the delivery receipt
In-App Notification Receipt and Display
Given a user is logged into the AeroTrack dashboard When an anomaly is detected Then an in-app notification must appear in the user's notification center in real time with correct severity color and timestamp
User Configurable Notification Preferences
Given a user accesses their notification settings When they enable or disable email, SMS, or in-app channels Then the system must persist the updated preferences and apply them to all subsequent anomaly notifications
Delivery Failure Handling and Retry
Given a notification fails to send via any configured channel When the system receives a delivery failure response Then it must retry sending up to two additional times at 5-minute intervals and log each retry attempt
Delivery Status Feedback Dashboard Update
Given notifications are dispatched via email, SMS, and in-app channels When delivery statuses are updated Then the notification dashboard must reflect real-time status for each channel including 'Sent', 'Delivered', or 'Failed'
Customizable Alert Thresholds
"As a maintenance supervisor, I want to set specific alert thresholds for different engine types so that I only receive relevant notifications tailored to each aircraft’s specifications."
Description

Allow users to define and adjust vibration limits, threshold multipliers, and notification conditions for each aircraft model or component type. Store and version these settings per fleet to accommodate varying maintenance standards and operational profiles.

Acceptance Criteria
Default Threshold Configuration for New Aircraft Models
Given a user adds a new aircraft model to the fleet settings, when the model is saved, then the system populates vibration limit and multiplier values with manufacturer defaults and marks them as editable.
User-Defined Threshold Adjustment Interface
Given an existing aircraft model’s threshold settings are displayed, when the user modifies vibration limits or multipliers and clicks Save, then the updated values are stored and reflected immediately in the Sentinel Alert Dashboard.
Threshold Versioning Per Fleet
Given a user updates threshold settings for any aircraft or component, when the changes are saved, then the system creates a new version entry with timestamp and user ID, and retains previous versions for audit.
Notification Condition Customization
Given a user accesses notification settings, when they define custom notification conditions (email, SMS, in-app) for specific severity levels, then alerts are sent only under the specified conditions.
Threshold Change Persistence Across Sessions
Given a user logs out after updating thresholds, when the same user logs back in, then the previously saved threshold settings are loaded and displayed without requiring reconfiguration.
Historical Alert Log and Analytics
"As a compliance officer, I want to review a log of all vibration alerts from the last quarter so that I can prepare detailed maintenance and audit reports."
Description

Maintain a searchable archive of all past alerts, including timestamps, severity levels, and resolution status. Provide filtering, sorting, and visualization tools so users can analyze alert patterns, identify recurring faults, and generate audit reports.

Acceptance Criteria
Search Past Alerts by Date Range
Given the user is on the Historical Alert Log page, when they enter a valid start date and end date and trigger the search, then the system displays only alerts whose timestamps fall within that date range.
Filter Alerts by Severity and Resolution Status
Given the user has opened filter options, when they select one or more severity levels and resolution statuses and apply the filter, then only alerts matching all selected criteria appear in the log.
Sort Alerts by Timestamp or Severity
Given the alert log is displayed, when the user clicks on a column header for timestamp or severity, then the system toggles sorting of alerts in ascending or descending order based on that column.
Visualize Alert Frequency Over Time
Given the user navigates to the analytics view, when they select a date range and click 'Generate Chart', then the system renders a time-series graph showing alert counts per time interval, reflecting the correct data points.
Export Filtered Alerts as Audit Report
Given the user has applied filters or sorting to the alert log, when they click the 'Export Report' button, then the system generates and downloads a CSV file containing exactly the displayed set of alerts with all relevant fields.
Alert Acknowledgment and Resolution Workflow
"As a lead mechanic, I want to mark alerts as acknowledged and assign them to specific team members so that everyone knows who’s responsible for fixing each issue and by when."
Description

Enable users to acknowledge, assign, and resolve alerts directly within the dashboard. Track status changes, attach notes, and enforce SLAs to ensure accountability and visibility throughout the maintenance lifecycle.

Acceptance Criteria
Alert Acknowledgment by Mechanic
Given a logged-in mechanic views an unacknowledged alert in the Sentinel Dashboard When the mechanic clicks the “Acknowledge” button Then the alert status updates to “Acknowledged” and the acknowledgment timestamp and user ID are recorded in the alert history
Alert Assignment to Technician
Given an acknowledged alert in the dashboard When a user selects “Assign,” chooses a technician, and confirms Then the alert is assigned to the selected technician, the technician receives a notification (email/SMS/in-app), and the assignment details are logged
Alert Resolution with Note Attachment
Given an assigned alert pending resolution When the assigned technician clicks “Resolve,” enters resolution notes, and submits Then the alert status updates to “Resolved,” the resolution notes are saved and visible in the alert history, and a resolution timestamp is recorded
SLA Enforcement on Alert Status
Given an alert has an SLA deadline configured When the SLA deadline passes without the alert being resolved Then the system changes the alert status to “Overdue,” sends escalation notifications to the manager, and logs the SLA breach with timestamp and user details
Audit Trail for Status Changes
Given any status change occurs on an alert When the status is updated (Acknowledged, Assigned, Resolved, Overdue) Then the system records the previous and new status, timestamp, and user in the audit trail, and this history is viewable in the alert details

AutoSchedule Inspections

Automatically generates and assigns inspection tasks based on detected anomalies and predefined severity rules. This feature syncs with mechanics’ calendars, issues work orders in AeroTrack, and tracks task completion, eliminating manual scheduling burdens.

Requirements

Anomaly Detection Integration
"As a maintenance manager, I want anomalies detected by the system to automatically feed into the scheduling module so that I can promptly assign inspections without manual intervention."
Description

Integrate with AeroTrack’s anomaly detection engine to automatically capture detected aircraft system anomalies, parse sensor data or manual entries, and trigger the inspection scheduling workflow. This requirement ensures seamless data flow from anomaly detection to task creation, reducing manual data entry and improving the accuracy and timeliness of inspection tasks.

Acceptance Criteria
Automated Task Creation from Sensor Anomalies
Given a valid anomaly report received from the detection engine When the integration service processes the anomaly data Then an inspection task is created in AeroTrack within 60 seconds with correct system ID, anomaly details, and timestamp
Manual Entry Anomaly Triggers Scheduling
Given a mechanic manually enters anomaly data via the AeroTrack interface When the data is submitted and validated Then the inspection scheduling workflow is initiated automatically and generates a task matching the entered anomaly parameters
Severity-Based Inspection Scheduling
Given anomalies classified by severity levels (Low, Medium, High) When anomalies are processed by the scheduling engine Then tasks are assigned priority codes per predefined severity rules and High-severity tasks are flagged for same-day scheduling
Mechanic Calendar Synchronization
Given a mechanic’s availability is synced to AeroTrack via calendar integration When an inspection task is generated Then the task is scheduled in the mechanic’s next available slot and a calendar event is created with accurate date, time, and task details
Task Completion Update and Logging
Given a mechanic marks an inspection task as completed in their AeroTrack mobile or web app When the completion status is submitted Then the task status updates to ‘Completed’ in AeroTrack and the anomaly log entry is linked to the completed task record
Severity Rules Configuration
"As a fleet manager, I want to configure severity thresholds for various anomaly types so that inspections are scheduled in accordance with our maintenance and compliance protocols."
Description

Provide an interface for administrators to define and manage severity rules that determine when and how inspections are scheduled based on anomaly type, severity level, and aircraft usage metrics. This requirement allows customization of scheduling logic, ensuring the system adapts to different maintenance policies and regulatory compliance needs.

Acceptance Criteria
Adding a New Severity Rule
Given an administrator is on the Severity Rules Configuration page, when they input an anomaly type, severity level thresholds, usage metrics, and click 'Save', then a new severity rule is created, displayed in the list, and persists after page reload.
Editing an Existing Severity Rule
Given an existing severity rule is listed, when the administrator edits its parameters and clicks 'Update', then the changes are saved and reflected immediately in the configuration list, and remain after logout/login.
Deleting a Severity Rule
Given a severity rule exists, when the administrator selects 'Delete' and confirms, then the rule is removed from the list and no longer triggers inspections, and no errors occur.
Applying Severity Rules to Task Scheduling
Given an aircraft anomaly log matching a configured severity rule, when the anomaly is saved, then an inspection task is automatically scheduled, assigned, and visible in the calendar within 5 minutes.
Validation of Input Fields in Severity Rules Configuration
Given invalid or incomplete inputs (e.g., missing severity level, out-of-range usage metrics), when the administrator attempts to save, then the system prevents submission and displays inline validation messages specifying required corrections.
Calendar Sync Engine
"As a mechanic, I want my inspection assignments to appear automatically in my personal calendar so that I can manage my workload without switching between apps."
Description

Develop a bi-directional synchronization engine that connects AeroTrack with mechanics’ external calendars (Google Calendar, Outlook) to check availability, insert scheduled inspection appointments, and update AeroTrack’s work order timelines in real time. This ensures mechanics see their tasks in one place and reduces scheduling conflicts.

Acceptance Criteria
External Calendar Connection Established
Given the mechanic has navigated to the calendar sync settings and provided valid OAuth credentials for Google Calendar or Outlook, When they click 'Connect Calendar', Then AeroTrack successfully establishes a bi-directional sync connection and displays a confirmation message without errors.
Availability Check Before Scheduling
Given an inspection task with a scheduled time, When the Calendar Sync Engine queries the mechanic's external calendar, Then it accurately retrieves and displays available time slots and identifies any conflicts.
Appointment Insertion in External Calendar
Given a new inspection task assigned in AeroTrack, When AeroTrack pushes the event to the mechanic's connected external calendar, Then the event appears on the external calendar with correct title, time, description, and reminder settings.
Real-time Work Order Timeline Updates
Given a mechanic reschedules or completes an inspection in their external calendar, When the Calendar Sync Engine detects the change, Then AeroTrack updates the corresponding work order timeline in real time with the new schedule or completion status.
Conflict Detection and Resolution
Given overlapping events between AeroTrack tasks and external calendar entries, When the engine detects a conflict, Then it alerts the mechanic in AeroTrack with conflict details and suggests alternative available slots.
Automatic Work Order Generation
"As an operations coordinator, I want completed inspection tasks to generate comprehensive work orders automatically so that mechanics have all the information they need without manual paperwork."
Description

Implement automated creation of detailed work orders in AeroTrack once an inspection is scheduled. Each work order should include the anomaly report, required tools and parts, estimated inspection duration, and assigned mechanic. This streamlines task initiation and ensures all necessary information is readily available.

Acceptance Criteria
New Inspection Scheduling Initiates Work Order Creation
Given an inspection is scheduled by the anomaly detection system, when the anomaly is recorded in AeroTrack, then a new work order is automatically created in the work orders dashboard.
Inclusion of Anomaly Details in Work Order
Given a work order is generated, then it contains the anomaly report including description, severity level, and timestamp.
Automated Tools and Parts Listing
Given a specific anomaly type is identified, then the work order lists all required tools and parts based on the predefined repair procedure lookup.
Display of Estimated Inspection Duration
Given the anomaly’s severity and type, then the work order displays an estimated inspection duration calculated within ±15 minutes of the standard baseline.
Automatic Assignment to Available Mechanic
Given mechanics’ calendars are synced, then the work order is assigned to the first available qualified mechanic and appears in their calendar within 5 minutes.
Inspection Task Tracking Dashboard
"As a maintenance supervisor, I want a centralized view of all scheduled inspections so that I can monitor progress and address any delays immediately."
Description

Create a dashboard in AeroTrack that tracks the status of all auto-scheduled inspections in real time, showing assigned mechanic, start and due dates, completion status, and any follow-up actions required. Include filtering and alerting capabilities to highlight overdue or critical tasks.

Acceptance Criteria
Real-Time Status Overview
Given the Inspection Task Tracking Dashboard is open, when an auto-scheduled inspection task is created or its status is updated, then the dashboard displays the new or updated task status within 5 seconds without requiring a page refresh.
Mechanic Assignment Verification
Given an inspection task is auto-scheduled and assigned to a mechanic, when viewing the dashboard, then the 'Assigned Mechanic' column shows the correct mechanic name and clicking the name opens the mechanic's profile page.
Due Date Alerting
Given tasks with due dates approaching within 24 hours, when a task enters this window, then the dashboard highlights the task row in yellow and sends an alert notification to the assigned mechanic and fleet manager.
Overdue Task Highlight
Given a task’s due date has passed and its completion status is not 'Completed', then the dashboard marks the task row in red, adds an 'Overdue' label next to the status, and logs an overdue alert in the notifications panel.
Follow-Up Action Tracking
Given a completed inspection that requires follow-up actions, when a user expands the task details, then the dashboard displays a list of required follow-up actions with their statuses and allows creation of new follow-up tasks directly from the panel.

Predictive Wear Forecast

Leverages historical vibration data and machine learning algorithms to forecast component degradation and estimate remaining service life. Fleet managers can plan maintenance windows weeks in advance, reducing unscheduled downtime and optimizing resource allocation.

Requirements

Data Ingestion Pipeline
"As a fleet manager, I want the system to automatically collect and standardize vibration data from all my aircraft sensors so that I can trust the quality and completeness of inputs feeding the predictive wear models."
Description

Securely ingest and normalize historical and real-time vibration sensor data from aircraft components, parse it into consistent time-series formats, and store it in a scalable, high-performance database. This ensures reliable and accurate input for downstream machine learning processes, minimizes data loss, and maintains data integrity across various sensor models and firmware versions.

Acceptance Criteria
Real-time Data Ingestion from New Sensor Model
Given the pipeline receives a data packet from sensor model X with firmware v2.1 When the ingestion service processes the packet Then the data is parsed into the standard time-series schema and stored within 5 seconds without errors
Batch Ingestion of Historical Data Sets
Given a CSV file containing 100,000 historical vibration records When the batch ingestion job runs Then all records are validated, normalized, and inserted into the database with zero data loss
Data Normalization across Sensor Firmware Versions
Given incoming vibration data with varying timestamp formats and sampling rates When the normalization module processes the data Then timestamps are converted to UTC ISO 8601 and sampling rates are resampled to 1 Hz consistently
Secure Transmission and Storage of Ingested Data
Given vibration data in transit and at rest When data is ingested and stored Then TLS 1.2+ encryption is used for transport and AES-256 encryption is applied to all stored data with audit logs recorded
High-Volume Data Burst Handling
Given a burst of 1 million sensor records per minute When the pipeline receives the burst Then no data is dropped processing latency remains under 2 seconds and auto-scaling triggers additional ingestion nodes
Predictive Model Training Framework
"As a data engineer, I want an automated training workflow that retrains and validates degradation models as new data arrives so that forecast accuracy stays high without manual intervention."
Description

Implement an automated machine learning pipeline that trains, validates, and tunes predictive models for component degradation based on historical vibration data. The framework should support scheduled retraining, hyperparameter optimization, and model versioning. This ensures models remain accurate as usage patterns and environmental conditions evolve.

Acceptance Criteria
Initial Model Training Setup
Given a historical vibration dataset of at least 12 months is available in the data lake When the automated training pipeline is initiated Then a new predictive model is trained using default hyperparameters And the model’s performance metrics (RMSE < 0.05, R² > 0.9) are calculated and stored And the new model version is registered in the model registry
Automated Scheduled Retraining Execution
Given a trained predictive model exists with its last training date more than 30 days ago When the weekly retraining scheduler triggers the pipeline at the configured time Then the system retrieves the latest vibration data, retrains the model, and performs validation And the retrained model’s metrics meet or exceed the current model’s performance And the new model version is deployed for inference
Hyperparameter Optimization Integration
Given a defined hyperparameter search space for the predictive model When the hyperparameter tuning routine executes during model training Then the system selects the optimal hyperparameters based on cross-validation score improvement of at least 5% And the optimized hyperparameters are automatically applied in the final model training step And tuning results are logged for audit
Model Versioning and Rollback
Given multiple versions of the predictive model are registered When a newly trained model fails to meet the minimum validation criteria (RMSE < 0.05) Then the system automatically rolls back to the most recent stable model version And sends an alert notification with version and performance details to the maintenance team
Validation of Model Performance under Changing Conditions
Given a test dataset that reflects recent changes in operational conditions When the active predictive model is evaluated on this dataset Then its performance metrics remain within predefined thresholds (RMSE < 0.05, R² > 0.9) And any performance degradation beyond thresholds triggers an automatic retraining alert
Remaining Useful Life Estimation Engine
"As a maintenance planner, I want to see up-to-date RUL estimates for critical parts so that I can schedule maintenance proactively and avoid unexpected failures."
Description

Develop a real-time estimation engine that applies trained models to live sensor streams and computes remaining useful life (RUL) for each monitored component. The engine should generate RUL values with configurable confidence intervals and update results continuously as new data is ingested.

Acceptance Criteria
Live Data Stream Processing
Given the estimation engine receives continuous vibration sensor data at 1 Hz for a monitored component, When new data is ingested, Then the engine processes the data and outputs an RUL estimate within 500 milliseconds of data receipt.
Confidence Interval Configuration
Given a user sets the desired confidence interval to 90% in the engine configuration, When the engine computes RUL estimates, Then each RUL output includes an upper and lower bound reflecting the 90% confidence interval.
Continuous RUL Updates
Given the engine ingests new sensor data every minute, When each data batch is processed, Then the dashboard updates the RUL value for the component within 60 seconds without interruption.
Model Performance Validation
Given a labeled test dataset with known component lifespans, When the engine processes the dataset offline, Then the mean absolute error between predicted RUL and actual remaining life is ≤ 10% of the actual remaining life for at least 95% of test samples.
Alert Generation for Imminent Failure
Given the RUL estimate for a component falls below the user-configured warning threshold, When the engine detects the condition, Then it sends an alert notification to the fleet manager within 5 seconds via the dashboard and email.
Forecast Visualization Dashboard
"As a fleet manager, I want to view clear graphs of predicted wear and remaining life for each component so that I can quickly assess health status and plan maintenance windows."
Description

Create an interactive dashboard that visualizes component degradation curves, RUL forecasts, and confidence intervals over selectable time horizons. Users should be able to filter by aircraft, component type, and date range, and compare historical performance against projected wear trends.

Acceptance Criteria
Filter by Aircraft Scenario
Given the Forecast Visualization Dashboard is displayed When the user selects a specific aircraft from the aircraft dropdown Then the dashboard updates to show degradation curves and RUL forecasts only for the selected aircraft
Time Horizon Selection Scenario
Given the Forecast Visualization Dashboard is displayed When the user sets a start date and end date using the date range picker Then the chart’s x-axis and displayed data adjust to include only the data points within the selected date range
Performance Comparison Scenario
Given the Forecast Visualization Dashboard is displayed When the user toggles on the historical vs projected comparison feature Then the dashboard overlays historical performance data and forecasted wear trends on the same chart with distinct colors and a legend
Confidence Interval Display Scenario
Given the Forecast Visualization Dashboard is displayed and RUL forecasts are shown When the user enables confidence intervals Then the chart displays shaded regions around the forecast curve representing the upper and lower bounds at the selected confidence level
Export Visualization Scenario
Given the Forecast Visualization Dashboard is displayed with applied filters and time horizon When the user clicks the export button Then the system generates and downloads a PNG file reflecting the current chart view, including legends, filters, and selected data series
Maintenance Alert & Schedule Integration
"As a maintenance coordinator, I want to receive alerts and auto-created work orders when a component’s forecasted life is low so that I can allocate resources and book hangar time in advance."
Description

Implement an alerting system that triggers notifications when RUL for any component falls below defined thresholds. Automatically generate maintenance work orders and sync them with the fleet’s scheduling calendar or external CMMS. This streamlines task assignment and ensures timely interventions.

Acceptance Criteria
Threshold Breach Notification
Given a component’s RUL falls below its predefined threshold When the system processes new vibration data Then an alert notification is generated and sent to the assigned fleet manager within 2 minutes
Automatic Work Order Generation
Given an alert notification for low RUL When the alert is generated Then the system automatically creates a maintenance work order including component details, RUL value, recommended action, and due date
Work Order Scheduling Sync
Given a new maintenance work order When the system syncs with the fleet scheduling calendar Then the work order appears in the calendar at the scheduled maintenance window and notifies relevant mechanics
CMMS Integration Failover
Given the external CMMS is unavailable When the system attempts to sync a work order Then the work order is queued and retried every 10 minutes until successful and an error log is recorded
Duplicate Alert Suppression
Given multiple incoming data points indicating RUL below threshold When an alert has already been sent for a component within the last 24 hours Then no additional duplicate alerts are sent

Adaptive Threshold Engine

Utilizes AI to create dynamic vibration thresholds tailored to specific aircraft models and operational conditions. By learning normal vibration signatures over time, it minimizes false positives and enhances anomaly detection accuracy.

Requirements

Vibration Data Ingestion
"As a maintenance engineer, I want the system to automatically ingest and normalize vibration data from different sensors so that I have a reliable and consistent data foundation for anomaly detection."
Description

Implement a robust data ingestion pipeline that collects raw vibration signals from aircraft sensors, normalizes inputs for various sensor types, and securely stores them in a centralized repository. This requirement ensures consistent, high-quality data streams to feed the Adaptive Threshold Engine, enabling accurate learning of normal vibration patterns and streamlining maintenance workflows within AeroTrack.

Acceptance Criteria
Raw Vibration Data Collection
Given the aircraft sensor is active and generating vibration signals When the ingestion pipeline receives the raw data packets Then each packet is stored in the centralized repository within 5 seconds of receipt
Multi-Sensor Data Normalization
Given raw vibration signals from multiple sensor models When the ingestion pipeline processes the signals Then outputs conform to the common data schema with correct field mappings and unit conversions
Data Integrity Validation
Given incoming raw vibration data When integrity checks are performed Then checksum validation passes for 99.9% of samples and data loss remains below 0.1%
Secure Data Transmission
Given vibration data in transit from aircraft to server When data is transmitted Then TLS 1.2+ encryption is applied and authentication tokens are validated to prevent unauthorized access
Historical Data Retrieval Performance
Given a request for the last 30 days of vibration data for an aircraft When querying the centralized repository Then the response returns complete data within 2 seconds
Machine Learning Model Training
"As a fleet manager, I want the system to train and update vibration threshold models automatically so that anomaly detection remains accurate as operating conditions evolve."
Description

Develop an automated model training module that leverages historical vibration data to train AI models for each aircraft type, updating them periodically as new data arrives. This component will apply supervised and unsupervised learning techniques to establish baseline vibration thresholds, improving detection accuracy and reducing false alarms over time.

Acceptance Criteria
Initial Model Training Initialization
Given historical vibration data for a specific aircraft type is uploaded When the training job is manually triggered Then the system must preprocess at least 95% of the data without errors And complete the training within 4 hours for datasets up to 10 GB And generate and store a baseline vibration threshold model in the model repository
Periodic Model Retraining with New Data
Given new vibration data collected over the past 7 days When the scheduled retraining job runs Then the system must automatically start the retraining process And incorporate at least 90% of the newly received data And produce an updated model with an incremented version number stored in the repository
Model Validation Against Benchmark Dataset
Given a predefined benchmark dataset containing known vibration anomalies When the model validation routine executes Then the model must achieve at least 92% precision and 92% recall for anomaly detection And generate a validation report accessible in the dashboard
Automated Threshold Adjustment Deployment
Given a validated updated model is available When the deployment pipeline is initiated Then the system must apply the new vibration thresholds to live monitoring within 30 minutes And log a successful deployment entry without causing any monitoring downtime
Error Handling for Insufficient Data
Given an aircraft type has less than 1000 vibration data records When a training job is initiated Then the system must abort the training And log an error code for insufficient data And notify the user with a clear message explaining the data requirement
Real-Time Threshold Adjustment
"As a pilot, I want vibration thresholds to adjust in real time according to flight conditions so that I receive only relevant maintenance alerts and avoid false positives."
Description

Create a dynamic threshold adjustment mechanism that recalibrates vibration limits in real time based on operational factors such as flight phase, engine load, and environmental conditions. By adapting thresholds to live conditions, this feature enhances the precision of anomaly detection and minimizes unnecessary maintenance alerts.

Acceptance Criteria
Flight Phase Based Threshold Recalibration
Given the aircraft enters a new flight phase (takeoff, climb, cruise, descent, landing), when the system detects the phase transition, then it must recalibrate vibration thresholds within 5 seconds to values predefined for that phase.
Engine Load Adaptive Calibration
Given engine load increases by more than 10% over a 30-second interval, when the system senses this change, then it must adjust vibration thresholds by up to ±15% to account for the new load conditions.
Environmental Condition Threshold Update
Given external temperature, humidity, or wind speed changes beyond preset limits, when the system receives updated sensor data, then it must recalculate vibration thresholds within 10 seconds based on the current environmental model.
Continuous Learning Over Time
Given at least 30 flight cycles have been completed, when historical vibration data is analyzed, then the system must automatically refine baseline thresholds by at least 5% to improve anomaly detection accuracy.
Alert Suppression for Normal Operations
Given vibration readings remain within dynamically adjusted thresholds for a continuous 60-minute period, when thresholds are stable, then no maintenance alerts shall be generated for that interval.
Anomaly Alert and Notification System
"As an operations manager, I want to receive timely alerts for critical vibration anomalies so that my team can react quickly and prevent potential component failures."
Description

Implement an alerting framework that triggers notifications when vibration patterns deviate from adaptive thresholds, delivering real-time alerts via email, SMS, and in-app messages. Include configurable severity levels and escalation rules to ensure critical anomalies prompt immediate attention, improving safety and reducing downtime.

Acceptance Criteria
In-App Notification for Minor Anomaly
Given vibration exceeds adaptive threshold by less than 10% and severity is 'Minor', when the anomaly is detected, then an in-app notification is displayed within 5 seconds showing aircraft ID, timestamp, severity level 'Minor', and recommended next steps.
Email Alert for Moderate Severity Anomaly
Given vibration exceeds adaptive threshold by 10–30% and severity is 'Moderate', when the anomaly is detected, then an email alert is sent to all subscribed maintenance personnel within 30 seconds containing aircraft details, anomaly data visualization, and severity level 'Moderate'.
SMS Escalation for Critical Anomaly
Given vibration exceeds adaptive threshold by more than 30% and severity is 'Critical', when the anomaly is detected and no acknowledgement is received within 5 minutes, then an SMS alert is sent to the designated escalation contact list with the urgent severity 'Critical' and next-step instructions.
Severity Level Configuration Persistence
Given a user updates severity-level thresholds in system settings, when the user saves the changes, then the new thresholds are applied immediately to subsequent vibration analyses and persist after system restart.
Notification Preferences Respected
Given a user has disabled SMS notifications in their profile, when any anomaly occurs, then the system sends only email and in-app notifications to that user and does not send SMS.
Threshold Visualization Dashboard
"As a maintenance supervisor, I want to visualize vibration thresholds and trends on a dashboard so that I can easily monitor aircraft health and identify emerging issues."
Description

Design an interactive dashboard within AeroTrack that visualizes adaptive thresholds, historical vibration trends, and real-time sensor data overlay. Provide intuitive controls for filtering by aircraft model, time period, and severity, enabling users to explore threshold adjustments and investigation of anomalies in a unified interface.

Acceptance Criteria
Real-Time Vibration Data Review
Given the dashboard is open and connected to an aircraft, when real-time sensor data is received, then the adaptive thresholds and current vibration values are displayed as overlaid line graphs updating every second.
Historical Vibration Trend Analysis
Given the user selects a time period, when the date range and aircraft model filters are applied, then the dashboard displays a smooth historical vibration trend line with threshold bands and tooltips showing min, max, and average values.
Severity Filter Application
Given multiple anomaly events are logged, when a severity level filter (low, medium, high) is selected, then only events matching the selected severity are highlighted on the vibration timeline.
Threshold Adjustment Visualization
Given adaptive threshold adjustments occur, when the AI recalculates thresholds, then the dashboard updates the threshold bands in real-time and logs each change in the threshold history panel.
Export of Visualization Data
Given the user clicks the export button, when an export request is confirmed, then the system generates a CSV containing timestamped vibration readings, threshold values, and anomaly flags for the selected period.

Post-Inspection Sync

Integrates inspection findings and corrective actions back into the SkyGuard Sentinel system to refine detection models. As mechanics log repair outcomes, the system self-adjusts its analytics, continuously improving its predictive precision.

Requirements

Inspection Data Ingestion
"As an aircraft mechanic, I want to record my inspection findings directly into AeroTrack so that all data is centralized and immediately available for analysis and compliance tracking."
Description

The system captures and ingests detailed inspection findings from mechanics in real time, including identified defects, component conditions, and contextual metadata. It integrates with existing logbook entries and ensures seamless data flow into AeroTrack, laying the foundation for accurate analytics and predictive modeling. This requirement includes structuring data in standardized formats, enabling immediate accessibility for downstream processes, and ensuring no loss of critical inspection details.

Acceptance Criteria
Real-Time Inspection Data Capture
Given a mechanic submits an inspection report via the mobile app, when the report is saved, then the system ingests and stores the data within 5 seconds and displays a confirmation message.
Standardized Data Format Validation
All ingested inspection data must conform to the defined JSON schema version 1.0; any data not matching the schema is rejected with a 400 Bad Request error and descriptive validation messages.
Logbook Entry Association
When inspection metadata includes an existing logbook entry ID, then the system automatically associates the new inspection record with that logbook entry and displays the updated history with the new inspection ID.
Data Completeness Check
Inspection entries must include defect type, severity, component ID, timestamp, and mechanic ID; any submission missing one or more required fields returns a validation error and prevents ingestion.
Error Handling and Retry Mechanism
If the ingestion service encounters a temporary network failure, then the client automatically retries up to 3 times, and upon success, logs the retry details in the audit log.
Data Accessibility for Downstream Analytics
Once inspection data is ingested, within 1 minute it must be available through the analytics API endpoint, and API calls return the latest inspection record with a 200 OK response.
Corrective Action Logger
"As a maintenance technician, I want to log corrective actions and repair details in AeroTrack so that I can maintain accurate maintenance histories and support audit requirements."
Description

Mechanics can log detailed corrective actions, repair outcomes, and parts replacements directly associated with inspection findings. The logger supports free-text notes, structured checklists, and attachment of supporting documents or photos. It ensures that every action is traceable, timestamped, and linked to relevant inspection entries, facilitating transparency and audit readiness.

Acceptance Criteria
Logging Detailed Corrective Actions
Given a mechanic has completed an inspection entry, When they access the Corrective Action Logger and input free-text notes of at least 10 characters describing the repair, Then the “Save” button becomes enabled and the notes are stored with the action entry.
Attaching Documents and Photos
Given a mechanic is logging a corrective action, When they click “Add Attachment” and select one or more files (jpg, png, pdf) up to 10MB each, Then the files upload successfully and are displayed as attachments within the corrective action entry.
Linking Actions to Inspection Entries
Given a corrective action is saved, When viewing the associated inspection record, Then the corrective action appears under the “Corrective Actions” section linked to the correct inspection ID, and the linkage cannot be edited.
Structured Checklist Completion
Given a mechanic uses the structured checklist within the corrective action logger, When they mark each required checklist item as completed, Then the system records each item’s status and prevents the action entry from being saved until all required items are addressed.
Timestamp and User Audit
Given any corrective action entry is saved, When the save action completes, Then the system records the exact timestamp in ISO 8601 format and logs the current user’s ID, and this metadata is visible in the audit trail for that entry.
Automated Model Retraining
"As a fleet manager, I want AeroTrack to automatically retrain its predictive models based on my real-world inspection results so that the system's forecasts become increasingly accurate over time."
Description

A backend pipeline processes logged inspection and corrective action data to retrain and refine the predictive detection models in SkyGuard Sentinel. The pipeline normalizes incoming data, triggers retraining jobs, validates model performance improvements, and deploys updated models with zero downtime. This continuous learning capability enhances prediction accuracy with each synced dataset.

Acceptance Criteria
Data Ingestion and Normalization
Given new inspection findings and corrective action logs are received by the backend pipeline, when data ingestion occurs, then all fields are normalized according to schema standards and staged in the training dataset repository within 10 minutes and with zero errors.
Retraining Job Trigger
Given the accumulation of at least 100 new inspection records or 24 hours since the last training, when the pipeline evaluates data volume and timestamp, then it automatically initiates a retraining job in the orchestration system without manual intervention.
Model Performance Validation
Given a completed retraining job, when the new model is evaluated against the validation dataset, then it must achieve at least a 5% improvement in precision and recall over the current production model and meet predefined performance thresholds.
Zero Downtime Deployment
Given a validated retrained model, when the deployment process is executed, then the system deploys the new model in parallel, performs health checks, and shifts traffic to the updated model with no downtime or service interruption.
Automated Rollback on Failure
Given the deployment of a new model, when post-deployment health checks fail or performance metrics drop below acceptable thresholds within the first hour, then the system automatically rolls back to the previous model within 5 minutes.
Sync Status Dashboard
"As an operations manager, I want to view the sync status and history so that I can verify that inspection data is being integrated correctly and troubleshoot any issues promptly."
Description

A user-facing dashboard displays the status of post-inspection data sync, including progress indicators, error counts, and last sync timestamps. Users can filter by aircraft, inspection date, or mechanic, and receive real-time notifications for sync completions or failures. This dashboard ensures transparency and allows users to monitor the data flow into the analytic engine.

Acceptance Criteria
Sync Progress Visibility
Given the dashboard is open and a post-inspection sync is in progress, When the sync initiates, Then the dashboard displays a progress bar showing percentage completion, and updates the percentage at least every 5 seconds, and displays the aircraft identifier and inspection ID next to the progress bar.
Error Count Display
Given a completed sync operation with one or more errors, When I view the sync status dashboard, Then the dashboard displays the total error count next to the corresponding aircraft entry, and clicking the error count opens a detailed error report modal.
Last Sync Timestamp Accuracy
Given multiple sync operations have occurred for an aircraft, When I view the dashboard entries, Then the Last Sync Timestamp field shows the timestamp of the most recent successful sync in UTC, and updates automatically immediately after a new successful sync completes.
Filter Functionality by Criteria
Given the dashboard contains entries for various aircraft, mechanics, and dates, When I apply filters by aircraft, inspection date range, and/or mechanic, Then only the entries matching all selected criteria are displayed, and the filter can be cleared to restore the full entry list.
Real-time Notifications Handling
Given a sync completes successfully or fails, When the event occurs, Then the user receives a notification within 10 seconds, and the notification includes aircraft ID, inspection date, mechanic name, and sync result status.
Data Validation and Error Handling
"As a system administrator, I want AeroTrack to validate incoming inspection data and alert me of any errors so that I can maintain high data quality for accurate predictive analysis."
Description

The system performs automated validation of incoming inspection and corrective action data, checking for completeness, format consistency, and logical coherence. When errors are detected, the system logs detailed error reports and notifies the responsible user with actionable feedback. This requirement ensures data integrity, prevents corrupt or incomplete records from impacting analytics, and supports quick resolution of issues.

Acceptance Criteria
Incomplete Data Detection
Given an inspection record with one or more missing mandatory fields When the system receives the data Then the record is rejected and an error is logged specifying the missing field names
Format Consistency Validation
Given a corrective action entry with improperly formatted dates or numeric values When the system processes the entry Then it flags each formatting issue and prevents the data from entering the analytics pipeline
Logical Coherence Verification
Given an inspection outcome with numeric values outside predefined logical ranges When validation runs Then the system identifies the inconsistency, marks the entry for manual review, and does not include it in analytics
Error Logging Detail Capture
Given any validation error occurs When the system logs the error Then the log entry includes timestamp, user ID, record ID, field name, invalid value, and error type
User Notification and Feedback
Given a validation error is logged When notification triggers Then the responsible user receives an in-app message and an email within five minutes containing actionable feedback on how to correct the data

Real-Time Pulse Monitor

Continuously tracks IoT-tagged parts’ usage metrics and lifecycle data, providing instant visibility into part health. Users can identify wear patterns early, avoid unexpected failures, and make informed maintenance decisions to maximize aircraft uptime.

Requirements

IoT Data Ingestion Pipeline
"As a maintenance manager, I want real-time ingestion of IoT sensor data so that I can monitor part health continuously and ensure timely interventions."
Description

Implement a secure, scalable ingestion pipeline that collects real-time usage metrics and lifecycle data from IoT-tagged parts via supported protocols (e.g., MQTT, HTTPS), normalizes incoming data, and stores it in a time-series database for analysis and visualization.

Acceptance Criteria
Secure MQTT Data Reception
Given a registered IoT device with valid credentials, when it publishes usage metrics via MQTT over TLS, then the ingestion pipeline accepts the message, verifies the TLS certificate, and acknowledges receipt within 200ms.
HTTPS Payload Ingestion
Given a valid HTTPS POST request from a supported IoT device, when the JSON payload conforms to the defined schema, then the pipeline returns HTTP 200, parses the payload, and forwards the normalized data downstream.
Data Normalization and Schema Validation
Given incoming data with required fields (device_id, timestamp, metric_type, value), when the pipeline processes the message, then it applies normalization rules, rejects entries missing or malformed fields with HTTP 400, and logs validation errors.
Time-Series Storage Accuracy
Given normalized data ready for storage, when it is written to the time-series database, then the timestamp is stored in UTC, the measurement key matches the metric_type, and a retention policy tag is applied, ensuring data can be queried with correct values.
High Throughput and Scalability
Given 10,000 messages per minute from IoT devices, when the ingestion pipeline is under sustained load, then it processes at least 95% of messages successfully within an SLA of 500ms per message and with zero data loss.
Health Threshold Alerting
"As an independent mechanic, I want to receive alerts when part wear exceeds safe limits so that I can schedule preventive maintenance before failures occur."
Description

Provide a configurable alerting system that allows users to define custom health thresholds for each part type, detects when metrics exceed these thresholds, and dispatches notifications via the dashboard, email, or SMS to designated stakeholders.

Acceptance Criteria
Configuring Health Threshold
Given the user is on the Threshold Configuration page and enters a valid health threshold for a specific part type, when they click Save, then the system persists the threshold in the database and displays it correctly in the thresholds list with part type, threshold value, and timestamp.
Triggering Alert on Threshold Breach
Given real-time usage metrics are received for a part, when the metric value exceeds the configured health threshold for that part type, then the system creates a new alert record with part ID, current metric value, threshold value, breach timestamp, and status 'Unacknowledged'.
Dashboard Alert Display
Given an alert record exists in the system, when a stakeholder navigates to the Alerts dashboard, then the alert is displayed in the alerts list with correct part details, metric values, threshold values, breach time, and current alert status.
Email Notification Delivery
Given an alert record is created and email notifications are enabled for a stakeholder, when the threshold breach occurs, then the system sends an email to the stakeholder’s address containing part ID, breached metric, threshold value, timestamp, and a link to the alert details.
SMS Notification Delivery
Given an alert record is created and SMS notifications are enabled for a stakeholder, when the threshold breach occurs, then the system sends an SMS to the stakeholder’s phone number with part ID, breached metric, threshold value, and breach timestamp.
Multi-Channel Stakeholder Alerting
Given multiple stakeholders are assigned to receive alerts for a part type, when a threshold breach occurs for that part type, then the system dispatches notifications to all designated stakeholders via their configured channels (dashboard, email, SMS) within five minutes of the breach.
Interactive Health Dashboard
"As a fleet manager, I want a visual dashboard of part health trends so that I can assess maintenance needs at a glance and prioritize resources effectively."
Description

Develop an interactive dashboard displaying live and historical part health metrics with graphical trends, color-coded status indicators, and drill-down capabilities to view individual part details, enabling quick assessment of wear patterns.

Acceptance Criteria
Real-Time Data Feed Rendering
Given the dashboard is open and IoT-tagged part data is available, when new usage metrics arrive, then the dashboard updates the live part health metrics within 5 seconds without a full page reload.
Historical Trend Visualization
Given a selected part and time range, when the user applies the filter, then the dashboard displays a line chart showing usage metrics over the specified period with accurate data points at consistent intervals.
Color-Coded Status Indicator Display
Given part health metrics cross predefined thresholds, when the dashboard renders the status indicator, then green indicates normal, yellow indicates warning, and red indicates critical, matching the threshold definitions in the configuration.
Drill-Down into Part Details
Given a user clicks on a part’s status card, when the detailed view loads, then it displays the part’s full lifecycle history, last maintenance date, and upcoming scheduled tasks, all within 3 seconds.
Responsive Dashboard Performance
Given the dashboard is accessed on devices with screen widths from 320px to 1920px, when the user interacts with graphs or filters, then all interactive elements adapt layout and remain fully functional across breakpoints.
Predictive Maintenance Analytics
"As a maintenance planner, I want predictive insights on part lifespan so that I can proactively replace components and minimize unscheduled downtime."
Description

Integrate a predictive analytics engine that leverages historical usage data and machine learning models to forecast part failure probabilities, recommend optimal maintenance windows, and display risk scores for each component.

Acceptance Criteria
Forecasting Component Failure Before Scheduled Inspection
Given a component with ≥6 months of usage data When the analytics engine processes the data Then it forecasts the component’s failure probability with ≥90% confidence at least 14 days before the predicted failure date
Optimal Maintenance Window Recommendation Prior to Peak Operation
Given a component’s usage profile and upcoming flight schedule When the analytics engine evaluates maintenance needs Then it recommends a maintenance window that minimizes operational downtime with an accuracy of ±1 hour
Risk Score Display in Dashboard for Critical Components
When a user views the component dashboard Then each component displays a real-time risk score (0–100) with color-coded risk levels (green ≤50, yellow 51–75, red >75) updated within 1 minute of data refresh
Machine Learning Model Accuracy Validation with Historical Data
Given historical component failure records as ground truth When model predictions are compared Then the predictive model achieves at least 85% precision and 85% recall on a validation dataset
Automated Alert Generation for High-Risk Components
Given a component’s risk score reaches ≥75 When the analytics engine detects this threshold Then an alert is sent to the maintenance team via email and dashboard notification within 5 minutes
Audit-Ready Reporting
"As a compliance officer, I want detailed reports on part health and maintenance interventions so that I can demonstrate adherence to aviation regulations during audits."
Description

Enable generation of comprehensive, audit-ready reports that combine real-time pulse data, alert history, and maintenance actions, with export options in PDF and CSV formats to satisfy regulatory compliance and internal audits.

Acceptance Criteria
Report Generation Initiation
Given a user selects an aircraft and a date range, when they click 'Generate Audit Report', then the system compiles real-time pulse data, alert history, and maintenance actions into a single report within 30 seconds.
PDF Export Validation
Given a generated audit report is displayed, when the user clicks 'Export as PDF', then a PDF file is downloaded that contains all report sections with correct formatting, headers, footers, and embedded charts.
CSV Export Validation
Given a generated audit report is displayed, when the user clicks 'Export as CSV', then a CSV file is downloaded containing all data rows for real-time pulse metrics, alert history, and maintenance actions, with columns correctly labeled.
Data Accuracy Verification
Given an audit report is generated, when comparing report contents against the source database for a sample aircraft and time window, then all numerical values and timestamps match 100%.
Report Download Performance
Given a user requests either PDF or CSV export for an audit report covering up to six months of data, when the export is initiated, then the file is fully generated and downloaded in under 45 seconds.
Email Distribution of Audit Reports
Given a user opts to email the generated audit report, when they enter a valid email address and click 'Send', then the system delivers the chosen PDF or CSV file as an email attachment within five minutes and logs the delivery status.

Predictive Reorder Forecast

Analyzes historical usage trends and lead times to forecast optimal reorder points. This feature ensures parts are ordered just in time, reducing stockouts and holding costs while maintaining critical spares availability.

Requirements

Historical Usage Data Ingestion
"As a maintenance manager, I want the system to automatically gather and process my parts usage history so that I can leverage accurate trend data without manual data entry."
Description

Import and normalize parts usage data from multiple sources including manual logs, invoices, and third-party inventory systems. The system must validate, cleanse, aggregate, and store usage history over configurable periods, ensuring data integrity through automated validation rules and providing dynamic querying capabilities for accurate trend analysis.

Acceptance Criteria
Import Manual Log Entries
Given a CSV file derived from technicians' manual log entries with required fields (date, part ID, quantity), When the file is uploaded to the system, Then each record is parsed, validated against format rules, cleansed of invalid characters, and stored in the usage history without data loss.
Process Invoice Data Upload
Given an invoice file in XML or PDF containing parts usage details, When the system ingests the file, Then it extracts part IDs and quantities, validates against known part catalog, flags any discrepancies for review, and normalizes units of measure before storage.
Sync Third-Party Inventory System
Given access credentials and API endpoints for a third-party inventory system, When a scheduled sync is triggered, Then the system retrieves new usage records, deduplicates against existing entries, applies validation rules, and updates the usage history database within the configured time window.
Validate Data Integrity
Given newly ingested data from any source, When automated validation rules run, Then the system detects missing fields, out-of-range values, or format violations, generates an error report summarizing issues, and prevents invalid records from being committed.
Aggregate Usage Data Over Configured Period
Given a user-defined time period (e.g., last 6 months), When the aggregation process executes, Then the system groups usage data by part ID, calculates total quantities, average daily usage, and stores the results in a queryable format for trend analysis.
Configurable Lead Time Management
"As a fleet manager, I want to configure supplier lead times and buffer days so that recommended reorder dates reflect real-world delivery schedules."
Description

Provide an interface for users to define, edit, and assign supplier lead times for each part. The system should support default, part-specific, and supplier-specific lead times, incorporate buffer days for expedited or standard shipping, and allow bulk updates via CSV import.

Acceptance Criteria
Default Lead Time Assignment
Given no part-specific or supplier-specific lead time is defined When a user views a part’s details Then the system displays and uses the default lead time in reorder forecast calculations
Part-Specific Lead Time Configuration
Given a user opens the settings for a specific part When the user enters and saves a custom lead time Then the system persists the new lead time and applies it to reorder forecasts for that part
Supplier-Specific Lead Time Management
Given a part is linked to multiple suppliers When a user assigns or edits a lead time for a specific supplier Then the system uses the supplier-specific lead time for reorder calculations when ordering from that supplier
Buffer Days Application
Given a base lead time (default, part-specific, or supplier-specific) is set When a user configures buffer days for expedited or standard shipping Then the system adds the buffer days to the base lead time in reorder forecasts
Bulk Update via CSV Import
Given a valid CSV file with part IDs and lead time values When a user uploads and confirms the file Then the system updates lead times for listed parts, logs errors for invalid entries, and provides a summary of all changes
Reorder Point Calculation Engine
"As an inventory planner, I want the system to calculate optimal reorder points automatically so that I avoid stockouts without overstocking."
Description

Develop an algorithm combining historical usage averages, usage variability, and supplier lead times to calculate optimal reorder points and safety stock levels. The engine must support adjustable confidence intervals, review periods, and automatically recalculate when underlying data changes.

Acceptance Criteria
Automated Reorder Point Calculation on Data Change
Given the system has existing historical usage and lead time data When a new usage entry or lead time update is added Then the algorithm recalculates the reorder point and safety stock within 60 seconds And the dashboard displays updated values with a timestamp of calculation
Adjustable Confidence Interval Configuration
Given a mechanic configures the confidence interval setting to a new value (e.g., 95%) When saving the configuration Then the algorithm applies the new interval to safety stock calculations And recalculates all reorder points accordingly
Historical Usage Variability Analysis
Given at least six months of usage data is available When running variability analysis Then the system calculates standard deviation of daily usage And uses this value in safety stock formula with 100% precision And logs variability results in the audit trail
Supplier Lead Time Integration
Given a supplier's lead time data is input or updated When the data is saved Then the reorder point reflects the updated lead time within the next calculation cycle And an alert is triggered if lead time exceeds a predefined threshold
Bulk Update and Recalculation Trigger
Given an admin selects multiple parts for data refresh When bulk update is confirmed Then the engine recalculates reorder points for all selected parts in a single batch within 5 minutes And generates a summary report indicating success or failure per part
Alert and Notification System
"As a mechanic, I want to receive timely alerts when a part nears its reorder point so that I can initiate procurement before inventory runs out."
Description

Implement real-time alerts that notify users via email, SMS, or in-app notifications when parts approach their calculated reorder points or fall below safety stock thresholds. Notifications should be configurable by user role, channel, urgency level, and include actionable links to initiate purchase orders.

Acceptance Criteria
Low Stock Alert for Critical Component
Given a part’s inventory level falls below its calculated safety stock threshold, When the predictive reorder forecast engine runs in real time, Then the system sends an alert via the user’s configured channel containing the part name, current quantity, reorder point, and an actionable link to create a purchase order.
Configurable Notification Preferences
Given a user with role-based notification settings, When the user updates their preferred channels and urgency levels in profile settings, Then the system honors these preferences for subsequent low-stock alerts, sending notifications only through selected channels at the configured urgency.
SMS Notification Delivery
Given a user with a valid phone number and SMS enabled, When an alert is triggered for expiring reorder point, Then the system delivers an SMS containing the part identifier, remaining quantity, and a URL to the purchase order creation page within 30 seconds of the trigger.
Urgent Alert Escalation
Given a part’s inventory level reaches a critical threshold defined as 50% below safety stock, When the first alert goes out without acknowledgment within one hour, Then the system escalates the notification to the next-level user role via email and SMS and logs the escalation event.
In-App Notification Purchase Workflow
Given a user is logged into the dashboard, When an in-app alert appears for a low-stock part, Then clicking the actionable link in the notification opens the purchase order form pre-populated with the part details and suggested supplier lead time analysis.
Forecast Visualization Dashboard
"As an operations manager, I want to view forecasted usage and reorder schedules in a dashboard so that I can make informed procurement decisions at a glance."
Description

Design a dashboard that visually displays forecasted part usage, upcoming reorder windows, historical trends, and current inventory levels through interactive charts and tables. Users must be able to filter by part category, date range, and supplier, and export reports to CSV or PDF.

Acceptance Criteria
Dashboard Load Performance Under Heavy Data
Given the dashboard contains data for over 10,000 part usage records and 1,000 inventory items, When a user navigates to the Forecast Visualization Dashboard, Then the dashboard must fully load within 3 seconds without errors.
Filter by Part Category Functionality
Given multiple part categories are present in the system, When the user selects one or more categories in the filter panel, Then the dashboard updates to display only the forecasted usage, historical trends, and inventory levels for the selected categories.
Date Range Filter Accuracy
Given historical usage and forecast data for the past year, When the user sets a custom start and end date for the dashboard, Then only data within the specified date range is visualized in charts and tables, and values outside the range are excluded.
Supplier-Based Report Export
Given a filtered view by supplier, When the user exports the current dashboard view to CSV or PDF, Then the exported file includes only data for the selected supplier, contains column headers matching the dashboard fields, and downloads within 5 seconds.
Interactive Chart Drill-Down
Given the dashboard’s forecast chart is displayed, When the user clicks on a specific data point representing a part, Then the system displays a detailed drill-down view showing weekly usage, reorder windows, and lead time metrics for that part.

Automated Purchase Requisitions

Automatically generates and submits purchase requisitions when parts reach defined thresholds. Integrated approval workflows streamline procurement, saving time and eliminating manual order creation errors.

Requirements

Stock Threshold Monitoring
"As a maintenance manager, I want the system to automatically monitor parts levels and detect when quantities fall below thresholds so that I never run out of critical components."
Description

The system must continuously monitor parts inventory levels and compare against predefined minimum and reorder threshold values. When the quantity of any part in the inventory database falls at or below its threshold, the system should flag the part and initiate the requisition workflow. This requirement ensures that the maintenance team maintains optimal stock levels, avoids operational delays due to out-of-stock parts, and reduces manual inventory checks.

Acceptance Criteria
Part Reaches Reorder Threshold
Given a part with quantity equal to its predefined reorder threshold When the system runs the inventory check Then the part is flagged for reorder and the requisition workflow is automatically initiated.
Part Above Reorder Threshold
Given a part with quantity above its reorder threshold When the inventory monitoring process completes Then the system does not flag the part and no requisition is generated.
Bulk Threshold Check for Multiple Parts
Given multiple parts in the inventory where some are at or below their thresholds When the threshold monitoring routine executes Then the system flags each qualifying part and generates individual purchase requisitions for each.
Real-time Inventory Update Post-Usage
Given a part consumed during a maintenance task and the inventory database is updated When the updated quantity falls below its threshold Then the system flags the part and initiates the requisition workflow within five minutes of the update.
Integration with Approval Workflow
Given a flagged part for reorder When the requisition is generated Then the purchase requisition is populated with correct part details, quantity, thresholds, and requester information and placed in the approval queue.
Automated Requisition Generation
"As a procurement officer, I want the system to auto-generate a requisition with all necessary details so that I can review and send it without manual data entry."
Description

Upon threshold breach detection, the system should automatically compile a purchase requisition including part details (part number, description, required quantity), current inventory levels, suggested reorder quantity based on safety stock and historical usage, and any associated job or maintenance order. The generated requisition must be formatted to match organizational procurement templates and saved in the requisition queue for review.

Acceptance Criteria
Threshold Breach Detection
Given a part’s inventory falls below its defined threshold when an update occurs, when the system detects the breach, then it automatically generates a purchase requisition record in the system.
Suggested Reorder Quantity Calculation
Given historical usage and safety stock settings for a part, when a requisition is generated, then the suggested reorder quantity equals the calculated optimal reorder amount based on those inputs.
Procurement Template Formatting
Given an organizational procurement template exists, when a requisition is created, then the requisition document matches the template’s structure, fields, and styling exactly.
Requisition Queue Persistence
Given a newly generated requisition, when the system completes its creation, then it is saved and visible in the requisition queue for review within 5 seconds.
Maintenance Order Association
Given a requisition is tied to an open maintenance order or job, when generating the requisition, then the associated order ID and description appear in the requisition record.
Configurable Approval Workflow Integration
"As a department head, I want requisitions routed to the correct approvers based on cost thresholds so that high-value purchases get proper oversight."
Description

Integrate configurable multi-level approval workflows that route generated requisitions to designated approvers based on factors such as total cost, department, or part category. The system must support sequential and parallel approvals, enforce custom approval rules, and send reminders for pending approvals. Approved requisitions proceed automatically to vendor ordering; rejected ones should return to the requisition queue with rejection reasons.

Acceptance Criteria
High-Value Requisition Cost-Based Routing
Given a requisition with total cost exceeding USD 10,000 when the requisition is submitted then it is routed to the Senior Management group for sequential approval and the requisition status is set to 'Pending Approval'.
Department-Specific Approval Sequence
Given a requisition for parts in the Avionics department when the requisition is generated then it triggers a sequential approval workflow first to the Avionics Supervisor and then to the Procurement Director with notifications sent upon each approval.
Parallel Approval for Critical Components
Given a requisition flagged as 'Critical Safety Component' when the requisition is submitted then it is sent in parallel to the Safety Officer and Quality Assurance team and proceeds to vendor ordering only after both approvals are received.
Automated Reminder for Pending Approvals
Given a requisition remains in 'Pending Approval' status for 48 hours when the 48-hour threshold is reached then the system sends automated email reminders to all pending approvers and logs the reminder event in the requisition history.
Rejection Returns to Requisition Queue
Given an approver rejects a requisition when a rejection reason is entered then the requisition status changes to 'Rejected', the item is returned to the creator’s requisition queue, and the creator receives a notification including the rejection reason.
Vendor Selection Automation
"As a purchasing agent, I want the system to choose the best vendor automatically so that I save time and get the best price."
Description

The system should automatically select the preferred vendor for each requisition based on configurable criteria such as lowest cost, lead time, vendor rating, or contractual agreements. When multiple vendors meet criteria, the system should rank them and select the top one. Users must have the ability to override vendor selection before final order placement.

Acceptance Criteria
Automatic Vendor Selection upon Threshold Breach
Given a part’s inventory falls below its defined reorder threshold and automatic purchase requisitions are enabled When the system generates the requisition Then it automatically selects the vendor with the lowest cost that meets all other configured criteria
Ranking and Selecting Top Vendor Among Multiple Qualifiers
Given multiple vendors meet the configured criteria (lowest cost, shortest lead time, vendor rating, contractual agreements) When the system evaluates these vendors Then it ranks them by the priority order of criteria and selects the top-ranked vendor
User Override of System-Selected Vendor
Given the system has auto-selected a vendor for a requisition When a user reviews the recommendation and chooses to override Then the system allows the user to select an alternative vendor and confirms the override before final order placement
Preferred Vendor Selection Based on Contractual Agreements
Given a vendor holds an active contractual agreement for a specific part with negotiated pricing When a requisition is generated for that part Then the system prioritizes and selects this contracted vendor over others regardless of cost or lead time
Lead Time Tie-Breaker for Equal Cost Vendors
Given two or more vendors offer the identical cost for a part When the system applies tie-breaker rules Then it selects the vendor with the shortest lead time
Notification and Alert System
"As a technician, I want to receive alerts when a requisition is created or approved so that I stay informed about part availability."
Description

Implement real-time notifications and alerts for key events in the requisition process, including threshold breach, requisition creation, approval requests, approvals/rejections, vendor order placement, and delivery confirmations. Notifications should be configurable by user and channel (email, SMS, in-app) and include essential details and action links.

Acceptance Criteria
Threshold Breach Notification Configuration
Given a part’s stock falls below its predefined threshold, when the system detects the breach, then a notification must be sent via all user-configured channels (email, SMS, in-app) within 60 seconds containing the part ID, current quantity, threshold value, and a direct link to the requisition creation page.
Requisition Creation Alert Delivery
Given an automated purchase requisition is generated, when the requisition is created, then a notification must be dispatched to the requesting user with the requisition ID, list of parts, total cost estimate, and an approval action link, delivered through all configured channels within 90 seconds.
Approval Request Notification Flow
Given a requisition enters the approval workflow, when approval is requested, then all designated approvers must receive a notification that includes requisition details, requester name, approval deadline, and approve/reject action links, delivered via each configured channel within 2 minutes.
Approval/Rejection Response Handling
Given an approver selects approve or reject, when the decision is submitted, then the system must send a confirmation notification to the original requester and all stakeholders, including the approver’s name, decision status, comments, and next steps, within 60 seconds of the response.
Delivery Confirmation Notification
Given a vendor marks an order as delivered, when the delivery event is recorded, then a notification must be sent to the requester and inventory manager with the order ID, delivery date, received quantities, and a link to acknowledge receipt, via all configured channels within 2 minutes.
Audit Logging and Compliance Reporting
"As an auditor, I want a detailed log of all requisition activities so that I can verify compliance."
Description

Maintain an immutable audit log of all actions related to purchase requisitions, including who created, reviewed, approved, modified, or rejected them, along with timestamps. Provide reporting tools to generate compliance reports for audits, showing requisition histories, approval chains, and order statuses. Ensure logs are secure, tamper-evident, and accessible by authorized users.

Acceptance Criteria
Creation Logging Scenario
Given a user creates a purchase requisition, When the requisition is saved, Then an immutable audit log entry is created capturing the action 'Created', the user's ID, and the precise timestamp.
Approval Logging Scenario
Given a user approves a purchase requisition, When the approval action is performed, Then an immutable audit log entry is created capturing the action 'Approved', the approver's ID, timestamp, and requisition ID.
Modification Logging Scenario
Given a user modifies an existing purchase requisition, When the changes are submitted, Then an immutable audit log entry is created capturing the action 'Modified', the user's ID, timestamp, and both old and new values for each changed field.
Compliance Report Generation Scenario
Given an authorized user requests a compliance report for a specific date range, When the request is submitted, Then the system generates a report listing all purchase requisitions with their creation, approval chains, modification history, and current statuses, and allows export in PDF and CSV formats.
Log Security and Tamper Evidence Scenario
Given an unauthorized attempt is made to alter an audit log entry, When the system detects the alteration, Then the system prevents the change, flags the entry as tampered, and alerts the security administrator.

Multi-Vendor Price Watch

Compares live pricing and availability from multiple approved suppliers. Users receive alerts when preferred parts hit target price points or stock levels, optimizing cost savings and ensuring fast replenishment.

Requirements

Real-Time Price Aggregation
"As a maintenance manager, I want to see up-to-the-second price comparisons from all approved suppliers so that I can make informed purchasing decisions without delay."
Description

Retrieve live price and availability data from multiple approved suppliers, normalize and aggregate it in real-time, and present the updated information in a unified view on the AeroTrack dashboard. This feature ensures users have instant visibility into current market prices, enabling accurate cost comparisons, saving time on manual data collection, and reducing the risk of acting on outdated information.

Acceptance Criteria
Fast Price Loading
Given the user navigates to the AeroTrack dashboard When the page loads Then the system fetches and displays live price and availability data from all approved suppliers within 2 seconds
Data Normalization Accuracy
Given suppliers return prices in different currencies and units When the system normalizes data Then all prices are converted to the user's default currency and unified unit format with ±0.01 precision
Auto-Refresh Price Updates
Given the user leaves the dashboard open When 5 minutes elapse Then the system automatically refreshes and updates price and availability data from all approved suppliers without manual intervention
Supplier Failure Resilience
Given one or more supplier APIs fail to respond When the system aggregates data Then it displays available supplier data, flags unavailable suppliers with an error indicator, and logs the errors for review
Unified Availability Display
Given real-time supplier data is received When data is aggregated Then the system accurately displays stock availability status (in stock/out of stock) for each part in the unified view
Supplier Integration API
"As a system administrator, I want a reliable connector for each supplier’s API so that data exchange is seamless and error-free."
Description

Provide standardized API connectors to integrate with each supplier’s system, handling authentication, rate limiting, error handling, and data mapping. This ensures reliable, scalable, and maintainable data exchange, reducing downtime and simplifying the process of onboarding new suppliers into the AeroTrack ecosystem.

Acceptance Criteria
Supplier API Authentication Setup
Given valid supplier API credentials When the connector attempts authentication Then the API returns a valid access token with HTTP 200 And the access token is securely stored for subsequent requests
Rate Limiting Enforcement
Given a burst of API requests exceeding supplier rate limits When the request rate approaches the defined threshold Then the connector automatically throttles outgoing requests And queues or delays additional requests to prevent HTTP 429 errors
Error Handling and Retry Mechanism
Given intermittent network or server errors from the supplier API When a request fails with a 5xx or transient network error Then the connector retries the request up to three times with exponential backoff And logs each failure and retry attempt for auditing
Data Mapping Accuracy
Given supplier API responses with part pricing and availability fields When data is ingested into AeroTrack Then all fields are correctly mapped to the internal data model And the mapped data matches supplier values with 100% accuracy
Onboarding New Supplier Endpoint
Given the addition of a new supplier to the system When the standardized API connector is configured for this supplier Then the connector successfully authenticates, fetches data, and transforms it according to mappings And no integration errors are logged during initial synchronization
Price Threshold Alerts
"As a mechanic, I want to be notified when a part’s price drops below my budget so that I can order at the best rate."
Description

Allow users to configure custom price thresholds for specific parts and trigger notifications when a supplier’s price falls below the target. Alerts are delivered via email, SMS, or in-app notifications, ensuring users can capitalize on cost savings opportunities in real time and make timely purchase decisions.

Acceptance Criteria
Configuring Custom Price Threshold
Given the user navigates to the Price Thresholds page When they enter a valid part number, target price, and select one or more notification channels Then clicking Save should persist the threshold and display a confirmation message
Triggering Alert When Price Falls Below Threshold
Given a supplier price update occurs When the updated price for a monitored part is below the configured threshold Then the system should generate an alert record for that part
Delivering Alerts via Preferred Channels
Given an alert has been generated When the alert’s notification channels include email, SMS, or in-app Then the user should receive the alert via each selected channel within five minutes with correct part details and pricing information
Modifying Existing Price Threshold
Given the user views an existing price threshold When they update the target price or notification channels and click Update Then the system should save the changes and new alerts should use the updated threshold values
Deleting Unused Price Threshold
Given the user identifies a price threshold they no longer need When they click Delete and confirm the action Then the system should remove the threshold and no further alerts should be generated for that part
Stock Availability Monitoring
"As a fleet manager, I want to know immediately when out-of-stock parts are available so that I can avoid downtime."
Description

Continuously monitor stock levels for user-specified parts across all approved suppliers. Generate alerts when stock levels rise above or fall below defined thresholds, allowing users to respond quickly to availability changes and ensure fast replenishment to minimize aircraft downtime.

Acceptance Criteria
Low Stock Alert Triggered
Given a user has defined a low-stock threshold for a specific part, When the combined stock level across all approved suppliers for that part falls below the threshold, Then the system must generate and deliver a low-stock alert to the user dashboard and configured notification channels within 60 seconds.
High Stock Alert Triggered
Given a user has defined a high-stock threshold for a specific part, When the combined stock level across all approved suppliers for that part rises above the threshold, Then the system must generate and deliver a high-stock alert to the user dashboard and configured notification channels within 60 seconds.
Threshold Update Propagation
Given a user updates the low or high-stock threshold for a part in their settings, When the user saves the new threshold, Then the system must apply the updated threshold to subsequent stock level monitoring within 5 minutes.
Supplier Outage Handling
Given one or more approved suppliers become temporarily unavailable or stop responding, When the stock monitoring job executes, Then the system must log the supplier outage event, exclude that supplier's data from availability calculations, and notify the user of the data gap in the dashboard.
Real-Time Dashboard Refresh
Given the stock levels for monitored parts change, When new stock data is received from suppliers, Then the dashboard must refresh the displayed availability for all monitored parts within 2 minutes, showing current stock levels and any active alerts.
Customizable Supplier Ranking
"As a maintenance planner, I want to rank suppliers by delivery speed so that I can choose parts suppliers that minimize downtime."
Description

Enable users to prioritize or rank suppliers based on criteria such as price, delivery time, reliability, or past performance. The ranking influences the sorting of price and availability results, helping users quickly identify their preferred sources and streamline decision-making.

Acceptance Criteria
Ranking Suppliers by Price Priority
Given the user sets the price criterion weight to the highest value, When viewing the supplier list in the price watch feature, Then suppliers are displayed in ascending order of price.
Ranking Suppliers by Delivery Time Priority
Given the user assigns the delivery time criterion weight above all others, When the price watch results are refreshed, Then suppliers are sorted by fastest estimated delivery time first.
Ranking Suppliers by Reliability Score
Given the user configures the reliability criterion with the highest priority, When generating the supplier availability report, Then suppliers with higher historical reliability scores appear at the top of the list.
Adjusting Composite Ranking Weights
Given the user adjusts multiple ranking weights (price, delivery time, reliability), When the user applies the new configuration, Then the supplier list is reordered according to the calculated composite score reflecting the new weights.
Persisting User-Defined Rankings Across Sessions
Given the user has saved a custom supplier ranking configuration, When the user logs out and logs back in, Then the previously saved ranking configuration is automatically loaded and applied to the supplier list.

Offline TagSync Scanner

Empowers technicians to scan IoT tags via a mobile app even without connectivity. Data syncs automatically once online, ensuring accurate lifecycle counts and reorder alerts regardless of location.

Requirements

Local Scan Data Storage
"As a field technician, I want the app to store scanned tag data locally when I’m offline so that I don't lose any scan records before syncing."
Description

Enable the mobile app to store scanned IoT tag data locally when offline, ensuring data persistence until connectivity is restored. This functionality prevents data loss during offline operation and integrates seamlessly with the device’s local database, allowing technicians to continue scanning without interruption. On reconnect, stored scans are retrieved for synchronization, maintaining accurate lifecycle counts and audit trails.

Acceptance Criteria
Remote Maintenance Scan Persistence
Given the technician is offline When a tag is scanned Then the scan data is stored in the local database and visible in the pending scans list
Local Database Capacity Handling
Given the local database reaches 90% capacity When additional scans occur Then the app displays a warning to the technician to sync or clear local data
Automatic Data Synchronization
Given the device regains connectivity When the app detects online status Then all locally stored scans sync to the server within one minute without data loss
Scan Data Integrity Verification
Given scans have been synchronized Then the server records exactly match the locally captured data fields including timestamps and tag IDs
Duplicate Scan Conflict Resolution
Given the same tag is scanned multiple times offline When syncing occurs Then the app identifies duplicates and either merges entries or prompts the technician to confirm valid scans
Automatic Sync on Connectivity
"As a field technician, I want my scans to sync automatically when I regain connectivity so that I don’t have to manage uploads manually."
Description

Implement an automatic synchronization process that detects network availability and uploads locally stored scan data to the central server without user intervention. The system should queue pending scans, retry failed uploads, and confirm successful synchronization, ensuring lifecycle counts and reorder alerts are updated promptly when connectivity returns.

Acceptance Criteria
Connectivity Restoration Trigger
Given the mobile device has pending scans stored locally When the device detects a stable network connection Then the system automatically initiates the upload of all pending scans within 30 seconds of connectivity restoration
Pending Scans Queue Management
The system stores offline scan data in a persistent queue preserving scan order and retains data after app restarts or device reboots
Retry Mechanism for Failed Uploads
Given a scan upload fails due to connectivity or server error When the system retries uploads at 1-minute intervals Then it retries up to 5 times and logs each attempt
Synchronization Confirmation
After successful upload of each scan the system marks the scan as synchronized removes it from the pending queue and notifies the user via in-app notification
Data Integrity Verification
After synchronization the server record for each scan matches the locally stored data fields with no duplicates or missing entries
Reorder Alerts Update
Following successful synchronization the system updates lifecycle counts and triggers any reorder alerts immediately according to configured thresholds
Offline Scan UI Feedback
"As a technician, I want to see clear indicators when I’m offline and how many scans are queued so that I know my work is being recorded."
Description

Provide visual feedback in the scanning interface to indicate offline mode status, the number of scans queued for upload, and any sync errors. Clear indicators and progress bars guide technicians, reducing confusion and improving confidence in the scanning process under varying network conditions.

Acceptance Criteria
Offline Mode Indicator Visibility
Given the technician opens the scan interface while the device is offline, When the screen loads, Then a prominent offline icon and label are displayed at the top of the interface
Queued Scan Count Update
Given the technician performs a scan in offline mode, When each scan is completed, Then the queued scan counter increments by one and the updated count is immediately visible
Automatic Sync Upon Reconnection
Given multiple scans are queued during offline mode, When network connectivity is restored, Then the app automatically initiates sync of all queued scans without user intervention
Sync Progress Feedback
Given the app is syncing queued scans after reconnection, When sync is in progress, Then a progress bar displays the percentage of scans synced and updates in real time until completion
Sync Error Notification
Given a queued scan fails to sync after reconnection, When the sync process encounters an error, Then an inline error indicator appears next to the failed item and a toast notification displays the error message
Conflict Resolution Handling
"As a technician, I want conflicts between my offline scan data and server records to be detected and resolved so that my inventory remains accurate."
Description

Develop a conflict resolution mechanism to handle discrepancies between locally scanned data and server-side records during synchronization. The feature should detect duplicate scans, resolve or flag inconsistencies, and present the technician with options to merge or override conflicting entries, maintaining data integrity across offline and online states.

Acceptance Criteria
Duplicate Scan Detection During Sync
Given a technician has scanned the same IoT tag multiple times offline When the app reconnects and initiates synchronization Then the system must identify duplicate tag entries and flag them as duplicates without creating redundant records
Conflict Prompt on Inconsistent Lifecycle Counts
Given the local scan count for a tag differs from the server-side lifecycle count When synchronization begins Then the system must present the technician with options to merge counts or override local or server values
User Merge of Conflicting Entries
Given the technician selects the merge option for conflicting tag entries When the merge action is confirmed Then the system must combine local and server data into a single consolidated record preserving the highest lifecycle count and log the merge action
User Override of Server Data
Given the technician selects the override option for a conflicting entry When the override action is confirmed Then the local scan data must replace the server-side record and be reflected accurately in subsequent queries
Automated Conflict Resolution Logging
Given any conflict has been automatically or manually resolved During or after synchronization Then the system must create an audit log entry detailing the tag ID, conflict type, resolution action, timestamp, and user ID
Performance and Battery Optimization
"As a technician working in the field, I want the offline scanner to have minimal impact on my device’s battery so that I can use it throughout my shift."
Description

Optimize the offline scanning and synchronization modules to minimize memory usage, CPU load, and battery consumption on mobile devices. The implementation should use efficient data storage techniques, batch processing for sync, and low-power scanning modes, ensuring uninterrupted operation during long field sessions.

Acceptance Criteria
Extended Offline Scanning Session
During a continuous 4-hour offline scanning session, average CPU usage stays below 25%, peak memory usage remains under 200 MB, and battery drain does not exceed 15%.
Sync Batch Processing Efficiency
Upon reconnection, synchronizing up to 500 offline records completes within 2 minutes, with no CPU spikes above 35% and total memory overhead for batching under 50 MB.
Low-Power Scan Mode Activation
When device battery level drops below 20%, the app automatically enters low-power scanning mode, reducing power consumption by at least 30% compared to normal mode while maintaining ≥99% scan accuracy.
Concurrent Application Usage
With three additional applications running in the background, the scanner’s memory usage remains below 150 MB and CPU load stays under 30% during active scanning.
High-Volume Tag Scanning Under Limited Memory
Scanning 1,000 tags within 5 minutes does not cause memory leaks or crashes, and peak memory usage does not exceed 200 MB.

Inventory Health Dashboard

Presents a consolidated view of all IoT-tagged parts, color-coded by health status and reorder urgency. Fleet managers and parts coordinators can quickly assess inventory risks and prioritize procurement actions.

Requirements

Real-Time Health Monitoring
"As a fleet manager, I want the dashboard to update parts health in real time so that I can quickly respond to emerging issues."
Description

The dashboard continuously ingests IoT sensor data from tagged parts and updates their health status in real time. By integrating directly with the aircraft’s IoT network and the central maintenance database, the system provides up-to-the-second visibility into component conditions. This functionality reduces manual data pulls, ensures maintenance teams are immediately aware of emerging issues, and minimizes downtime by enabling prompt corrective actions.

Acceptance Criteria
Live Sensor Data Integration
Given IoT sensor streams are available When the dashboard receives new sensor readings Then the health status for the corresponding part is updated within 5 seconds
Health Status Color-Coding Update
Given a component’s health changes to a new status When the dashboard refreshes Then the part’s row color reflects the new health status within 2 seconds
Reorder Urgency Notification
Given a part’s health score drops below 20% When the system evaluates inventory thresholds Then an urgency alert is flagged and a notification is sent to the parts coordinator within 1 minute
Data Latency Threshold Alert
Given IoT sensor data ingestion exceeds a 10-second delay When latency threshold is breached Then a latency alert log entry is created and an admin notification is sent
System Resilience During Network Disruptions
Given an IoT network disconnection occurs When live data feed is interrupted Then the dashboard displays the last known status with an 'offline' indicator and automatically resumes real-time updates within 30 seconds of reconnection
Color-Coded Status Indicators
"As a parts coordinator, I want parts to be color-coded by health status and reorder urgency so that I can visually prioritize procurement actions."
Description

Parts on the dashboard are displayed with color-coded badges corresponding to predefined health thresholds and reorder urgency levels. Green indicates healthy stock, yellow signals approaching maintenance or reorder thresholds, and red highlights critical shortages or failing components. This visual system integrates with the health analytics engine and threshold settings, enabling users to scan inventory status at a glance and prioritize actions without deep data analysis.

Acceptance Criteria
Healthy Stock Visualization
Given a part’s health level is above the green threshold and reorder level, when the dashboard loads, then the part must display a green badge indicating healthy stock.
Approaching Reorder Threshold Alert
Given a part’s health level falls between the yellow thresholds or its stock quantity approaches the reorder cutoff, when the dashboard loads or data updates, then the part must display a yellow badge indicating caution.
Critical Shortage Highlighting
Given a part’s health level is below the red threshold or stock quantity is at or below the reorder level, when the dashboard loads, then the part must display a red badge indicating critical shortage.
Threshold Settings Integration
Given a user updates health or reorder thresholds in the settings panel, when the thresholds are saved, then all existing and new parts on the dashboard must reflect the updated color-coding boundaries immediately.
Bulk Inventory Badge Rendering Performance
Given over 1,000 IoT-tagged parts are displayed, when the dashboard page renders, then all badges must load with correct color codes within 2 seconds.
Automated Reorder Recommendations
"As a fleet manager, I want the system to suggest parts for reorder based on health thresholds and lead times so that I can prevent stockouts."
Description

The system analyzes current inventory levels, part health trends, and supplier lead times to generate actionable reorder suggestions. Recommendations appear directly in the dashboard, showing suggested reorder quantity, preferred suppliers, and estimated delivery dates. This requirement leverages predictive analytics and integrates with procurement workflows to ensure timely replenishment and prevent stockouts.

Acceptance Criteria
Predictive Reorder Suggestion for Low-Stock Part
Given a part’s on-hand quantity falls below the defined reorder threshold When the system runs its predictive analytics Then it generates a reorder recommendation displaying the suggested quantity, preferred supplier, and estimated delivery date
Supplier Lead Time Adjustment Impacts Recommendations
Given a change in a supplier’s lead time by more than 2 business days When the system recalculates recommendations Then it updates the suggested reorder quantities and delivery estimates accordingly
User Overrides Automated Recommendation
Given the system has generated a recommendation When a user manually adjusts the suggested quantity or selects a different supplier Then the dashboard updates the recommendation card to reflect the user’s override and logs the change
Dashboard Display of Reorder Details
Given one or more recommendations exist When a user views the Inventory Health Dashboard Then each recommendation card clearly displays part name, reorder quantity, preferred supplier, estimated delivery date, and health status color coding
Integration with Procurement Workflow
Given a user approves a recommendation When the user clicks “Create Purchase Order” Then the system automatically sends the order details to the procurement system and confirms successful transmission in the dashboard
Trend Analysis Visualization
"As a fleet manager, I want to view historical health trends of parts so that I can predict failures and plan maintenance proactively."
Description

Historical health metrics for each IoT-tagged part are charted over selectable time periods, illustrating wear patterns, failure rates, and usage trends. Users can filter by part type, aircraft, or fleet segment and overlay maintenance events to identify correlations. This capability supports predictive maintenance planning by providing data-driven insights into component longevity and risk.

Acceptance Criteria
Viewing Historical Wear Patterns for a Single Part
Given a user selects an IoT-tagged part and a time range, when the trend analysis is generated, then the chart displays daily health metric readings with correct values, axes labels, legend, and unit indicators matching database records.
Filtering Trend by Part Type Across Fleet
Given multiple parts across the fleet, when the user applies a filter by part type and fleet segment, then the trend chart updates within 2 seconds to display only the filtered parts’ historical health metrics.
Overlaying Maintenance Events on Trend Chart
Given maintenance events exist for a selected part, when the overlay toggle is enabled, then the chart displays markers at event dates with tooltips showing event type, date, and description.
Comparing Multiple Parts on One Chart
Given a selection of up to five parts, when the user adds them to the comparison view, then the chart shows distinct colored lines for each part’s health metrics, includes a legend for identification, and clearly differentiates overlapping data points.
Exporting Trend Visualization Data and Chart
Given a generated trend analysis, when the user clicks export, then the system provides a downloadable PNG of the chart and a CSV file with timestamped health metric data and metadata including part ID and filter parameters.
Role-Based Dashboard Access
"As a system administrator, I want to control dashboard view permissions per user role so that each user sees relevant inventory data."
Description

The dashboard enforces granular access controls, allowing administrators to assign view and action permissions based on user roles. Fleet managers, parts coordinators, and maintenance technicians see tailored views and controls suited to their responsibilities. This integration with the platform’s authentication system ensures security, reduces information overload, and maintains data governance.

Acceptance Criteria
Admin Assigns Dashboard View Permission
Given an administrator assigns the "Fleet Manager" role view permission to the Inventory Health Dashboard, when a fleet manager logs in, then the full dashboard view is accessible without error.
Parts Coordinator Action Restrictions
Given a user with the "Parts Coordinator" role, when they attempt to modify maintenance task entries on the dashboard, then the system denies the action and displays an authorization error message.
Maintenance Technician Scoped View
Given a maintenance technician assigned to specific aircraft, when they access the Inventory Health Dashboard, then only IoT-tagged parts related to their assigned aircraft are displayed.
Unauthorized User Access Denied
Given a user without dashboard roles, when they navigate directly to the Inventory Health Dashboard URL, then they are redirected to an access denied page and receive an authorization notification.
Immediate Role Permission Update
Given an administrator updates role permissions for any user, when the changes are saved, then affected users experience the updated access rights upon their next login.
Exportable Inventory Reports
"As a fleet manager, I want to export inventory health data to CSV and PDF so that I can share reports with stakeholders."
Description

Users can export customized inventory health snapshots and trend analyses to CSV and PDF formats directly from the dashboard. Export options include selecting date ranges, specific parts, and chart configurations. This feature integrates with the reporting module to facilitate offline review, stakeholder communication, and audit readiness.

Acceptance Criteria
Exporting Inventory Snapshot as CSV
Given the user is viewing the Inventory Health Dashboard, When they select a valid date range, choose one or more parts, configure chart settings if desired, and click the 'Export to CSV' button, Then the system shall generate and download a CSV file named 'inventory_snapshot_<start>_to_<end>.csv' containing columns for part ID, part name, health status, quantity, and timestamp for each record, and the file size shall be less than 5MB for up to 10,000 records.
Exporting Filtered Parts List as PDF
Given the user has applied filters on part categories and health status, When they click 'Export to PDF', Then a PDF report shall be generated including a cover page with report title, selected date range, list of selected parts with their health indicators, and embedded charts reflecting the applied filters, and the PDF shall open in a new tab or download within 5 seconds.
Handling Large Data Set Export Performance
Given the user requests exporting inventory data with more than 20,000 records, When the export process begins, Then the system shall process the request asynchronously, display a progress indicator, send a notification email with a download link upon completion, and ensure the total processing time does not exceed 60 seconds.
Validating Export File Accuracy
Given an exported file (CSV or PDF) for a selected date range and parts, When the file is opened, Then the data rows and chart values must exactly match the data displayed on the dashboard for the same filters, and a checksum hash of the CSV data must match the system-generated hash returned to the user.
Error Handling During Export
Given the user initiates an export but the network connection fails mid-process, When the system detects the failure, Then an error message 'Export failed due to network issue. Please retry or save your configuration.' shall be displayed, and no partial files shall be downloadable.

ZoomLens

Enables users to dynamically zoom in and out of the audit timeline, adjusting the time scale from overview to minute-by-minute detail. This feature helps auditors and managers pinpoint precise events or trends, improving clarity and speeding up investigations.

Requirements

Zoom Slider Control
"As an auditor, I want to drag a slider control to zoom in or out on the audit timeline so that I can quickly switch between overview and detailed views to locate specific events."
Description

Implement a responsive slider UI element integrated into the audit timeline header, allowing users to dynamically adjust the time scale from a broad overview (weeks/months) down to minute-by-minute detail. As users drag the handle, the timeline view updates in real time, triggering optimized data queries and caching adjacent timeframes to minimize load times. This control enhances clarity by providing immediate access to different levels of temporal granularity, enabling auditors and managers to pinpoint events accurately and speed up investigations.

Acceptance Criteria
Minute-Level Zoom Precision
Given the user moves the zoom slider to the finest setting (minute-level), When the slider handle is released, Then the audit timeline displays events at one-minute granularity and data loads in under 300ms.
Month-Level Overview
Given the user moves the zoom slider to the broadest setting (month-level), When the slider handle is released, Then the timeline aggregates events per day and renders within 500ms.
Real-Time Timeline Update During Drag
Given the user is dragging the zoom slider handle, When the handle position changes, Then the audit timeline updates dynamically with a maximum 100ms latency between drag input and view update.
Boundary Constraints at Granularity Limits
Given the user drags the slider handle to its minimum or maximum position, When the user reaches the endpoint, Then the handle stops at the defined granularity limit and the timeline view remains stable.
Adjacent Timeframe Data Caching
Given the user adjusts the zoom level, When the timeline view is rendered, Then data for adjacent timeframes is prefetched so that subsequent zoom or pan actions complete within 200ms.
Keyboard and Mouse Wheel Zooming
"As a power user, I want to use keyboard shortcuts and mouse wheel scroll to zoom the timeline so that I can adjust the view without moving my hands away from the keyboard."
Description

Enable keyboard shortcuts (e.g., '+' and '–') and mouse wheel scroll interactions when the timeline is focused to control zoom levels. The feature should listen for wheel events and keypresses, adjusting the time scale smoothly without requiring cursor movement to a separate control. It must integrate with existing event handlers, support accessibility standards, and provide visual feedback on zoom level changes. This functionality improves efficiency for power users and accelerates timeline navigation.

Acceptance Criteria
Zooming Timeline Using Mouse Wheel
Given the audit timeline is focused When the user scrolls the mouse wheel up Then the timeline zooms in by one predefined level; Given the audit timeline is focused When the user scrolls the mouse wheel down Then the timeline zooms out by one predefined level; Zoom adjustments occur within 200ms; Zoom levels are clamped between min 25% and max 400%.
Zooming Timeline Using '+' and '–' Keyboard Shortcuts
Given the audit timeline is focused When the user presses '+' or '=' Then the timeline zooms in by one predefined level; Given the audit timeline is focused When the user presses '-' Then the timeline zooms out by one predefined level; Continuous zoom triggers when the key is held for more than 500ms; Zoom levels are clamped between min 25% and max 400%.
Visual Feedback on Zoom Level Change
Given the user performs a zoom action Then a zoom indicator overlay displays the new zoom percentage; The indicator appears within 100ms and remains visible for 2 seconds; The indicator fades out smoothly over 300ms without blocking timeline interactions.
Accessibility Compliance for Zoom Controls
Given a screen reader is active and timeline focused When the user zooms Then the screen reader announces "Timeline zoomed to X percent"; Keyboard shortcuts for zoom are defined in ARIA labels; All zoom controls are reachable and operable via keyboard only.
Smooth Integration with Existing Event Handlers
Given existing timeline navigation handlers are registered When a zoom-related wheel or key event occurs Then the new zoom handlers execute without disrupting existing handlers; Event propagation is managed correctly (preventDefault or stopPropagation as needed); No JavaScript errors appear in the console during zoom operations.
Zoom Level Boundaries
"As a fleet manager, I want the timeline zoom to stop at logical minimum and maximum levels so that I avoid seeing too much or too little information and maintain system performance."
Description

Define and enforce sensible minimum and maximum zoom thresholds to maintain performance and context. At the maximum zoom, the timeline displays minute-by-minute entries; at the minimum zoom, it presents a comprehensive overview (e.g., one-year span) without overwhelming data points. These limits should be configurable by administrators to suit different audit scopes. The system should disable further zooming beyond these thresholds and visually indicate when limits are reached.

Acceptance Criteria
Maximum Zoom Limit Reached
Given the user continuously zooms in on the audit timeline When the zoom level reaches the configured maximum threshold Then any further zoom-in interactions are disabled and the zoom-in control is visually grayed out And a tooltip appears stating "Maximum zoom level reached"
Minimum Zoom Limit Reached
Given the user continuously zooms out on the audit timeline When the zoom level reaches the configured minimum threshold Then any further zoom-out interactions are disabled and the zoom-out control is visually grayed out And a tooltip appears stating "Minimum zoom level reached"
Administrator Configures Zoom Boundaries
Given an administrator accesses the zoom settings panel When they enter new minimum and maximum zoom threshold values and save Then the system validates the input ranges are within acceptable limits And updates the zoom boundaries so that subsequent zoom actions honor the new settings
Visual Indication of Zoom Limits
Given the user is at either zoom threshold When the user’s pointer hovers over the disabled zoom control Then a tooltip clearly describes why the control is disabled and indicates the current zoom threshold value
Continuous Zoom Within Boundaries
Given the user performs repeated zoom in or zoom out actions within the configured range When each zoom action is executed Then the timeline redraws at the new scale within two seconds And displays data points appropriate to the zoom level (minute-by-minute at max, yearly overview at min)
Smooth Zoom Transitions
"As an auditor, I want zoom transitions to be smoothly animated so that I can maintain context and not get disoriented when switching scales."
Description

Implement smooth, animated transitions between zoom levels to provide visual continuity and prevent disorientation. Transitions should interpolate the time scale and gradually render data points using CSS transitions or canvas interpolation techniques. Respect user’s reduced motion preferences to ensure accessibility compliance. This requirement enhances the user experience by making zoom operations feel fluid and reducing cognitive load when navigating large datasets.

Acceptance Criteria
Day Overview to Hour Detail Smooth Transition
Given a user adjusts the zoom control from a 24-hour overview to an hourly detail view, when the zoom action is triggered, then the time scale interpolates smoothly over 500ms at 60fps without dropped frames and without sudden jumps in displayed data.
Quick Zoom-In Rapid Sequence
Given a user clicks the zoom-in control twice within 200ms, when the second zoom is initiated before the first animation completes, then the system merges both requests and animates to the final zoom level within a maximum of 700ms without visual stutter.
Reverse Zoom-Out Fluid Animation
Given a user drags the zoom slider from minute-level detail back to a month-long overview, when the slider movement ends, then the transition reverses fluidly over 600ms, interpolating the time scale continuously and avoiding any abrupt scale changes.
Gradual Data Point Rendering on Zoom
Given a new zoom level is reached, when the time scale changes, then all newly in-range data points fade in sequentially within 250ms, and out-of-range points fade out, ensuring no data point appears or disappears instantaneously.
Reduced Motion Preference Compliance
Given the user has enabled reduced motion in their system settings, when any zoom transition is performed, then animation durations are zero and only a simple cross-fade over 100ms is applied, in compliance with accessibility guidelines.
Reset to Default View
"As a mechanic, I want a reset button that quickly returns the timeline to the default view so that I can easily start a new inspection without manually adjusting the zoom back."
Description

Provide a one-click reset button that instantly returns the timeline to its default zoom level (e.g., a one-month overview). Position the button near existing zoom controls and include a tooltip explaining its function. The reset action should clear any slider or keyboard adjustments and restore the baseline view. This feature helps users quickly return to a familiar reference point, streamlining workflow during prolonged audits.

Acceptance Criteria
Reset Button Visibility
Given the user accesses the audit timeline, when the page loads, then the Reset to Default View button is visible adjacent to the zoom controls.
Reset After Slider Adjustment
Given the user has adjusted the timeline using the zoom slider to a custom range, when the user clicks the Reset to Default View button, then the timeline returns to the default one-month overview.
Reset After Keyboard Zoom
Given the user has zoomed in or out using keyboard shortcuts, when the user clicks the Reset to Default View button, then all zoom levels reset to the default one-month overview.
Tooltip Explanation
Given the user hovers over the Reset to Default View button, when the hover duration exceeds 500ms, then a tooltip appears explaining “Reset timeline to default one-month overview.”
Clears All Adjustments
Given the user has performed multiple zoom, pan, or slider adjustments, when the user clicks the Reset to Default View button, then all adjustments clear and the baseline one-month overview is restored.
No Full Page Reload
Given the user clicks the Reset to Default View button, when the action completes, then the timeline resets without a full page reload and finishes within two seconds.

DetailDeck

Displays interactive event cards when users click on timeline entries. Each card reveals attachments, approval notes, compliance checkpoints, and responsible personnel, offering a comprehensive view of individual maintenance actions for in-depth analysis.

Requirements

Timeline Entry Click Handler
"As a mechanic, I want to click on a timeline entry and see all details of that maintenance event in a card so that I can quickly review relevant information without navigating away."
Description

Implement click handling on timeline entries that triggers the display of the DetailDeck card, capturing the selected entry context and loading relevant event details (attachments, notes, compliance checkpoints, and personnel) dynamically into the card. This enhances user navigation by providing immediate, context-rich access to maintenance event data, reducing lookup time and streamlining workflow.

Acceptance Criteria
Successful Timeline Entry Click Displays DetailDeck
Given a timeline entry with complete event data When the user clicks the entry Then the DetailDeck card appears within 500ms displaying the correct attachments, approval notes, compliance checkpoints, and responsible personnel
Loading Indicator Shown During Data Fetch
Given a user clicks a timeline entry and data loading exceeds 300ms When the request is in progress Then a visible loading spinner is shown on the DetailDeck card until all event details are fully loaded
Graceful Handling of Missing Event Details
Given a timeline entry with incomplete or missing attachments or notes When the user clicks the entry Then placeholders or ‘No data available’ messages are displayed in place of missing details and no errors are thrown
Error Notification on Data Load Failure
Given a network or server error occurs during event detail fetch When the user clicks the timeline entry Then an error message is displayed on the DetailDeck card with a ‘Retry’ button and the card does not remain in a loading state
Closing and Reopening DetailDeck Card
Given the DetailDeck card is open When the user clicks the close icon Then the card is dismissed and focus returns to the original timeline entry When the user clicks the same entry again Then the DetailDeck card reopens with fresh event data
Event Card UI Layout
"As a fleet manager, I want the event card to be organized into clear sections so that I can quickly find attachments, notes, compliance info, and personnel without confusion."
Description

Design and develop a responsive, interactive card interface that displays attachments, approval notes, compliance checkpoints, and responsible personnel in sections, with expandable panels and clear visual hierarchy. This ensures a consistent and intuitive presentation of maintenance event details across devices, improving readability and user engagement.

Acceptance Criteria
Responsive Layout Behavior
When viewed on mobile (≤480px), tablet (481–1024px), and desktop (>1024px), the event card layout adjusts dynamically: panels stack vertically on mobile, display in two columns on tablet, and side-by-side on desktop with no horizontal scrollbar; all text remains legible and images scale proportionally.
View Attachments Panel
Given the user clicks the attachments header, the attachments panel expands within 300ms displaying all associated files with thumbnails; clicking a file opens it in a modal without page reload; additions to attachments appear in real time.
Access Approval Notes
When the user expands the approval notes section, notes are displayed in descending date order showing author, timestamp, and content; searching within notes filters results dynamically; closing the panel collapses it smoothly.
Check Compliance Checkpoints
Upon expanding the compliance checkpoints section, all checkpoints appear with pass/fail icons; hovering over a failed checkpoint shows a tooltip with error details; re-inspections update the list without a full page reload.
Identify Responsible Personnel
When the user opens the personnel section, the card lists each responsible person’s name, role, and contact; clicking an email icon launches the default mail client; clicking a phone icon initiates a call on supported devices; a loading indicator displays until data is retrieved.
Attachment Preview and Download
"As a compliance officer, I want to preview and download event attachments directly from the card so that I can verify documentation without leaving the interface."
Description

Provide inline previews for common attachment types (PDFs, images, videos) within the event card, and support full-resolution downloads. Implement file type detection, thumbnail generation, and secure access controls to ensure attachments are displayed quickly and safely, reducing clicks to access critical documentation.

Acceptance Criteria
Preview PDF Attachment within Event Card
Given an event card with a PDF attachment, When the user expands the attachment section, Then an inline PDF viewer loads the document within 2 seconds for files up to 5MB and supports scrolling and zooming; And the Download button is visible and downloads the original PDF with correct filename and MIME type.
Image Attachment Thumbnail and Full-Resolution Preview
Given an image attachment in the event card, When the card loads, Then a 200x200px thumbnail is displayed within 100ms; When the user clicks the thumbnail, Then a modal opens showing the full-resolution image; And the Download button downloads the original image file.
Video Attachment Streaming Preview
Given a video attachment, When the event card is viewed, Then a poster thumbnail is displayed; When the user clicks play, Then the video streams inline starting muted, previewing the first 10 seconds within 3 seconds; And the Download button downloads the full-resolution video.
Secure Access Control for Attachments
Given user roles and permissions, When an authorized user views the event card, Then they can preview and download attachments; When an unauthorized user attempts access, Then they receive an Access Denied message and cannot view or download files.
Unsupported File Type Handling
Given an attachment of an unsupported file type, When the event card is loaded, Then a generic file icon and file name are shown; And the interface provides only a Download button; No preview option is displayed.
Thumbnail Generation and Caching for Attachments
Given any attachment uploaded to the system, When the upload completes, Then a thumbnail (200x200px) is generated within 1 minute and stored; When the same attachment is viewed subsequently, Then the stored thumbnail is loaded without regeneration.
Approval Notes Integration
"As a mechanic, I want to view and search through approval notes within the event card so that I can understand the decision history and context for each action."
Description

Integrate approval notes into the event card, displaying the latest comments with timestamps, author information, and status badges. Include a search and filter function to locate specific notes and paginate historical approvals. This feature enhances traceability and collaboration by surfacing audit trails within the card.

Acceptance Criteria
Latest Approval Note Display
Given an event card is opened with existing approval notes When the card loads Then the most recent approval note is displayed at the top showing the comment text, timestamp, author name, and status badge
Approval Notes Search
Given multiple approval notes exist When a user enters a search keyword and initiates the search Then only notes containing the keyword in the comment text or author fields are displayed
Approval Notes Filter by Status
Given approval notes have various status badges When a user selects a specific status filter Then only notes matching the selected status badge are shown
Approval Notes Pagination
Given more than 10 approval notes exist When a user navigates to the next page of notes Then the next set of up to 10 notes is displayed and pagination controls update accordingly
Audit Trail Chronology View
Given a sequence of historical approval notes When a user views the audit trail Then notes are presented in chronological order with search, filter, and pagination functionality available
Compliance Checkpoint Indicators
"As a fleet manager, I want to see compliance checkpoints highlighted in the event card so that I can quickly identify which tasks need follow-up to maintain regulatory compliance."
Description

Display compliance checkpoints within the event card as interactive status indicators, showing pass/fail states, required actions, and due dates. Implement hover details and color-coded badges to highlight compliance status at a glance, aiding in audit readiness and proactive maintenance planning.

Acceptance Criteria
Initial Display of Compliance Checkpoint Indicators
Given an event card with multiple compliance checkpoints When the event card is opened Then status indicators for pass, fail, and pending appear next to each checkpoint label
Interactive Hover Details Reveal
Given a status indicator When the user hovers over it Then a tooltip shows the checkpoint name, status description, responsible personnel, and timestamp
Color-Coded Badge Accuracy
When compliance statuses are displayed Then pass statuses use green badges, fail statuses use red badges, and pending statuses use yellow badges consistent with the checkpoint context
Actionable Required Actions Prompt
Given a checkpoint marked as failed or pending with required actions When clicked Then a modal lists all required actions with links to documentation and options to assign responsibility
Due Date Highlighting for Upcoming Deadlines
Given checkpoints with due dates Then those due within 7 days display an orange border, those overdue display a red border, and hovering over the badge shows the exact due date and days remaining
Performance and Caching Optimization
"As a mechanic, I want the event card to load instantly when I click a timeline entry so that my workflow remains uninterrupted and efficient."
Description

Implement data caching, lazy loading, and asynchronous requests for event card content to ensure the card loads in under 300ms on typical network conditions. Optimize front-end rendering and back-end API endpoints for scalability, reducing perceived latency and improving user experience during high-frequency timeline interactions.

Acceptance Criteria
Initial card load under typical network conditions
Given a user clicks on any timeline entry over a standard Wi-Fi connection, when the event card is requested, then all content (attachments, notes, compliance checkpoints, personnel) is fully rendered within 300ms of the click.
Cached data retrieval for revisited cards
Given a user reopens an event card previously loaded in the same session, when the card is requested again, then the data is served from cache and the card is rendered within 50ms without any network request.
Debounced loading on rapid timeline interactions
Given a user clicks on five different timeline entries within two seconds, when each card is requested, then the system debounces API calls and ensures each card still loads in under 300ms without UI freezing or server errors.
Lazy loading of large attachments with placeholders
Given an event card contains attachments larger than 5MB, when the card is opened, then metadata and UI elements display within 300ms and placeholders appear for attachments, which load asynchronously without blocking the rest of the card.
Progressive loading on slow network connections
Given a user accesses an event card over a 3G network, when the card is requested, then core metadata and UI elements are displayed within 500ms, attachments load progressively with visible progress indicators, and the card remains fully interactive.

FilterFlow

Provides customizable filters and search options to narrow timeline displays by date range, event type, user, or compliance status. This targeted view reduces information overload and allows stakeholders to focus on the most relevant audit details.

Requirements

Date Range Filter
"As a maintenance manager, I want to filter the timeline by a custom date range so that I can review events within a specific period for audit compliance."
Description

Enable users to specify start and end dates to narrow the timeline display to a specific period, improving focus and reducing data overload. This feature will integrate with the main dashboard’s timeline component, allowing mechanics and managers to quickly isolate events between selected dates, enhancing audit preparation and trend analysis.

Acceptance Criteria
Valid Date Range Selection
Given the user selects a start date and an end date where the start date is on or before the end date, when the user applies the filter, then the timeline displays only events whose dates fall between the selected start and end dates inclusive.
Invalid Date Range Rejection
Given the user selects an end date that is earlier than the start date, when the user attempts to apply the filter, then the system prevents the filter, highlights the date fields in error, and displays a clear validation message.
Date Range with No Events
Given the user selects a date range for which there are no events in the timeline, when the filter is applied, then the timeline displays a "No events found" message in the event listing area.
Default Date Range Reset
Given the user has applied a date range filter, when the user clears both date fields and re-applies the filter, then the timeline resets to show all events without any date restriction.
Large Date Range Performance
Given the user selects a date range spanning over one year of historical events, when the user applies the filter, then the filtered timeline results load and render within 2 seconds.
Event Type Selector
"As a mechanic, I want to filter timeline events by type so that I can quickly view only repair or inspection histories without unrelated entries."
Description

Allow stakeholders to filter timeline entries by event type (e.g., inspections, repairs, parts replacement) through a set of selectable checkboxes or dropdown menu. This functionality will seamlessly integrate with FilterFlow controls, enabling users to focus on relevant event categories and streamline their maintenance oversight.

Acceptance Criteria
Single Event Type Selection
Given the timeline displays entries for multiple event types, When a user selects the 'Inspections' checkbox in the Event Type Selector, Then the timeline updates in real-time to display only entries categorized as 'Inspections' without requiring a full page reload.
Multiple Event Types Selection
Given the timeline contains entries of various types, When a user selects both 'Inspections' and 'Repairs' checkboxes, Then the timeline filters to display entries where the event type is either 'Inspections' OR 'Repairs', and hides all other event types.
Deselect All Event Types
Given one or more event type checkboxes are selected, When the user deselects all checkboxes, Then the timeline resets to show entries for all event types by default.
Dropdown Menu Selection
Given the Event Type Selector is rendered as a dropdown on mobile view, When a user selects 'Parts Replacement' from the dropdown list, Then the timeline filters to display only 'Parts Replacement' entries and the dropdown displays 'Parts Replacement' as the active filter.
Persistence of Selection on Page Refresh
Given a user has one or more event types selected in the Event Type Selector, When the user refreshes the browser or navigates away and returns to the timeline page, Then the previously selected event types remain selected and the timeline remains filtered accordingly.
User Filter
"As a fleet manager, I want to filter timeline entries by user so that I can assess each technician’s work history and performance."
Description

Implement a filter option that lets users narrow timeline data by the staff member or user who logged the event. This will link with the user authentication module to present only valid user names and roles, helping team leads audit individual contributions and verify accountability.

Acceptance Criteria
Filter by Individual User
Given the user is viewing the timeline When they select a specific username from the User filter dropdown Then the timeline displays only events logged by that user And no events from other users are shown
Filter by Multiple User Roles
Given the user has opened the filter options When they select one or more roles (e.g., Mechanic, Inspector) from the Role filter Then the timeline displays events logged by users with those roles And excludes events from other roles
Filter Reset Functionality
Given a filter is applied When the user clicks the "Clear Filters" button Then all user and role filters are reset to default And the full timeline is displayed
Valid User List Population
Given the filter dropdown is expanded When the filter is loaded Then it displays only usernames and roles from the authentication module And does not include any invalid or inactive users
No Results Handling
Given the filters applied yield no matching events When the timeline reloads Then a message "No events match your filter criteria" is displayed And the timeline area remains visible with no events
Compliance Status Filter
"As an audit officer, I want to filter events by compliance status so that I can prioritize overdue tasks and ensure regulatory standards are met."
Description

Provide a filter that categorizes timeline entries based on compliance status (e.g., compliant, overdue, pending review), integrating with the compliance engine to reflect real-time statuses. This will allow audit officers to quickly identify noncompliant tasks and address them proactively.

Acceptance Criteria
Filtering by Compliant Entries
Given the timeline is displayed When the user selects the "Compliant" status filter Then only entries with compliance status labeled 'Compliant' appear in the timeline
Filtering Overdue Tasks
Given the timeline is displayed When the user selects the "Overdue" status filter Then only entries with compliance status labeled 'Overdue' appear and the list refreshes within 2 seconds
Filtering Pending Review Entries
Given the timeline is displayed When the user selects the "Pending Review" status filter Then only entries with compliance status labeled 'Pending Review' appear and are visually highlighted
Combining Multiple Status Filters
Given the timeline is displayed When the user selects both "Overdue" and "Pending Review" status filters Then entries matching either status are displayed without duplicates
Real-Time Compliance Status Update
Given a compliance status change occurs in the backend When the audit officer has an active timeline view Then the affected entry updates its status and position within 5 seconds and reflects the applied filters
Saved Filter Presets
"As a maintenance coordinator, I want to save my frequently used filter settings as presets so that I can apply them instantly without rebuilding the filters each time."
Description

Enable users to save custom filter configurations as presets for quick application, allowing repeated use of complex filter combinations without manual reconfiguration. This feature will be accessible within FilterFlow’s interface and stored per user to enhance efficiency and personalization.

Acceptance Criteria
Saving a New Filter Preset
Given a user is on the FilterFlow interface with custom filter settings selected When the user clicks 'Save Preset', enters a unique preset name, and confirms Then the preset is stored under their account and appears in the 'Saved Presets' list
Retrieving and Applying a Saved Preset
Given a user has one or more saved presets When the user selects a preset from the 'Saved Presets' dropdown and clicks 'Apply' Then the timeline updates to exactly match the saved filter configuration
Updating an Existing Filter Preset
Given a user has an existing saved preset When the user modifies filter settings, selects that preset, and clicks 'Update Preset' Then the original preset is overwritten with the new settings and a success message is displayed
Deleting a Saved Filter Preset
Given a user has a saved preset When the user chooses 'Delete' for that preset and confirms the action Then the preset is removed from the 'Saved Presets' list and cannot be applied
Preset Persistence Across Sessions
Given a user saved presets in a previous session When the user logs back into AeroTrack from any device Then all previously saved filter presets are available and functional within FilterFlow
Live Keyword Search
"As a mechanic, I want to search the timeline by keyword so that I can immediately find specific maintenance notes or part numbers."
Description

Incorporate a dynamic search bar that filters timeline entries in real-time based on keywords found in event descriptions, notes, or tags. This will work alongside existing filters, enabling users to pinpoint specific entries by text search and quickly locate relevant maintenance records.

Acceptance Criteria
Live Real-Time Filtering of Timeline Entries as User Types
Given the user is on the timeline view with the live keyword search bar visible, When the user types any character into the search bar, Then the timeline should instantly update to display only entries whose event descriptions, notes, or tags contain the entered text, without requiring the user to press Enter or click a search button.
Interaction Between Keyword Search and Pre-Applied Filters
Given the user has applied at least one filter (e.g., date range, event type), When the user enters a keyword in the live search bar, Then the timeline should display only entries that satisfy both the existing filters and the keyword search criteria.
Case-Insensitive Keyword Matching in Live Search
Given the user enters a keyword in any mix of uppercase or lowercase letters, When the live search executes, Then the system should match entries regardless of case and return entries with matching text in any case combination.
Partial Keyword and Substring Matching Capability
Given the user types a partial keyword (e.g., 'insp'), When the live search processes the input, Then the timeline should include entries with full words containing that substring such as 'inspection'.
User Feedback When No Matching Entries Are Found
Given the user enters a keyword that yields no matching timeline entries, When the live search completes filtering, Then the system should display a user-friendly message such as 'No entries found matching "keyword"' and offer suggestions like clearing the search or adjusting filters.

QuickSnapshot

Allows users to export selected sections of the audit timeline as visually rich reports in PDF or CSV formats. These snapshots include event summaries, time stamps, and compliance annotations, streamlining report generation for audits or management reviews.

Requirements

Section Selection Interface
"As a maintenance manager, I want to select only relevant sections of the audit timeline so that I can generate concise reports tailored to my review needs."
Description

Enable users to select specific sections of the audit timeline via an interactive UI component. This interface should allow filtering by date range, event type, aircraft ID, or compliance status and visually preview selected events before exporting. It integrates with the main dashboard to ensure seamless retrieval of audit log data and provides real-time feedback on selection count and estimated report size. This functionality gives users granular control over report content, reduces extraneous data exports, and accelerates report preparation.

Acceptance Criteria
Date Range Filter Selection
Given valid start and end dates, the timeline displays only events within that range; When the end date precedes the start date, an error message is shown and export is disabled; The specified date range persists when navigating away and returning to the export panel.
Event Type and Aircraft ID Filtering
Given one or more event types and aircraft IDs selected, the timeline instantly updates to show only matching events; The filter UI allows multiple selections without page reload; The displayed event count matches the number of events on the timeline.
Compliance Status Filtering
When compliance statuses are toggled, the timeline immediately reflects only events matching the selected statuses; Non-compliant events are visually highlighted in the preview; Toggling all statuses off disables the export button.
Preview Selected Events
Given filter selections applied, the preview panel lists each selected event with summary, timestamp, and compliance annotation; Users can deselect events directly in the preview, updating the selection count and export list; Events removed in the preview are excluded from the final export.
Real-Time Selection Count and Estimated Report Size
The UI displays the current number of selected events; Estimated report size (PDF/CSV) updates in real time as selections change; When estimated size exceeds 10 MB, a warning is shown and user must reduce selections; The export button is disabled if no events are selected.
PDF Export Generation
"As an auditor, I want to export selected audit events as a PDF so that I can distribute professional, print-ready reports for compliance reviews."
Description

Implement the capability to generate visually rich PDF reports from selected audit timeline sections. The PDF export must include structured event summaries, timestamps, compliance annotations, and customizable headers and footers featuring company branding. It should support high-resolution images for event snapshots, a table of contents, and must be optimized for both print and digital distribution. Server-side rendering ensures consistent formatting across platforms and preserves audit-grade fidelity.

Acceptance Criteria
Audit Timeline Export Contains Event Summaries
Given a user selects one or more audit events, when they export to PDF, then the generated PDF includes each selected event’s structured summary and accurate timestamp in chronological order.
Compliance Annotations are Displayed
Given the selected audit events include compliance notes, when exporting, then the PDF report displays all compliance annotations adjacent to the corresponding events with correct formatting.
Custom Headers and Footers with Branding
Given the user has configured company branding, when exporting to PDF, then the PDF includes the specified custom header and footer with company logo, name, and contact details on every page.
High-Resolution Images Embedded in PDF
Given audit events contain image snapshots, when the report is generated, then all images appear in at least 300 DPI resolution without distortion or pixelation.
Table of Contents Generation
Given the export contains multiple sections, when generating the PDF, then a clickable table of contents is created at the beginning, accurately linking to each section’s start page.
Print and Digital Optimization
Given the user exports for print or screen viewing, when selecting the output mode, then the PDF layout, margins, and image compression are optimized for the chosen format without content clipping or quality loss.
CSV Export Generation
"As a fleet manager, I want to export audit records as a CSV file so that I can analyze maintenance trends in my preferred analytics tools."
Description

Provide functionality to export selected audit timeline data in CSV format for external analysis. CSV exports should include columns for event ID, timestamp, event type, user, compliance status, and any custom annotation fields. The system must ensure proper CSV escaping, handle large datasets efficiently, and offer options to include or exclude header rows. By providing a standardized data structure, this feature enables easy import into spreadsheets and business intelligence tools.

Acceptance Criteria
Export Audit Events for Specific Date Range
Given the user selects a start and end date for audit events, When they click on 'Export CSV', Then the system generates a CSV containing only events within the specified date range with columns: event ID, timestamp, event type, user, compliance status, and custom annotations.
Include Custom Annotations in Export
Given the user chooses to include custom annotation fields, When generating the CSV export, Then the output includes additional columns for each custom annotation with correctly populated values.
Export Without Header Row Option
Given the user deselects the 'Include Headers' option, When exporting the CSV, Then the resulting file omits the header row and retains all data rows in the correct column order.
Properly Escape Special Characters
Given audit event fields contain commas, quotes, or line breaks, When exporting to CSV, Then all fields are properly escaped according to RFC 4180 standards (e.g., fields are enclosed in double quotes and internal quotes are doubled).
Export Large Dataset Handling
Given the dataset exceeds 10,000 rows, When the user initiates CSV export, Then the system processes the request asynchronously, provides a download link upon completion, and ensures the file integrity by validating row counts.
Custom Annotation Support
"As an inspector, I want to add custom notes to audit events so that I can highlight issues and provide context for my team."
Description

Allow users to add, edit, and remove custom annotations on selected audit events within the export workflow. Annotations should support rich text formatting, tagging for categorization, and optional file attachments such as photos or documents. These annotations will appear inline in the exported PDF and as separate columns in CSV exports. Integration with existing event metadata ensures annotations are stored in the audit log and retrievable for subsequent exports, enhancing report context and collaboration.

Acceptance Criteria
Rich Text Annotation Creation
Given a user selects one or more audit events in the export workflow, When the user opens the annotation editor, formats text (bold, italic, lists), adds tags, and attaches a file (image or document), Then the annotation is saved to the audit log with preserved formatting, tags, and attachment metadata, and is retrievable for immediate inclusion in the export.
Annotation Editing and Versioning
Given an existing annotation on an audit event, When the user edits text, updates tags, or changes attachments, Then the updated annotation replaces the previous version in the audit log, retains version history metadata, and is reflected in any subsequent export.
Annotation Removal Workflow
Given one or more annotations attached to selected audit events, When the user deletes an annotation, Then the annotation is removed from the audit log, no longer appears in PDF or CSV exports, and a deletion record is logged for audit purposes.
PDF Inline Annotation Rendering
Given annotations exist for events included in a PDF export, When the export is generated, Then each annotation appears inline adjacent to its corresponding event, maintaining original formatting, displaying tags, and linking to attached files.
CSV Annotation Column Integration
Given a CSV export of selected audit events, When the export is generated, Then annotations appear as separate columns (Annotation Text, Tags, Attachment URLs) aligned with each event row, and all data is correctly escaped and formatted.
Automated Compliance Highlighting
"As a compliance officer, I want non-compliant events highlighted in exported reports so that I can immediately focus on critical issues during audits."
Description

Introduce automated highlighting of non-compliant or critical events in export snapshots. The system will analyze selected event data against compliance rules and visually mark events with color-coded badges (e.g., red for violations, yellow for warnings) in both PDF and CSV outputs. This feature integrates with the compliance engine to fetch rule definitions and evaluation results in real time. By emphasizing key issues, it streamlines audit reviews and directs user attention to areas requiring immediate action.

Acceptance Criteria
Export Timeline with Non-compliant Events
Given a user selects any timeframe containing non-compliant events, when exporting to PDF or CSV, then each non-compliant event is tagged with a red badge displaying the rule violation code, event description, and timestamp.
CSV Export Compliance Badges
Given a user exports the audit timeline to CSV, when the file is generated, then the CSV includes an additional "Compliance Status" column with values "Violation", "Warning", or "Compliant" and cell backgrounds colored red for violations, yellow for warnings, and green for compliant events.
PDF Report Warning Annotations
Given a user exports to PDF a timeline containing warning-level events, when the PDF is opened, then all warning events display a yellow badge icon next to the timestamp and include a footnote explaining the warning rule.
Real-time Compliance Rule Integration
Given that compliance rule definitions are updated in the compliance engine, when a user initiates an export, then the system fetches the latest rule set and applies it to all selected events before generating the export snapshot.
Color-coded Highlighting Accuracy
Given a mixed set of event severities, when exporting the timeline, then at least 99% of severe events are correctly color-coded red, warnings yellow, and compliant events green in both PDF and CSV outputs.

ThreadMark

Introduces inline comment threads and approval markers directly on the timeline. Teams can add notes, tag colleagues, or highlight compliance issues in context, fostering collaborative reviews and ensuring clear communication throughout the audit process.

Requirements

Inline Comment Threads
"As an aircraft mechanic, I want to add inline comment threads directly to maintenance timeline entries so that I can discuss specific tasks in context and track feedback."
Description

Allow users to add comment threads directly on individual entries in the maintenance timeline. Each thread supports nested replies, timestamps, and is contextually linked to the specific log entry. Threads are stored in the database and displayed inline, enabling real-time collaboration and audit transparency.

Acceptance Criteria
Adding a New Inline Comment Thread
Given a user views a maintenance timeline entry When the user selects 'Add Comment' on that entry and submits a comment Then a new comment thread is created with the correct timestamp, linked to the entry, and visible inline
Replying to an Existing Thread
Given a user views an existing inline comment thread When the user submits a nested reply to that thread Then the reply appears under the parent comment in correct chronological order with timestamp and author attribution
Displaying Nested Replies
Given a timeline entry has multiple levels of nested replies When the entry is loaded or refreshed Then all comment threads and nested replies display inline with proper indentation and order
Persisting Threads After Refresh
Given one or more comment threads exist on a timeline entry When the user reloads the page or navigates away and returns Then all threads and replies persist in the database and display exactly as before
Contextual Linking of Threads to Entries
Given multiple timeline entries have comment threads When a user filters or searches entries Then each entry’s inline comment threads remain contextually linked and visible only under their respective entries
Approval Markers
"As a maintenance supervisor, I want to place approval markers on completed tasks so that I can verify compliance and sign off directly in the timeline."
Description

Enable authorized users to place approval markers on timeline segments. Each marker records approver identity, date/time, and optional digital signature. Visual indicators on the timeline distinguish approved items and integrate with compliance reports.

Acceptance Criteria
Approver Adds a Marker to a Timeline Segment
Given an authorized user is viewing the timeline When they select a segment and click "Add Approval Marker" Then a marker appears at that segment with the user's identity, current date/time, and optional digital signature recorded
Viewer Sees Visual Approval Indicator
Given a timeline with approval markers When a user views the timeline Then approved segments display a distinct visual indicator (e.g., green checkmark)
Digital Signature Is Captured and Stored
Given an approver opts to add a digital signature When they complete the signature process Then the signature is stored with the marker and is viewable in the marker details
Unauthorized User Attempts to Add a Marker
Given a user without approval permissions When they attempt to add an approval marker Then the system displays an "Insufficient Permissions" error and no marker is created
Approval Data Included in Compliance Report
Given a completed timeline with approval markers When a compliance report is generated Then the report includes each marker's approver identity, timestamp, and signature data
User Tagging within Threads
"As a mechanic, I want to tag colleagues in comment threads so that they are automatically notified and can respond to specific inquiries."
Description

Support @mentions within comment threads to tag colleagues. Tagged users receive notifications and can jump directly to the relevant thread. Tagging streamlines assignment and accountability within discussions.

Acceptance Criteria
Mention Auto-Completion
Given a user types '@' followed by at least two characters of a colleague’s name, when the dropdown appears, then the system suggests matching users and the user can select one to insert the mention correctly
Notification Delivery for Tagged Users
Given a comment thread with one or more @mentions is posted, when the post is submitted, then each tagged user receives a real-time in-app notification within 5 seconds
Jump to Tagged Thread via Notification
Given a tagged user clicks on the notification for a mention, when the link is activated, then the system navigates the user directly to the corresponding comment thread and highlights the mentioned comment
Multiple User Tagging
Given a user includes multiple valid @mentions in a single comment, when the comment is posted, then all referenced users receive individual notifications and each mention is correctly rendered in the thread
Invalid User Tag Handling
Given a user attempts to mention a username that does not exist or is outside their permissions, when they try to submit the comment, then the system prevents posting, displays an inline error message, and does not send any notifications
Compliance Issue Highlighting
"As a compliance officer, I want to highlight and categorize compliance issues directly in comments so that they stand out and are tracked for resolution."
Description

Introduce color-coded flags and labels for compliance issues raised in threads. Each flag links to a resolution workflow, allowing users to track status, assign owners, and record remediation steps in context.

Acceptance Criteria
Flagging a New Compliance Issue
Given a user is viewing an inline comment thread on the timeline When they mark the comment as a compliance issue Then a color-coded flag appears next to the comment indicating issue severity
Initiating Resolution Workflow from Flag
Given a compliance issue flag is displayed on a thread When the user clicks the flag icon Then the resolution workflow modal opens with pre-populated issue details
Assigning Owner to Compliance Issue
Given the resolution workflow modal is open When the user selects an owner from the dropdown and saves Then the selected owner’s name is displayed on the compliance issue flag
Updating Compliance Issue Status
Given a compliance issue has an assigned owner When the owner updates the issue status to In Progress or Resolved Then the flag color and label update to reflect the new status
Recording Remediation Steps
Given a compliance issue is marked In Progress When the owner enters remediation steps and saves Then the remediation details appear in the thread context with timestamp and author
Thread Activity Notifications
"As a team member, I want to receive notifications when someone replies to a thread or marks it approved so that I stay informed on the audit progress."
Description

Implement real-time notifications for thread activity, including new comments, replies, and approval placements. Notifications appear in the dashboard and via optional email alerts, ensuring stakeholders stay informed.

Acceptance Criteria
New Comment Notification
Given a thread has a new comment added, when a user has notifications enabled for that thread, then a dashboard notification appears within 5 seconds containing the comment author, a snippet of the comment, and a link to the comment.
Reply Mention Notification
Given a user is explicitly mentioned (@tagged) in a thread comment, when the mention occurs, then an email notification is sent to the user's registered email address within 1 minute containing the full comment and a direct link to the thread comment.
Approval Marker Notification
Given an approval marker is applied to a thread, when the approval action is completed, then all thread subscribers receive a dashboard notification and an optional email summarizing the approval marker, including approver name, approval timestamp, and thread ID.
Notification Preferences Persistence
Given a user updates their notification preferences (enable/disable email or dashboard notifications), when the user saves changes, then the updated preferences are persisted immediately and reflected in all subsequent notification deliveries.
Notification Read Status Synchronization
Given a user marks a notification as read or dismisses it in the dashboard, when the action is performed, then the notification is marked as read across all user devices and no longer appears as unread.
Thread Filtering and Search
"As a fleet manager, I want to filter and search comment threads by keyword and status so that I can quickly find relevant audit discussions."
Description

Provide filtering and search capabilities for comment threads based on user, keyword, status (e.g., open, resolved), and date range. Filters apply directly to the timeline view, enabling quick access to relevant discussions.

Acceptance Criteria
Filter by User in Timeline View
Given a user accesses the timeline view, when they select a specific user from the 'User' filter dropdown, then only comment threads created by that user are displayed within the timeline.
Search Threads by Keyword
Given a user enters a keyword into the thread search input, when they confirm the search, then only comment threads containing the keyword in their content are shown on the timeline.
Filter by Thread Status
Given a user opens the filter panel, when they choose a thread status (open or resolved), then the timeline updates to display only threads matching the selected status.
Filter by Date Range
Given a user selects a start and end date in the date range filter, when they apply the filter, then only comment threads created within the specified date range appear on the timeline.
Combined Filtering and Search
Given a user applies multiple filters (user, status, date range) and enters a keyword, when they execute the combined filter and search, then the timeline shows only comment threads that meet all specified criteria and contain the keyword.

QuickLog Mode

Enables mechanics to rapidly record essential maintenance entries offline using a streamlined interface. By prioritizing critical fields and auto-filling repetitive data, users can capture logbook updates in seconds—even without connectivity—and trust they’ll sync accurately once online.

Requirements

Offline Data Capture
"As a remote-area mechanic, I want to record maintenance entries without an internet connection so that I never lose critical logbook data."
Description

Implement a local storage mechanism that securely caches maintenance entries when the device is offline, queues them for synchronization, and ensures no data loss. This solution must handle intermittent connectivity, manage storage limits, and maintain data integrity until entries are successfully synced.

Acceptance Criteria
Offline Entry Creation
Given the device is offline, when a mechanic submits a maintenance entry, then the entry is stored locally with a unique identifier, timestamp, and user ID.
Automatic Synchronization Upon Reconnection
Given the device regains network connectivity, when queued entries exist locally, then the system automatically syncs all entries to the server within 60 seconds and confirms successful upload.
Storage Capacity Management
When local storage usage reaches 90% of the allocated cache limit, then the system displays a warning notification and prevents creation of new entries until space is freed.
Duplicate Entry Prevention
Given a maintenance entry with the same unique identifier exists on the server, when local entries attempt to sync, then the system flags the conflicting entry and prevents duplication, prompting user review.
Post-Sync Data Integrity Verification
After entries are synced, when the synchronization process completes, then local entries are verified against server records for consistency, and successfully synced entries are removed from local cache.
Streamlined Entry Interface
"As a busy mechanic, I want a simplified input interface so that I can record maintenance actions in seconds."
Description

Design a dedicated QuickLog screen that surfaces only essential fields with large touch targets, a simplified layout, and minimal navigation steps. The interface should prioritize speed and clarity, reducing cognitive load and time-to-entry for mechanics in the field.

Acceptance Criteria
Mechanic Opens QuickLog Screen in Offline Mode
Given the device has no network connection When the mechanic taps the QuickLog icon on the AeroTrack dashboard Then the QuickLog screen loads within 2 seconds displaying only essential fields (e.g., tail number, date/time, maintenance type) with large touch targets and minimal navigation options
Auto-Fill Repetitive Data Fields
Given the mechanic has previously entered data for the same aircraft When the QuickLog screen opens Then tail number, current date/time, and mechanic ID are auto-populated correctly and editable by the user
Essential Fields Navigation
Given the QuickLog screen is displayed When the mechanic uses the Next and Previous buttons or swipes between fields Then focus moves sequentially through fields, the on-screen keyboard appears for text inputs, and each field is highlighted with clear visual feedback
Submission Queued for Sync
Given the mechanic completes all required fields offline When the mechanic taps the Submit button Then the entry is saved locally, marked with a “Pending Sync” status, and visible in the log history with a distinct icon indicating offline submission
Syncs Automatically on Reconnect
Given one or more QuickLog entries are pending sync When the device regains network connectivity Then the entries automatically synchronize to the central database within 1 minute and update their status to “Synced” without user intervention
Auto-fill Repetitive Data
"As a frequent user, I want common fields to be auto-filled so that I spend less time typing and more time inspecting aircraft."
Description

Enable automatic population of recurring fields (e.g., mechanic name, aircraft tail number, date/time) based on user profile, last entry context, or defaults. Provide editable pre-filled values to minimize manual typing and accelerate data entry.

Acceptance Criteria
Initial Auto-Fill on Login
Given a mechanic is logged into QuickLog Mode, when opening the new entry form, then mechanic name, aircraft tail number, and current date/time are automatically populated from the user profile and system clock.
Contextual Auto-Fill for Sequential Entries
Given a user has completed a maintenance entry, when creating a subsequent entry in the same session, then recurring fields retain values from the most recently submitted entry.
Offline Entry Preparation
Given the device is offline, when the user launches a new logbook entry, then the form auto-populates mechanic name, tail number, and last known date/time based on cached session data.
Editable Pre-Filled Fields
Given the form is pre-filled, when the user edits any auto-populated field and saves the entry, then the edited value persists for that entry and becomes the default for the next entry.
Default Value Fallback for Missing Data
Given the user profile lacks a default aircraft tail number, when opening the entry form, then the system uses a predefined fallback value and flags the field for mandatory review before saving.
Automatic Data Sync
"As a fleet manager, I want QuickLog entries to automatically sync when online so that all logs remain up-to-date without manual intervention."
Description

Develop a background synchronization service that detects when connectivity is restored and pushes locally stored entries to the server. The service must handle conflict resolution, retries on failures, and provide status feedback once entries are synchronized.

Acceptance Criteria
Offline Entry Synchronization Upon Reconnect
Given a user has created log entries offline, when connectivity is restored, the background service should automatically detect network availability, push all locally stored entries within 30 seconds, and mark them as synchronized in the UI.
Conflict Resolution for Duplicate Entries
Given an entry on the server has been modified while the same entry was edited offline, when the user goes online, then the service should detect the conflict, prompt the user with options to merge changes or keep one version, and apply the user's choice without data loss.
Retry Logic on Sync Failures
Given the sync attempt fails due to transient errors (e.g., 5xx HTTP), when the service retries, then it should retry up to 3 times with exponential backoff intervals (2s, 4s, 8s) before reporting a failure.
User Feedback on Sync Status
Given there are pending sync operations, when the user views the QuickLog dashboard, then a status indicator should display 'Sync In Progress' and update to 'Sync Complete' or 'Sync Failed' based on the outcome.
Data Integrity Verification Post-Sync
Given entries have been synchronized to the server, when the sync completes, then the service should verify checksums of each entry and log a confirmation event in the audit log for each successful verification.
Data Validation & Error Handling
"As a quality auditor, I want entries validated at input so that logbooks remain compliant and error-free."
Description

Incorporate real-time validation for critical fields (e.g., date formats, required fields) and clear error messaging. The system should prevent submission of invalid entries, guide users to correct mistakes, and log validation errors for audit purposes.

Acceptance Criteria
Mandatory Fields Validation
Given the mechanic is in QuickLog Mode and attempts to submit a log entry with missing required fields When the submit action is triggered Then the system prevents submission and highlights each missing field with a 'Required field' error message
Date Format Validation
Given the mechanic enters a date in an incorrect format within QuickLog Mode When focus leaves the date field Then the system displays an inline error message stating 'Invalid date format: use DD/MM/YYYY' and disables submission until corrected
Offline Entry Sync Validation
Given the mechanic records a log entry offline with all fields valid When network connectivity is restored Then the system automatically syncs the entry without errors and confirms synchronization with a success notification
Error Logging for Audit
Given any validation error occurs during QuickLog entry When the user attempts to submit Then the system logs the error details (timestamp, user ID, field name, error type) to the audit log and retains the entry in a pending state
User Guidance Correction
Given the mechanic encounters a validation error in QuickLog Mode When they click on an error message Then the system scrolls to and focuses on the affected field and displays a tooltip with instructions for correction
Audit Trail & Timestamping
"As an inspector, I want to see accurate timestamps and user IDs on each entry so that I can verify who made changes and when."
Description

Automatically timestamp each QuickLog entry with creation and synchronization times, and record user identifiers to maintain an immutable audit trail. This requirement ensures accountability, traceability, and compliance with regulatory standards.

Acceptance Criteria
Offline Entry Creation Audit
Given a mechanic creates a QuickLog entry offline, When the entry is saved, Then the system timestamps the entry with the local creation time and records the user ID in the audit trail.
Automatic Synchronization Timestamping
Given the device reconnects to the network, When offline QuickLog entries are synchronized, Then the system records a sync timestamp for each entry within one second of actual synchronization time.
Immutable Audit Record Verification
Given an entry has been synchronized, When a user attempts to modify the timestamp or user identifier, Then the system prevents the edit and logs the attempted change for audit purposes.
Consistent Timezone Handling
Given entries are created in different time zones, When displayed in the dashboard, Then creation and sync timestamps are converted to UTC and shown consistently without discrepancy.
Compliance Report Generation
Given a fleet manager requests an audit report for QuickLog entries, When generating the report, Then each entry displays creation timestamp, sync timestamp, and user ID for every record.

SmartConflict Resolver

Automatically detects and reconciles discrepancies between offline entries and cloud records by highlighting conflicts and proposing merge suggestions. This ensures data integrity and prevents duplicate or overwritten logs when multiple users update the same record offline.

Requirements

Real-time Conflict Detection
"As a maintenance manager, I want the system to instantly detect when two users edit the same log entry offline and online so that I can avoid conflicting updates and maintain accurate records."
Description

Implement a service that continuously monitors offline entries and cloud records for overlapping edits on the same aircraft log. When a discrepancy is found, the system flags the record, capturing metadata like user, timestamp, and field changes, to prevent data loss and ensure integrity.

Acceptance Criteria
Concurrent Offline and Cloud Edits Detected
Given an offline and a cloud record exist for the same aircraft log entry When overlapping field edits occur in both records Then the system flags the record as a conflict within 5 seconds
Automatic Metadata Capture
Given a conflict is detected When the system flags the record Then metadata including user IDs, timestamps, and field change details are captured and stored in the conflict log
Real-time User Notification
Given a conflict is detected When the system flags the record Then the affected users receive a dashboard notification within 10 seconds with a link to view the conflict details
Conflict Merge Suggestion Accuracy
Given conflicting field values exist When the system proposes merge suggestions Then at least 90% of suggestions match the offline entry and users can accept or reject each suggestion individually
Audit Trail Validation
Given conflicts have been detected and resolved When viewing the system audit trail Then each conflict event is listed with associated metadata and can be filtered by aircraft log ID
Conflict Visualization Dashboard
"As an inspector, I want a clear view of all pending logbook conflicts so that I can assess and prioritize resolution efforts effectively."
Description

Create an intuitive dashboard widget that lists all detected conflicts, highlights differences side by side, and allows users to filter by aircraft, date, and user. This visual representation helps technicians quickly identify mismatches and understand context before resolving.

Acceptance Criteria
Viewing Conflicts for a Specific Aircraft
Given the technician has at least one offline and one cloud log entry for Aircraft N12345 that differ When the technician opens the Conflict Visualization Dashboard and selects Aircraft N12345 Then the dashboard displays only the conflicting entries related to Aircraft N12345 in the list
Filtering Conflicts by Date Range
Given multiple conflicts exist across various dates in the dashboard When the technician applies a date range filter from 2025-07-10 to 2025-07-18 Then only conflicts with timestamps falling within 2025-07-10 and 2025-07-18 are displayed
Filtering Conflicts by User
Given log entries from UserA and UserB are in conflict in the system When the technician filters conflicts by selecting UserB Then only conflicts involving entries created or modified by UserB appear in the conflict list
Side-by-Side Comparison of Entries
Given a conflict is selected in the dashboard list When the technician clicks the ‘Compare’ action for that conflict Then the widget displays the offline entry and the cloud entry side by side, highlighting each field that differs
Resolving a Conflict through Merge Suggestion
Given a conflict with three differing fields between offline and cloud entries When the technician selects ‘Show Merge Suggestion’ Then the dashboard presents a proposed merged entry combining the most recent values with an option to accept or reject each field
Automated Merge Suggestions
"As a mechanic, I want the system to suggest a merged log entry with explanations so that I can resolve conflicts faster and with confidence."
Description

Develop an algorithm that analyzes conflicting entries and proposes a merged record by combining non-overlapping changes and flagging fields requiring manual review. Suggestions should include a confidence score and rationale to guide user decisions.

Acceptance Criteria
Merging Non-Overlapping Offline and Cloud Entry Changes
Given two conflicting entries where changes occur only in separate fields, when the merge algorithm runs, then the system produces a merged record containing both sets of changes with no flagged conflicts.
Detecting Conflicting Fields
Given two entries with overlapping changes in the same field, when a merge suggestion is generated, then the conflicting field is flagged and displayed to the user for manual review and is not auto-merged.
Confidence Score Assignment
Given a proposed merge, when the algorithm analyzes change overlap and content similarity, then the system assigns a confidence score between 0.0 and 1.0 accurate to within ±0.05 of expected values.
Rationale Explanation Generation
Given a merge suggestion, when viewing suggestion details, then the system provides a rationale for each merged field and any flagged conflicts, including source of change and similarity metric used.
Performance Under Large Batch Operations
Given a batch of 1000 conflicting record pairs, when the merge suggestions process executes, then the system completes within 5 seconds and correctly processes all merge outcomes.
Manual Conflict Resolution Override
"As a technician, I want to manually override merge suggestions when needed so that I can ensure the final log reflects the most accurate information."
Description

Enable users to manually review conflict details and choose to accept, reject, or edit fields directly within the conflict resolution interface. Changes should update both offline and cloud copies and log the user’s decisions for audit purposes.

Acceptance Criteria
Viewing Conflict Details
Given conflicting offline and cloud entries exist for a record When the user opens the Manual Conflict Resolution Override interface Then each conflicting field is displayed side-by-side showing offline value, cloud value, timestamps, and highlighted differences
Accepting a Suggested Resolution
Given a suggested merge for a conflicted field is presented When the user selects "Accept" for that field Then both offline and cloud records are updated with the suggested value and an audit log entry is created with the user’s decision
Rejecting a Suggested Resolution
Given a suggested merge for a conflicted field is presented When the user selects "Reject" for that field Then the original offline value is retained in both offline and cloud records and an audit log entry is created with the user’s decision
Editing a Conflicted Field Directly
Given a field has conflicting offline and cloud values When the user manually edits the field in the interface and clicks "Save" Then both offline and cloud records are updated with the new edited value and an audit log entry is created with the user’s decision
Audit Logging of Resolutions
Given the user performs any accept, reject, or edit action When the action is completed Then a timestamped audit log entry is generated capturing the user ID, record ID, field names, original values, new values, and decision type
Audit Logging and Version History
"As a compliance officer, I want a detailed history of all logbook modifications so that I can demonstrate audit readiness and trace any changes."
Description

Implement a versioning system that records each state of a log entry before and after resolution, capturing who made changes and when. Provide a history view to trace the evolution of records and support compliance audits.

Acceptance Criteria
Recording Original Entry
Given a log entry is created; when the user saves the entry; then a version record containing the entry state, timestamp, and user ID is stored as version 1.
Version After Conflict Resolution
Given a conflict is detected and resolved; when the user accepts the merge suggestion; then the system stores the resolved entry state as a new version with details of the changes, user, and timestamp.
Version History Retrieval
Given a log entry has multiple versions; when an auditor views the entry history; then the system displays each version in chronological order with timestamps, user IDs, and change summaries.
Filtering Version History
Given the history view is open; when the user applies a filter by date range or user; then only the versions matching the filter criteria are displayed.
Exporting Audit Trail
Given the user requests an export; when exporting the version history; then the system generates a downloadable CSV or PDF containing all versions with metadata and change details.

SyncPulse Scheduler

Allows users to define custom sync intervals or triggers—such as specific times, battery levels, or reconnection events—to automatically synchronize data. Mechanics gain control over when and how often their local cache updates, balancing connectivity constraints and data freshness.

Requirements

Custom Interval Scheduler
"As a maintenance mechanic, I want to set custom time intervals for data sync so that I can ensure my local logs are up to date without manually triggering synchronization."
Description

Enable users to define specific time-based intervals (e.g., every 15 minutes, hourly, or custom cron expressions) for data synchronization. This requirement ensures that the local cache is updated at predictable, user-controlled times to maintain data freshness while respecting connectivity constraints. The feature integrates with the SyncPulse engine to schedule and trigger synchronization tasks according to the configured intervals. Users benefit from reduced manual syncs, improved operational efficiency, and minimized network usage during peak hours. Implementation involves creating an intuitive interval selection UI, back-end scheduling logic, and failsafe checks to prevent overlapping sync jobs. The expected outcome is a reliable, configurable scheduling system that balances data timeliness and resource consumption.

Acceptance Criteria
Custom 15-Minute Interval Configuration
Given the user selects a 15-minute sync interval in the scheduler UI When the configuration is saved Then the system schedules a sync job to run every 15 minutes within a ±1-minute tolerance And the next run time is displayed correctly in the UI
Cron Expression Daily Midnight Sync
Given the user enters a valid cron expression “0 0 * * *” When the expression is submitted Then the backend registers a job that triggers at midnight every day And the UI confirms the next scheduled run at 00:00 of the following day
Overlapping Sync Prevention
Given a scheduled sync is still in progress when the next interval arrives When the scheduler detects the running job Then it skips the overlapping execution And logs the skipped run without scheduling a parallel job
Failsafe Retry on Connectivity Loss
Given the network is unavailable at the scheduled sync time When the sync attempt fails due to connectivity Then the system retries up to three times with exponential backoff And displays the retry count and final status in the sync history
Interval Input Validation in UI
Given the user inputs an interval less than 1 minute or an invalid cron expression When the user attempts to save Then the UI displays a clear validation error message And prevents saving until a valid value is entered
Battery-Level Trigger Sync
"As a mechanic working in the hangar, I want the app to sync data automatically when my tablet has enough battery so that I don't risk incomplete updates during power fluctuations."
Description

Allow synchronization to automatically commence when the device's battery level reaches a user-defined threshold (e.g., above 50%). This ensures that sync operations occur when sufficient power is available, preventing incomplete transfers and preserving battery life during critical tasks. The module will monitor battery status in real-time, evaluate against configured thresholds, and trigger the SyncPulse scheduler when criteria are met. The requirement enhances reliability by avoiding sync failures due to low battery, integrates seamlessly with device APIs for power monitoring, and provides notifications when sync is initiated or deferred. Expected outcomes include increased uptime of sync operations and improved user trust in data integrity.

Acceptance Criteria
Threshold Reached Sync Trigger
Given the device’s battery level rises to meet or exceed the user-defined threshold, when the threshold is reached, then the SyncPulse scheduler must initiate an automatic data synchronization within 10 seconds.
Low Power Mode Sync Deferral
Given the device battery level falls below the user-defined threshold, when the device is below threshold, then the system must defer any sync operations and send a notification stating sync deferred due to low battery.
Updating Battery Threshold During Runtime
Given a user updates the battery threshold setting while the application is running, when the new threshold is saved, then the battery monitoring module must immediately use the updated threshold for all subsequent sync triggers.
User Receives Sync Status Notifications
Given a sync operation is initiated or deferred based on battery level, when either event occurs, then the system must display a timestamped notification stating “Sync started at [time]” or “Sync deferred at [current_level]% battery” respectively.
Seamless API Integration for Battery Level
Given the device’s native battery API is available, when the battery level changes, then the module must poll the API at least once per minute and update the monitoring component with the accurate battery level for trigger evaluation.
Reconnection Event Trigger
"As a fleet manager who often moves between network zones, I want the system to sync automatically when I regain connectivity so that my maintenance records are always up to date without extra steps."
Description

Automatically initiate data synchronization whenever the application re-establishes network connectivity after an offline period. This requirement guarantees that any changes made offline are promptly synced once a connection is available, maintaining data consistency across devices. The implementation will involve detecting network state transitions, queuing unsynced changes, and invoking the SyncPulse scheduler upon reconnection. Integration with local cache and change-tracking mechanisms ensures reliable backlog processing. The feature benefits users by eliminating manual resync steps post-connection and ensures audit-ready logs are always current. Expected outcomes are seamless resume of data flow and improved workflow continuity.

Acceptance Criteria
Queued Offline Changes Sync
Given the user makes changes to aircraft logs while offline, when network connectivity is re-established, then the application automatically synchronizes all queued changes to the server within 15 seconds, with no data loss or duplication.
Network Flapping Recovery
Given intermittent network connectivity (flapping), the system should only initiate a single synchronization after connectivity stabilizes for at least 5 seconds, preventing duplicate sync processes.
Persistent Queue Across App Restarts
Given the application is closed and reopened while offline, when connection returns, then previously queued changes are retained and synchronized without user intervention.
Sync Error Handling
Given a reconnection-triggered sync encounters a partial failure, the application should retry failed operations up to 3 times using exponential backoff and log errors for audit, succeeding all operations before marking sync complete.
Audit-Ready Sync Logs
Given a successful reconnection-triggered synchronization, the application generates a detailed audit log entry including timestamp, number of records synced, and status, accessible from the maintenance dashboard.
Manual Sync Override
"As an independent mechanic, I want a 'Sync Now' button so that I can immediately update my records before starting a new repair job."
Description

Provide users with a dedicated control to manually trigger data synchronization on demand, bypassing scheduled or conditional triggers. This feature gives users immediate control to refresh data whenever required, for example before an audit or critical task. It will be implemented as a prominent 'Sync Now' button in the dashboard, invoking the existing SyncPulse pipeline. The module includes status feedback (e.g., progress indicator, success/error notifications) and respects active sync locks to prevent conflicts. Expected outcome is enhanced user autonomy and confidence in data recency at key moments.

Acceptance Criteria
Mechanic initiates sync before audit
Given the user is on the dashboard with network connectivity, when the user clicks the Sync Now button, then the SyncPulse pipeline starts immediately and a progress indicator appears. When the sync completes successfully, then a success notification is displayed and the dashboard’s last-synced timestamp updates to the current time.
User attempts manual sync during active sync lock
Given a sync is already in progress and the sync lock is active, when the user clicks the Sync Now button, then the manual sync request is prevented and an informational message 'Sync already in progress' is displayed without triggering a new sync.
User triggers manual sync without network connectivity
Given the user’s device is offline, when the user clicks the Sync Now button, then an error notification 'No network connection' is displayed and no sync attempt is made.
Manual sync error handling and retry option
Given a sync attempt fails due to a server or network error, when the error occurs, then the UI shows an error notification 'Sync failed' with a Retry button. When the user clicks the Retry button, then a new sync attempt is initiated.
Sync Now button visibility and accessibility
Given the user is an authorized mechanic or fleet manager, when viewing the dashboard, then the Sync Now button is visible, enabled, accessible via keyboard (tab focus), and announced properly by screen readers.
Sync Status Dashboard
"As a fleet manager, I want to view sync status and history in a dashboard so that I can quickly identify and resolve any synchronization issues."
Description

Create a dashboard widget displaying the current sync configuration, upcoming scheduled syncs, last sync timestamp, and recent sync results or errors. This requirement offers visibility into sync operations, helping users monitor performance and troubleshoot issues. The implementation includes front-end UI components to visualize status data fetched from the SyncPulse engine, real-time updates, and interactive elements for drill-down into error logs. Integration with notification services alerts users to failed syncs, while historical data supports audit trails. Expected outcomes are greater transparency, faster issue resolution, and higher user satisfaction.

Acceptance Criteria
Dashboard Widget Load
Given the user navigates to the Sync Status Dashboard, when the page loads, then the sync status widget loads within 2 seconds and displays the current sync configuration, upcoming scheduled syncs, last sync timestamp, and recent sync results without errors.
Upcoming Sync Schedule Visibility
Given the sync configuration includes scheduled intervals, when the dashboard is viewed, then the upcoming scheduled syncs list displays at least the next three sync events in chronological order with their scheduled times clearly labeled.
Last Sync Timestamp Accuracy
Given the last sync operation completed, when the dashboard retrieves sync data, then the last sync timestamp matches the timestamp of the most recent successful sync from the SyncPulse engine and is displayed in "YYYY-MM-DD HH:MM:SS" format.
Error Log Drill-Down
Given there are errors in recent sync operations, when the user clicks on an error indicator in the widget, then an error log modal opens within 1 second, showing detailed error messages with timestamps and error codes.
Failed Sync Notification
Given a sync operation fails, when the failure is detected, then the system sends a notification to the user within 10 seconds containing the sync error code, error description, and a retry option.

DeltaSync Optimizer

Minimizes data transfer by identifying and syncing only modified records and attachments. This intelligent approach reduces bandwidth usage and accelerates sync times, making AeroTrack efficient even on limited or flaky connections.

Requirements

Change Detection Engine
"As an aircraft mechanic, I want the system to detect and isolate only altered logbook entries and files so that I minimize data usage and accelerate sync operations on limited bandwidth."
Description

Implement a mechanism that efficiently identifies modified records and attachments by comparing local and server-side metadata. This engine should support granular diffing at the field level for log entries, as well as checksum-based detection for attachments, ensuring only changed data is flagged for syncing and reducing unnecessary data transfer.

Acceptance Criteria
Field-Level Change Detection for Logbook Entries
Given a local log entry and its server-side version with a modified field, when the Change Detection Engine runs, then it flags only the modified field in the delta payload.
Checksum-Based Attachment Diff
Given a local attachment and its server checksum, when checksums differ, then the engine marks the attachment for upload; when identical, then it excludes the attachment from the sync payload.
Initial Metadata Comparison on Launch
Given AeroTrack startup with empty sync state, when the Change Detection Engine performs an initial metadata scan, then it retrieves and compares last modified timestamps for all records and attachments to build the initial sync set.
Conflict Resolution on Simultaneous Edits
Given concurrent edits to the same log entry on local and server within the sync window, when the engine detects conflicts, then it flags the record and triggers a merge resolution workflow without sending either version automatically.
Performance under Limited Bandwidth
Given a slow network connection, when the engine identifies only modified items, then the total sync payload size is reduced by at least 80% compared to a full sync, and the sync completes under 60 seconds for a 100-record update set.
Delta Payload Generator
"As a fleet manager, I want the app to send only the changed portions of my records and documents so that I can quickly sync updates without reuploading entire files."
Description

Develop a payload generator that constructs sync packages containing only differences identified by the Change Detection Engine. The generator must package field-level deltas and modified file segments into compact formats, integrate with existing AeroTrack APIs, and ensure compatibility with offline and queued sync workflows, optimizing bandwidth usage.

Acceptance Criteria
Generating Delta Payload for Single Record Update
Given a record with a single field change, when the Change Detection Engine identifies the change, then the Payload Generator produces a payload containing only the changed field and record identifier.
Packaging Multiple Field-Level Deltas
Given a record with multiple field changes, when deltas are generated, then the Payload Generator bundles all field-level changes into a single compact payload preserving correct field mappings.
Handling Modified File Segments in Payload
Given an attachment with modified segments, when the Change Detection Engine detects file diffs, then the Payload Generator includes only the modified file segments in the sync package.
Integrating Payload Generator with Offline Queue
Given an offline sync workflow, when a delta payload is generated, then the Payload Generator enqueues the payload for later transmission and persists it locally in the queue format.
Ensuring API Compatibility for Delta Payload
Given existing AeroTrack sync APIs, when delta payloads are submitted, then the APIs accept and correctly process field-level and file segment deltas without errors.
Bandwidth Threshold Configurator
"As a small operator with limited data allowance, I want to set a sync bandwidth cap so that AeroTrack stays within my data plan without manual intervention."
Description

Provide configurable settings that allow users or admins to define bandwidth usage thresholds and sync frequency. The configurator should offer presets (e.g., low, medium, high) and custom limits, dynamically adjusting the DeltaSync process to respect data caps or network quality, ensuring reliable operations even on flaky connections.

Acceptance Criteria
Preset Bandwidth Threshold Configuration
Given the user navigates to the Bandwidth Threshold Configurator When the user selects the 'Low' preset Then the system sets both upload and download thresholds to 500 kbps And sync frequency is automatically set to 'Daily' And the UI displays a success confirmation message.
Custom Bandwidth Threshold Configuration
Given the user selects 'Custom' in the preset options When the user enters upload = 1000 kbps and download = 2000 kbps within allowed ranges And the user clicks 'Save' Then the system persists these custom threshold values And the UI reflects the new thresholds and confirmation notification.
Dynamic Sync Frequency Adjustment
Given the system detects network quality as 'Poor' When the Bandwidth Threshold Configurator is active Then the system automatically switches the sync frequency to 'Low' mode And applies the corresponding preset thresholds without user action.
Validation of Custom Threshold Limits
Given the user inputs a custom threshold below 100 kbps or above 10 000 kbps When the user attempts to save their settings Then the system blocks the save action And displays an inline error message detailing the valid threshold range (100–10 000 kbps).
Effect of Threshold Change on Sync Performance
Given the user has updated either a preset or custom threshold When the next DeltaSync is initiated Then the sync process respects the configured bandwidth limits And recorded bandwidth usage in the sync log does not exceed the configured thresholds.
Resumable Sync Sessions
"As a field technician working in remote areas, I want my sync to pick up where it left off after a dropped connection so that I don’t have to restart large uploads from scratch."
Description

Enable resumable sync sessions by tracking progress checkpoints and supporting partial transfers. In case of network interruptions, the system should resume from the last successful checkpoint, reusing already transferred deltas and avoiding duplication, thereby ensuring robust and efficient sync continuity.

Acceptance Criteria
Checkpoint-Based Sync Resumption
Given a sync session is interrupted at checkpoint X, when the user resumes the session, then the system should begin transferring deltas starting from checkpoint X without re-transmitting records already synced.
Partial Attachment Transfer Recovery
Given an attachment upload is interrupted after transferring 45% of the file, when the sync resumes, then the system should resume transferring the remaining 55% of the attachment and validate the complete file checksum matches the original.
Incremental Delta Sync Verification
Given 20 modified records exist since the last successful checkpoint, when the session completes, then exactly 20 record updates should be applied without duplicates or omissions and the client record count matches the server.
Network Fluctuation Recovery
Given multiple network disconnects occur during a sync session, when the connection is re-established each time, then the system should automatically resume from the last checkpoint until all data is synchronized without manual intervention.
App Restart Sync Continuity
Given the application is closed during an active sync session, when the user reopens the application and initiates sync, then the session should resume from the last saved checkpoint and complete full synchronization.
Sync Performance Monitoring
"As an operations manager, I want to view sync performance metrics so that I can identify slowdowns or failures and take corrective action."
Description

Implement monitoring and reporting tools that track sync durations, data volumes transferred, and success rates. Provide a dashboard within AeroTrack that visualizes performance metrics, highlights bottlenecks, and alerts users to sync failures or excessive data usage, facilitating proactive optimization and transparency.

Acceptance Criteria
Dashboard Performance Metrics Visualization
Given the user opens the Sync Performance dashboard, when the last 24-hour sync data is available, then the dashboard displays sync durations, data volumes, and success rates updated within 5 seconds.
Sync Failure Alert Generation
Given a sync operation fails, when the monitoring service detects the failure, then an alert is logged, a dashboard warning icon appears within 1 minute, and an email notification is sent to the user.
Historical Sync Data Trend Reporting
Given the user selects a 7-day period, when the trend report is generated, then sync duration and data volume metrics are plotted per day with no more than 2% variance from raw data.
Bottleneck Detection in Sync Process
Given sync durations exceed baseline by 20%, when the anomaly analyzer runs, then the component causing the highest latency is identified and highlighted in the dashboard with detailed timing breakdown.
Excessive Data Usage Notification
Given cumulative data transferred exceeds 500 MB within 24 hours, when the threshold is breached, then the dashboard displays a warning message and an email alert is dispatched to the user.

LocalLens Search

Provides robust offline search and filter capabilities within the local cache, enabling users to quickly locate past tasks, compliance checklists, or part records without an internet connection. Enhanced tagging and sort options ensure swift access to critical information in the hangar or remote airstrips.

Requirements

Local Data Indexing
"As a maintenance technician, I want all aircraft maintenance records indexed locally so that I can quickly search through large datasets even when I'm offline."
Description

Implement a background service that scans and indexes all relevant cached records—including past tasks, compliance checklists, and part histories—into a structured local database to enable fast lookup without network connectivity. The service maintains index consistency during cache updates and optimizes for minimal CPU and storage overhead on the device.

Acceptance Criteria
Initial Index Generation
Upon first app launch or after cache clear, the background service scans and indexes all cached records within 60 seconds, and the local database contains entries for 100% of tasks, compliance checklists, and part histories.
Incremental Index Update
Following any addition, modification, or deletion of cached records, the index reflects the change within 5 seconds with zero stale records present in the local database.
Offline Search Retrieval
When offline, user searches or filters by keyword, tag, or date range, the system returns accurate matching records within 200ms and with at least 99% accuracy.
Index Integrity After Cache Sync
After a cache synchronization with the remote server, the local index matches the cache content exactly—validated by matching record counts and checksum comparisons.
Resource Utilization Compliance
During indexing operations, CPU usage remains below 30% and local storage overhead for the index does not exceed 15% of total cache size.
Offline Search Interface
"As a small fleet manager, I want an intuitive offline search interface so that I can locate critical task logs instantly in remote hangars."
Description

Design and build a user-friendly search bar and result display that operates entirely on the device’s local cache. Include features like auto-suggestions, typo tolerance, and highlight matching terms. Ensure the interface remains responsive with sub-second query times on up to 50,000 cached entries.

Acceptance Criteria
Offline Search Initialization
Given the user opens the search interface while offline When the local cache contains up to 50,000 entries Then the search bar loads and is ready for input within 500ms
Auto-Suggestions with Local Data
Given the user types at least three characters When the input matches cached entries Then the system displays up to 10 relevant auto-suggestions in under 200ms
Typo Tolerance Handling
Given the user enters a search term with up to two character errors When the search executes Then matching results within a Levenshtein distance of 2 appear and are correctly retrieved
Result Highlighting of Matching Terms
Given search results are returned When displayed Then all instances of the query term (exact or approximated) are highlighted in the result snippet
Performance Under Maximum Cache Load
Given the local cache contains 50,000 entries When the user executes a full-text search Then results are returned within 1 second
Sorting and Tag Filtering Offline
Given the user applies a tag filter or sort option offline When the filter or sort is applied Then the system returns correctly filtered and sorted results within 500ms
Enhanced Tagging & Metadata
"As an independent mechanic, I want to tag and categorize my maintenance records so that I can quickly filter and group relevant entries when performing specialized checks."
Description

Enable users to assign and manage multiple custom tags and metadata fields (e.g., part number, aircraft tail number, inspection type) to cached records. Provide bulk tagging tools and an API for system-generated tags based on task categories, improving search granularity and organization.

Acceptance Criteria
Bulk Tagging of Multiple Records
Given the user selects multiple cached records in the local cache When the user applies one or more custom tags using the bulk tagging tool Then all selected records must display the new tags and metadata fields and persist across app restarts
Creation of Custom Metadata Fields
Given the user navigates to the metadata settings page When the user defines a new custom metadata field with a valid name and type and saves Then the new field must appear in the record details form and be available for tagging future records
System-Generated Tagging via API
Given an external system sends a tagging request through the API with task category data When the request is processed by the local cache service Then matching records must automatically receive the generated tags and metadata and be visible in the UI
Editing and Removing Custom Tags
Given the user views a cached record with existing custom tags When the user edits or removes a tag from that record and saves changes Then the record's metadata must update accordingly and no longer show removed tags
Performance of Bulk Tagging on Large Datasets
Given the user initiates bulk tagging on over 1,000 cached records When the operation completes Then the tagging process must finish within 5 seconds without errors and all records must reflect the new tags
Advanced Filter Options
"As a compliance auditor, I want to apply advanced filters offline so that I can drill down to specific maintenance events without having to sift manually through all records."
Description

Develop multi-criteria filtering controls—such as date ranges, tag selection, record type toggles, and custom metadata filters—that work offline on the local cache. Ensure that filter combinations execute efficiently and that users can save and load filter presets for repeated use.

Acceptance Criteria
Date Range Filter Application
Given the user selects a start and end date offline, When the filter is applied, Then only records whose timestamps fall within the specified date range are displayed, and the operation completes within 200ms for up to 1,000 cached records.
Tag Selection and Combination
Given the user chooses one or multiple tags from the offline tag list, When filters are applied, Then the system displays records containing all selected tags and indicates the count of matching records.
Record Type Toggle Functionality
Given the user toggles between record types (tasks, checklists, or parts) offline, When the toggle is activated, Then only the selected record types are visible, and toggling reflects immediately in the results list.
Custom Metadata Filter
Given the user defines a custom metadata filter (e.g., part number, mechanic ID) offline, When the filter is applied, Then records matching the custom metadata criteria are displayed, and invalid metadata inputs produce a user-friendly error message.
Filter Preset Saving and Loading
Given the user saves a combination of filter settings offline, When the user names and saves the preset, Then the preset appears in the saved list and can be loaded later to reapply the exact filter combination.
Quick Access Shortcuts
"As a hangar supervisor, I want to save my most-used search queries as shortcuts so that I can pull up critical checklists with a single tap during turnaround operations."
Description

Implement a customizable quick-access toolbar or favorites list that allows users to pin frequently used searches, filters, or tagged groups. Store these shortcuts locally so they are available offline and provide options to reorder, edit, and remove them on demand.

Acceptance Criteria
Pin Favorite Search
Given a user performs a local search and taps 'Pin to Quick Access', When the user confirms, Then a new shortcut named after the search parameters appears in the toolbar and persists after app restart.
Reorder Shortcuts
Given multiple shortcuts in the quick-access toolbar, When the user drags a shortcut to a new position and releases, Then the shortcut moves to that position and the new order is saved across sessions.
Edit Existing Shortcut Label
Given a user views their list of shortcuts, When the user selects 'Edit' on a shortcut, modifies its name, and saves, Then the updated name displays immediately and persists after app restart.
Remove Shortcut
Given a user selects the 'Remove' option on a shortcut, When the user confirms deletion, Then the shortcut is removed from the toolbar and no longer appears after app restart.
Offline Access to Shortcuts
Given the device is offline, When the user opens the quick-access toolbar, Then all pinned shortcuts are visible, tappable, and executing a shortcut reruns the saved search or filter locally.
Sync Conflict Handling
"As a fleet technician who works offline frequently, I want a conflict resolution workflow so that I can reconcile my local changes with the central logbook without risking data loss."
Description

Build a local conflict detection and resolution mechanism that flags discrepancies between offline edits and server data when connectivity is restored. Offer users a clear UI to review differences, merge changes selectively, or override outdated entries to maintain data integrity across devices.

Acceptance Criteria
Offline Edit Conflict Detection
Given a local record has been edited offline and the same record was updated on the server, When the user regains connectivity and initiates sync, Then the system detects the discrepancy and flags the record for conflict resolution.
User Resolution of Task Field Discrepancy
Given a conflict between local and server versions of a task field, When the user opens the conflict resolution interface, Then both versions of the field are displayed side by side and the user can select either the local or server value for each field.
Bulk Merge Override Workflow
Given multiple conflicting records have been identified after sync, When the user selects ‘Merge All Local Changes’ in the conflict resolution UI, Then the system applies all local edits to the server in batch and logs each action in the audit trail.
Version History Preservation
Given conflicts have been detected and the user resolves them, When the resolution is confirmed, Then the system preserves previous versions of each affected record and makes them accessible via the version history audit log.
Connectivity Restoration Postponement Handling
Given the user chooses to postpone conflict resolution when connectivity is restored, When the application goes offline again before completing resolution, Then the system retains the conflict flags locally and prompts the user to resolve them upon the next successful connection.

AttachmentCache

Securely stores photos, PDFs, and technical documents locally, queuing them for automatic upload when connectivity resumes. Technicians can capture before-and-after images and attach supporting files to log entries offline, ensuring complete records regardless of location.

Requirements

Offline Attachment Capture
"As a field technician, I want to capture photos and attach files to log entries while offline so that I can document maintenance tasks even without network connectivity."
Description

The system provides the capability for technicians to capture and attach photos, PDFs, and other technical documents within the mobile application while completely offline. This functionality includes an intuitive camera integration, file picker for existing documents, and seamless association with specific log entries. It ensures that critical maintenance evidence is recorded at the point of work regardless of connectivity, reducing the risk of missing data and ensuring compliance.

Acceptance Criteria
Capture Photo Offline and Associate with New Log Entry
Given the mobile device is offline and the technician is composing a new log entry, When the technician taps 'Add Photo' and captures an image, Then the image is saved locally, linked to the log entry, and marked as pending upload.
Attach Existing Document Offline
Given the technician is offline and viewing an existing log entry, When the technician selects 'Add Document' and chooses a PDF from local storage, Then the document is attached to the log entry and queued for upload.
View Pending Attachments While Offline
Given the device has no network connectivity, When the technician navigates to 'Pending Uploads', Then all offline-captured attachments display with file name, type, size, and associated log entry ID.
Automatic Upload of Queued Attachments on Reconnection
Given the device transitions from offline to online, When connectivity is detected, Then all pending attachments upload automatically and the log entries update to 'Synchronized' status.
Handle Oversized Attachment Attempt Offline
Given the technician is offline and selects a file larger than 10MB, When the attachment is added, Then the system displays an error 'Attachment exceeds maximum size of 10MB' and does not queue the file.
Local Secure Storage
"As a fleet manager, I want offline attachments to be encrypted and stored locally so that sensitive maintenance data is protected and audit-ready."
Description

All offline attachments are stored on the device in an encrypted, sandboxed storage area accessible only by the AeroTrack application. The encryption leverages AES-256 standards to protect sensitive maintenance images and documents. Secure storage guarantees data integrity and confidentiality until the attachments are successfully uploaded to the central server.

Acceptance Criteria
Offline Attachment Encryption Verification
Given a technician captures an attachment when offline, When the attachment is saved, Then it must be encrypted using AES-256 before being stored.
Sandboxed Storage Access Control
Given the AeroTrack app is installed, Then no other app or user process can read or write to the storage area reserved for offline attachments.
Data Integrity Check After Encryption
Given an attachment is retrieved from local storage, When the system decrypts it, Then the checksum must match the original checksum to ensure data integrity.
Automatic Upload Post-Connectivity
Given the device regains network connectivity, When the pending encrypted attachments are queued, Then all attachments are automatically uploaded to the central server without manual intervention.
Secure Deletion After Upload
Given an attachment is successfully uploaded, Then the local encrypted copy must be securely deleted from the device storage to prevent unauthorized access.
Automatic Sync Queue
"As a field technician, I want my offline attachments to upload automatically when I regain connectivity so that I don’t have to manually manage the upload process."
Description

The application automatically detects restored network connectivity and initiates background uploads of all queued attachments. The sync queue prioritizes uploads based on attachment size and creation timestamp, supports retry logic for transient failures, and logs each upload attempt. This ensures a reliable, hands-free synchronization process that maintains up-to-date records.

Acceptance Criteria
Offline Attachment Queue Processing
Given the device is offline and multiple attachments are added to the queue, when network connectivity is restored, then the application automatically starts uploading all queued attachments without user intervention.
Prioritized Upload Order
Given several attachments with varying sizes and timestamps, when the sync queue is processed, then attachments are uploaded in ascending order of size and, for equal sizes, in order of their creation timestamp.
Transient Failure Retry Logic
Given an upload attempt fails due to a transient network error, when retry logic is triggered, then the system retries the upload up to three times with exponential backoff intervals before marking the attempt as failed and moving to the next attachment.
Background Sync Transparency
Given the application is synchronizing attachments in the background, when the user interacts with the UI, then the sync process must not block user actions or cause UI lag, and progress should be logged without displaying blocking notifications.
Upload Attempt Logging
Given each upload attempt, when it completes (successfully or after retries), then the system logs the attachment ID, timestamp, status (success/failure), and error details if any, and persists these logs for audit and troubleshooting.
Sync Status Dashboard
"As a technician, I want to see the upload status of my attachments so that I know which items still need to be synced or require attention."
Description

A dashboard within both the mobile and web interface displays the real-time status of each attachment, indicating states such as Pending, Uploading, Uploaded, and Failed. Users can filter by log entry, date, or status, and receive notifications or alerts for failed uploads. This visibility helps technicians and managers monitor data flow and quickly address any issues.

Acceptance Criteria
Viewing Real-Time Sync Statuses
Given a user navigates to the Sync Status Dashboard When the dashboard loads Then all attachments display a status indicator (Pending, Uploading, Uploaded, Failed) and update in real time within 5 seconds of any status change.
Filtering Attachments by Status
Given a user applies a filter for a specific status (e.g., Failed) When the filter is selected Then only attachments with that status are displayed and the count of filtered items is shown.
Filtering Attachments by Date and Log Entry
Given a user sets a date range and selects one or more log entries When the filters are applied Then the dashboard displays only attachments matching the selected dates and log entries.
Receiving Failure Notifications
Given an attachment upload fails When the system detects the failure Then a notification or alert is sent to the user within 1 minute and the failed attachment is highlighted on the dashboard.
Automatic Retry Upon Reconnect
Given the device regains network connectivity When previously failed uploads are queued Then the system automatically retries uploads and updates the status to Uploading and then Uploaded without user intervention.
Viewing Attachment Status History for a Log Entry
Given a user clicks on a specific log entry When the status history view opens Then it shows a chronological list of all attachment sync events with timestamps and status changes.
Conflict Detection & Resolution
"As a technician, I want to be notified of duplicate attachments so that I can resolve conflicts before finalizing log entries."
Description

When an attachment with duplicate metadata or identifier is queued for upload, the system detects the conflict and notifies the user. It provides options to overwrite the existing file, rename and keep both, or discard the new attachment. This feature prevents data duplication and ensures clarity in maintenance records.

Acceptance Criteria
Duplicate Attachment Detection Upon Connection Restoration
Given multiple attachments in the offline queue with identical metadata When connectivity is restored and upload initiates Then the system detects duplicates and triggers a conflict resolution prompt
Overwrite Existing File Option
Given a duplicate conflict prompt is displayed When the user selects 'Overwrite' Then the new file replaces the existing one and an entry is logged in the attachment history
Rename and Keep Both Option
Given a duplicate conflict prompt is displayed When the user selects 'Rename and Keep Both' Then the system appends a unique suffix to the new file name, uploads both files separately, and logs both attachments
Discard New Attachment Option
Given a duplicate conflict prompt is displayed When the user selects 'Discard' Then the new attachment is removed from the upload queue and the existing file remains unchanged
Conflict Resolution Prompt Accessibility and Usability
Given a conflict is detected When the resolution prompt appears Then it must be visible within 2 seconds of upload, display descriptive labels for each option, and support both keyboard and touch interactions

Task Threads

Create dedicated chat threads for each maintenance task, consolidating all related communications, photos, and documents in an organized, easily navigable conversation. This ensures that team members can quickly catch up on task-specific discussions without sifting through unrelated messages, reducing confusion and speeding up issue resolution.

Requirements

Automatic Thread Generation
"As a maintenance technician, I want a chat thread automatically created for each new task so that I can immediately communicate and share updates without manual setup."
Description

When a user creates or assigns a new maintenance task in AeroTrack, the system automatically generates a dedicated chat thread linked to the task ID. This thread acts as the central location for all communications, photos, documents, and status updates related to the task. By automating thread creation, the requirement eliminates manual setup, ensures consistency across tasks, and reduces the chance of miscommunication. Integration with the main dashboard displays the thread alongside task details, allowing users to immediately access and contribute to the conversation without navigating away from the task interface.

Acceptance Criteria
New Task Creation by User
Given a user fills out and submits the new maintenance task form When the submission is successful Then the system automatically generates a new chat thread linked to the newly created task ID And the thread is available in the task details view without additional user action
Automatic Thread Creation on Task Assignment
Given an existing maintenance task without a chat thread When the task is assigned to a team member Then the system automatically creates and links a chat thread to the task ID And sends a notification to the assigned user about the new thread
Thread Display in Task Details Dashboard
Given a task with an associated chat thread When a user browses the main dashboard and selects the task Then the chat thread preview (including latest message and timestamp) is displayed alongside task details And a single click navigates the user directly into the full thread view
Unique Thread Identifier
Given any existing maintenance task When the system generates a chat thread Then the thread identifier exactly matches the task’s unique ID And no two tasks share the same thread identifier
Error Handling for Thread Generation Failures
Given a failure occurs during automatic thread creation (e.g., network or server error) When the task is created or assigned Then the system displays a clear error message to the user And enqueues a retry to generate the chat thread in the background
Multimedia Attachments Support
"As a mechanic, I want to attach photos and documents directly in the task thread so that I can provide visual evidence and technical data seamlessly."
Description

The chat thread must allow users to upload, preview, and download various file types including images, PDFs, and technical documents directly within the conversation. Embedded previews for supported formats enhance readability and speed up context sharing, while attachment metadata (file name, uploader, timestamp) ensures traceability. Integration with AeroTrack’s storage service ensures files are securely stored, indexed, and easily retrievable for future audits and reference.

Acceptance Criteria
Image Upload in Chat Thread
Given a user selects an image file to attach to a chat thread When the user confirms the upload Then the image is uploaded successfully, a thumbnail preview is displayed inline, and metadata fields (file name, uploader, timestamp) appear alongside the message
PDF Preview Functionality
Given a user uploads a PDF document to a chat thread When the upload completes Then the system displays an embedded preview of the first page inline and shows metadata (file name, uploader, timestamp)
Technical Document Attachment
Given a user attaches a technical document (e.g., DOCX, XLSX) When the file upload is processed Then an appropriate icon is displayed in the thread, metadata (file name, uploader, timestamp) is visible, and the file is marked as downloadable
Attachment Download and Accessibility
Given an attachment exists in a chat thread When a user clicks the download link Then the file downloads to the user's device with the correct file name and content intact
Secure Storage and Retrieval
Given a file is uploaded to the chat thread When an authorized user requests the file Then the system retrieves it securely from AeroTrack’s storage service and provides access, while unauthorized requests are denied
Thread Navigation & Filtering
"As a fleet manager, I want to filter and navigate task threads by status and assignee so that I can quickly locate and review critical discussions."
Description

Users must be able to see a list of all active and archived task threads, filter threads by status, task type, or assigned personnel, and search within thread titles. The interface should provide sorting options (e.g., most recent, priority, or alphabetical) and quick-access favorites or pinned threads. This functionality ensures that users can efficiently locate relevant conversations, keep track of high-importance tasks, and avoid sifting through unrelated discussions.

Acceptance Criteria
Filter Threads by Status
Given the user is on the Task Threads list page When the user selects a status from the status filter dropdown Then only task threads matching the selected status are displayed in the list
Search Thread Titles
Given the user enters a keyword into the thread title search field When the user submits the search Then the list displays only threads whose titles contain the keyword, case-insensitive
Sort Threads
Given the user is viewing the thread list When the user selects a sorting option (Most Recent, Priority, Alphabetical) Then the list reorders threads according to the selected criterion
Favorite and Pin Threads
Given the user has identified an important thread When the user marks the thread as favorite or pins it Then the thread appears in the favorites section at the top of the thread list
View Archived Threads
Given the user toggles the archive view switch When the archive view is enabled Then the list displays archived threads instead of active threads
Real-time Notifications & Mentions
"As a maintenance lead, I want real-time notifications and mentions in task threads so that I never miss important updates or urgent issues."
Description

The system should send real-time in-app and email notifications to relevant team members when there are new messages, attachments, or mentions in a task thread. Users must be able to @mention individuals or roles within the thread to draw attention to specific updates. Notification settings should be customizable at the user level, allowing users to opt in or out of certain types of notifications. This ensures timely communication and swift issue resolution.

Acceptance Criteria
In-App Notification for New Message
Given a user is subscribed to a task thread When another user posts a new message Then the subscribed user receives an in-app notification within 5 seconds containing the message preview and task ID
Email Notification for Attachment Upload
Given a user has enabled email notifications for attachments When a file is attached to a task thread Then the user receives an email within 1 minute with the attachment name, uploader’s name, and a link to the task thread
Mention Alerts for Individual Users
Given a user is @mentioned in a task thread When the mention is posted Then the mentioned user receives both an in-app alert and an email notification highlighting the mention and linking directly to the message
Role-Based Mentions for Team Roles
Given a role (e.g., Lead Mechanic) is @mentioned in a task thread When the role mention is posted Then all users assigned to that role receive an in-app notification listing the mention and task details
Notification Preferences Customization
Given a user navigates to notification settings When the user enables or disables specific notification types Then the system saves the preferences and applies them immediately for future in-app and email notifications
Permissions & Access Control
"As an auditor, I want role-based access control for task threads so that sensitive maintenance data remains secure and only authorized personnel can view it."
Description

Access to a task thread must be governed by user roles and task assignments. Only users assigned to a task, or in specified roles (e.g., Fleet Manager or Lead Technician), can view and post in its thread. Administrators must be able to modify thread permissions, granting temporary access to auditors or external collaborators. Integration with AeroTrack’s authentication and authorization modules ensures secure, role-based access, maintaining the confidentiality of sensitive maintenance data.

Acceptance Criteria
Assigned Technician Access
Given a technician is assigned to a task, when they attempt to access the task thread, then they can view all messages, photos, and documents, and can post new messages and attachments.
Fleet Manager Access to Task Threads
Given a user has the Fleet Manager role, when they access any task thread regardless of assignment, then they can view all content and post messages and attachments.
Administrator Grants Temporary Auditor Access
Given an Administrator grants temporary access to an Auditor for a task thread, when the Auditor’s access period is active, then the Auditor can view all thread content but cannot post messages or attachments.
External Collaborator Access Revocation
Given an external collaborator’s temporary access has expired or been revoked by an Administrator, when the collaborator attempts to access the task thread, then access is denied and they receive an authorization error.
Unauthorized User Restriction
Given a user is neither assigned to the task nor holds a Fleet Manager, Lead Technician, or Administrator role, when they attempt to access the task thread, then they are denied access and see a permissions error.
Thread Search & Full-Text Indexing
"As a support engineer, I want to search all task threads for specific keywords so that I can quickly find relevant past conversations and troubleshoot more efficiently."
Description

The chat component must support full-text search across all thread messages and attachments, allowing users to find specific keywords, part numbers, or technical terms within conversations. Search results should highlight matches and link directly to the relevant message or file. The indexing process must run in near real-time to ensure search accuracy for recent entries. This capability enables quick retrieval of past discussions and supports compliance by facilitating audit investigations.

Acceptance Criteria
Keyword Search in Messages
Given a user enters a keyword into the thread search bar When the keyword matches text in any message Then the system returns a list of all matching messages with each match highlighted and links to the original message
Keyword Search in Attachments
Given a user searches for a term that appears within attached files When attachments contain the term in text or OCR-processed images Then the system lists those attachments with the matching snippet highlighted and direct links to the specific page or section
Instant Indexing of New Messages
Given a user posts a new message containing searchable terms When less than 5 seconds have passed Then the search index includes the new message and it appears in search results for those terms
Highlighted Search Results Navigation
Given a user views search results When the user clicks on a result entry Then the system opens the corresponding message or attachment view with the search term highlighted
Search Performance under Load
Given a thread contains over 1,000 messages When a user performs a search Then the system returns the top 100 relevant results within 2 seconds sorted by recency

Snapshot Share

Enable users to capture, annotate, and share images—such as before-and-after photos or technical schematics—directly within the chat. Inline markup tools allow mechanics to highlight issues and add notes, improving clarity and facilitating rapid troubleshooting.

Requirements

Image Capture and Upload
"As a mechanic, I want to capture or upload photos of aircraft components directly in the chat so that I can quickly document and share visual information without leaving the AeroTrack platform."
Description

Enable users to capture images directly within the chat interface using device camera or upload existing images from local storage. The functionality should automatically compress and format images for optimal performance without sacrificing clarity. It integrates seamlessly into AeroTrack’s messaging system, allowing mechanics to visually document aircraft conditions in real time, reducing reliance on external tools and speeding up issue reporting.

Acceptance Criteria
Capture Image via Device Camera
Given the user is in a chat, When the user selects the camera icon and captures a photo using the device camera, Then the photo is uploaded to the chat within 2 seconds, displayed inline at a maximum resolution of 1080p, and with a file size not exceeding 500 KB.
Upload Image from Local Storage
Given the user is in a chat, When the user selects the upload icon and chooses an existing image from local storage, Then the image is uploaded to the chat within 1 second, displayed inline at native resolution up to 1080p, and with a file size not exceeding 500 KB.
Automatic Image Compression and Formatting
Given an image is captured or uploaded, When the system processes the image, Then it automatically compresses the image to ≤500 KB, converts it to JPEG or PNG format, and maintains a PSNR of ≥30 dB to ensure clarity.
Error Handling for Unsupported Formats
Given the user attempts to upload a non-image file, When the user confirms the upload, Then the system rejects the file, displays an error message stating 'Unsupported file format', and does not attach the file to the chat.
Offline Fallback for Image Capture and Upload
Given the device is offline, When the user captures or selects an image, Then the system queues the image with a 'Pending upload' indicator and automatically uploads it when network connectivity is restored.
Inline Annotation Tools
"As a maintenance supervisor, I want to annotate photos within the chat so that I can highlight problem areas and provide clear instructions to my team."
Description

Provide a suite of annotation tools—such as arrows, text labels, freehand drawing, and shape overlays—that allow users to mark up snapshots inline. Annotations should be editable, color-coded, and resizable, ensuring clear communication of specific areas or issues. This feature integrates with the chat UI, enabling mechanics to highlight defects, point out measurement points, and annotate schematics in context.

Acceptance Criteria
User Adds an Arrow Annotation
- Given a snapshot is open in the chat UI, when the user selects the arrow tool and drags from one point to another, then an arrow annotation appears inline on the snapshot. - The arrow endpoints are draggable to adjust position after creation. - The user can assign or change the arrow’s color via the color palette before or after drawing. - The arrow remains visible and correctly positioned when the snapshot is saved or shared.
User Creates and Edits Text Labels
- Given a snapshot in the chat editor, when the user selects the text label tool and clicks on the image, then a resizable text input box appears at that location. - The user can enter, edit, and delete text content within the label. - The user can change font size, color, and style via the toolbar and see updates in real time. - The text label remains editable and correctly positioned after saving or sharing the annotated snapshot.
User Draws Freehand Annotation
- Given a snapshot loaded in the annotation pane, when the user selects the freehand tool and draws on the image, then a smooth, continuous freehand path is rendered following the cursor. - The user can adjust stroke thickness and color before or after drawing. - The freehand drawing can be moved, resized, or deleted via selection handles. - The annotation persists accurately when the snapshot is shared with other users.
User Applies and Adjusts Shape Overlays
- Given a snapshot displayed in the chat UI, when the user selects a shape overlay (rectangle, circle, arrow), then the default shape appears with draggable corners and edges for resizing. - The user can reposition the shape by dragging its center point. - The user can customize shape border thickness, fill opacity, and color. - Adjustments to the shape are preserved when the annotated snapshot is exported or shared.
User Saves and Shares Annotated Snapshot
- Given one or more annotations applied to a snapshot, when the user clicks the save/share button, then the annotations are flattened into the image and attached to the chat message. - The shared snapshot displays annotations inline in all supported chat clients. - Recipients can view the annotations but cannot edit them unless explicitly reopened in annotate mode. - The system confirms successful share with a notification and log entry.
Snapshot Sharing in Conversations
"As a fleet manager, I want to share annotated snapshots in our conversation so that my team can immediately see and act on visual updates."
Description

Allow annotated or raw snapshots to be shared inline within chat threads. Shared snapshots should display thumbnail previews with the option to expand to full resolution. The system should auto-generate descriptive alt text for accessibility. Integration with notifications ensures recipients are alerted to new images, facilitating rapid troubleshooting and decision making.

Acceptance Criteria
Capture and Annotate Photo Within Chat
Given the user is in an active chat thread When the user clicks the snapshot icon, captures a photo with device camera, and adds annotations using inline markup tools Then a thumbnail preview of the annotated image is displayed inline with the chat message, and descriptive alt text is auto-generated
Expand Thumbnail to Full Resolution
Given a thumbnail preview of a shared snapshot is visible in the chat When the user clicks or taps the thumbnail Then the system opens the image at full resolution in a modal or lightbox, preserving all annotations without distortion
Upload and Share Existing Image
Given the user has selected an image file from local storage or device gallery When the user uploads and shares the image in the chat Then a thumbnail preview is displayed inline, annotations (if added) are visible, and alt text describing the image content is auto-generated
Annotate Schematic and Share
Given the user accesses a previously uploaded technical schematic in a chat When the user applies inline annotations (e.g., arrows, text notes) and shares it Then the annotated schematic appears inline with clear markup visible, and alt text includes description of key annotations
Notification Delivery for New Snapshots
Given a snapshot is shared in a chat thread When the sharing action is completed Then all conversation participants receive a notification alerting them to the new image, including a preview link and message context
Auto-Generated Alt Text for Accessibility
Given any snapshot (raw or annotated) is shared inline When the image is posted Then the system generates and attaches descriptive alt text detailing image content and any user-added annotations to support accessibility
Versioning and History Tracking
"As an auditor, I want to view the version history of snapshots so that I can trace changes and ensure compliance with maintenance standards."
Description

Maintain a version history for each snapshot, capturing original and updated images along with timestamps, annotations, and the author’s identity. Users can view, compare, and revert to previous versions within the chat thread. This historical context ensures audit readiness and traceability for maintenance records.

Acceptance Criteria
Snapshot Version Creation
Given a user captures and saves a new snapshot When the snapshot is committed Then the system generates a version record containing the original image, current timestamp, and the author’s identity and stores initial annotations
Snapshot Version Update
Given an existing snapshot version When the user updates the image or annotations Then the system appends a new version entry with the updated image, new timestamp, and user identity without altering previous versions
Version History Display
Given a chat thread contains snapshots with multiple versions When the user selects a snapshot Then the version history panel displays a chronological list of versions with thumbnails, timestamps, author names, and annotation summaries
Version Comparison
Given a snapshot with multiple versions When the user opts to compare two versions Then the system displays them side by side highlighting pixel differences and annotation changes
Version Revert
Given a snapshot version history When the user selects 'Revert to this version' on a previous version Then the system restores the selected version as the current snapshot and appends a new version entry reflecting the revert action
Secure Storage and Access Control
"As a compliance officer, I want to ensure that only authorized personnel can access maintenance photos so that sensitive data remains secure and audit trails are maintained."
Description

Store all snapshots and annotations in a secure, encrypted repository. Implement role-based access controls so only authorized users can view or edit specific images. Integrate with AeroTrack’s existing authentication system and audit logs to track access events, ensuring data integrity and regulatory compliance.

Acceptance Criteria
Encrypted Snapshot Upload and Retrieval
Given a mechanic uploads a snapshot to the system When the upload request is processed Then the snapshot is encrypted in transit and at rest; And only authorized requests can decrypt and retrieve the snapshot.
Role-Based Access Enforcement
Given a user with a specific role requests access to an annotated image When the system evaluates access controls Then it grants view or edit permissions only if the role includes those privileges; And denies access otherwise.
Authentication Integration
Given a user is not authenticated When they attempt to access the secure snapshot repository Then the system redirects them to AeroTrack’s existing login flow and blocks access until valid credentials are provided.
Audit Log Recording
Given any user views or edits a snapshot When the action completes Then an immutable audit log entry is created with timestamp, user ID, action type, and snapshot ID; And entries cannot be altered or deleted.
Secure Snapshot Sharing Workflow
Given a user shares an annotated snapshot with a team member When the share action is initiated Then the recipient receives a secure link with a time-limited access token; And all subsequent access attempts enforce encryption and role-based permission checks.

Approval Actions

Integrate approval and rejection buttons directly into chat messages, allowing supervisors and compliance guardians to sign off on maintenance steps in real time. Approved actions automatically update task statuses in AeroTrack, streamlining workflows and minimizing administrative delays.

Requirements

In-Chat Approval Buttons
"As a supervisor, I want to approve or reject maintenance steps directly in the chat so that I can sign off quickly without navigating away from the conversation."
Description

Add Approve and Reject buttons directly within maintenance chat messages to allow supervisors and compliance guardians to sign off on individual maintenance steps without leaving the conversation interface. This feature integrates seamlessly with the chat UI, providing clear visual cues and tooltips, and ensures minimal context switching for users. Once an action is taken, a confirmation prompt confirms the choice, and the buttons dynamically update to show the current approval state.

Acceptance Criteria
Supervisor Approves Maintenance Step
Given a maintenance chat message with an unapproved step, when the supervisor clicks the Approve button, then the system updates the step status to 'Approved' and displays a success notification.
Supervisor Rejects Maintenance Step
Given a maintenance chat message with an unapproved step, when the supervisor clicks the Reject button, then the system updates the step status to 'Rejected' and displays a rejection notification.
Confirmation Prompt Appears
Given the supervisor clicks Approve or Reject, when the click is detected, then a confirmation dialog with the message 'Are you sure you want to proceed?' appears before finalizing the action.
Button State Update After Action
Given a maintenance step has been approved or rejected, when the confirmation is confirmed, then the Approve and Reject buttons are disabled and the selected action is highlighted to reflect the current state.
Tooltip Display on Hover
Given the supervisor hovers over the Approve or Reject button, when the pointer is over the button for 500ms, then a tooltip explaining 'Approve this maintenance step' or 'Reject this maintenance step' appears.
Status Update Automation
"As a mechanic, I want task statuses to update automatically when a supervisor approves or rejects work in chat so that I always see the current state of each maintenance step without manual entry."
Description

Automatically synchronize approval or rejection actions from the chat interface with the corresponding task statuses in AeroTrack. When a supervisor clicks Approve or Reject, the system should instantly update the maintenance step’s status to Approved, Rejected, or Pending Follow-Up, and reflect this change in the task history and dashboard. This automation reduces manual updates and ensures real-time accuracy across the platform.

Acceptance Criteria
Supervisor approves maintenance step in chat
Given a supervisor views a maintenance step chat message, When they click the Approve button, Then the system updates the maintenance step status to "Approved" in the database, appends an entry to the task history with the supervisor’s name and timestamp, and displays a confirmation message in the chat.
Supervisor rejects maintenance step in chat
Given a supervisor views a maintenance step chat message, When they click the Reject button, Then the system updates the maintenance step status to "Rejected", prompts the supervisor to enter an optional rejection reason, saves the reason if provided, and appends the action with timestamp and user details to the task history.
Supervisor requests follow-up before approval
Given a supervisor determines a maintenance step needs follow-up, When they click the Request Follow-Up button on the chat message, Then the system updates the status to "Pending Follow-Up", adds a task history entry with the follow-up request details and timestamp, and notifies the responsible mechanic via real-time notification.
Task history shows approval and rejection updates
Given any approval, rejection, or follow-up action is taken via the chat interface, When the task history is queried, Then each action record accurately reflects the action type, responsible user, timestamp, and any accompanying comments or reasons.
Dashboard reflects real-time status updates
Given a maintenance step approval or rejection occurs, When the chat action completes, Then the AeroTrack dashboard updates the step’s status in real-time within 2 seconds without requiring a manual page refresh, and visually highlights the updated status.
Role-Based Access Control
"As a compliance administrator, I want to assign approval permissions based on user roles so that only qualified staff can authorize maintenance steps."
Description

Implement granular permission settings to control which user roles can approve or reject maintenance actions in chat. Define roles such as Supervisor, Compliance Guardian, and Mechanic, each with specific approval capabilities. Permissions should be configurable by administrators, ensuring that only authorized personnel can sign off on critical maintenance tasks, thereby maintaining compliance and accountability.

Acceptance Criteria
Supervisor Approval Permission
Given a user with Supervisor role is viewing a pending maintenance action in chat When the Supervisor clicks the Approve button Then the maintenance action status is updated to Approved And the task status in AeroTrack reflects the approval And a confirmation notification is displayed to the Supervisor
Mechanic Unauthorized Approval Attempt
Given a user with Mechanic role is viewing a pending maintenance action in chat When the Mechanic attempts to click the Approve or Reject button Then the buttons are disabled or hidden And the Mechanic receives an unauthorized access message
Compliance Guardian Rejection Action
Given a user with Compliance Guardian role is viewing a pending maintenance action in chat When the Compliance Guardian clicks the Reject button Then the action status is updated to Rejected And the system prompts the Compliance Guardian to enter a mandatory rejection comment And the task status in AeroTrack reflects the rejection with the provided comment
Administrator Permissions Configuration
Given an Administrator accesses the Role-Based Access Control settings page When the Administrator grants or revokes approve/reject permissions for any role (Supervisor, Compliance Guardian, Mechanic) Then the permission changes are saved successfully And the updated permissions take effect immediately And the system displays a confirmation message
Audit Logging of Approval Actions
Given any user with approval or rejection permissions completes an approval action in chat When the action is executed (Approve or Reject) Then an audit log entry is generated containing user ID, role, action type (approve/reject), timestamp, and chat message ID And the audit entry is accessible in the AeroTrack audit trail for compliance review
Audit Trail Logging
"As an auditor, I want a detailed log of all approval and rejection actions so that I can verify compliance and trace decision history."
Description

Record every approval and rejection action in an immutable audit log, capturing details such as user ID, timestamp, action type, and associated maintenance step. The audit trail should be easily accessible via the AeroTrack interface and exportable for compliance reporting. This requirement ensures full traceability of decisions and supports regulatory audits and internal reviews.

Acceptance Criteria
Supervisor Approval via Chat
Given a supervisor views a maintenance step in the AeroTrack chat interface When the supervisor clicks the “Approve” button Then the system records an audit entry with the supervisor’s user ID, current timestamp, action type “Approval,” and maintenance step ID
Supervisor Rejection via Chat
Given a supervisor views a maintenance step in the AeroTrack chat interface When the supervisor clicks the “Reject” button and provides a rejection comment Then the system records an audit entry with the supervisor’s user ID, current timestamp, action type “Rejection,” maintenance step ID, and rejection comment
Audit Log Record Accuracy
Given any approval or rejection action occurs When the audit entry is created Then the stored entry must exactly match the user ID, timestamp at action time, action type, maintenance step ID, and comment (if any)
Audit Log Accessibility
Given a maintenance manager accesses the AeroTrack dashboard When they navigate to the Audit Trail section Then they can view a paginated list of all audit entries with filters for date range, user, action type, and maintenance step
Audit Log Export Capability
Given a maintenance manager filters the audit entries When they click the “Export” button Then the system generates a downloadable file (CSV or PDF) containing all visible entries matching the filter criteria
Real-Time Approval Notifications
"As a mechanic, I want to receive real-time notifications when my maintenance steps are approved or rejected so that I can proceed with the next steps without delay."
Description

Send immediate in-app and optional email or push notifications to relevant users when a maintenance step is approved or rejected in chat. Notifications should include the task ID, action taken, approver name, and any comments. This ensures that mechanics and managers are promptly informed of decisions, enabling faster follow-up and minimizing downtime.

Acceptance Criteria
In-App Approval Notification Sent
Given a maintenance step is approved in chat, When the supervisor clicks 'Approve', Then an in-app notification is sent to the mechanic containing the task ID, action taken, approver name, and any comments.
Email Notification Delivery
Given email notifications are enabled for the mechanic, When a maintenance step is approved or rejected in chat, Then an email is delivered within 30 seconds including the task ID, action taken, approver name, and any comments.
Push Notification Reception
Given push notifications are enabled on the mechanic’s device, When a maintenance step status changes in chat, Then a push notification appears displaying the task ID, action taken, approver name, and any comments.
Notification Content Accuracy
Given any notification channel, When a notification is received, Then the content must exactly match the task ID, action taken (approved/rejected), full name of the approver, and the comment text without truncation.
Link to Task Details from Notification
Given a notification is received, When the user clicks on the notification, Then the application opens directly to the relevant task details page for the task ID included in the notification.
Mobile Approval UI
"As a fleet manager working in the hangar, I want to approve maintenance actions from my mobile device so that I can sign off on tasks even when I’m away from my desk."
Description

Optimize the approval and rejection buttons and associated dialogs for AeroTrack’s mobile interface, ensuring responsive design and usability on smartphones and tablets. The mobile UI should maintain feature parity with desktop, including confirmation modals and status updates, to support field-based supervisors and mechanics who rely on mobile devices for approvals.

Acceptance Criteria
Supervisor accesses approval interface on smartphone
Given a supervisor is logged into the AeroTrack mobile app When they navigate to a pending maintenance step Then the approval and rejection buttons are visible, tappable, and labeled correctly
Mechanic rejects a task via tablet
Given a mechanic views a maintenance task on a tablet When the mechanic taps the “Reject” button Then a confirmation modal appears asking for rejection reason and the “Confirm” button remains disabled until text is entered
Supervisor confirms an approval action
Given a supervisor taps the “Approve” button on mobile When the confirmation modal appears Then the modal displays task details and both “Confirm” and “Cancel” buttons and the “Confirm” button changes status to “Approved” after tap
Real-time status update reflects across devices
Given a supervisor approves a task on mobile When the action is confirmed Then the task status updates to “Approved” instantly on both mobile and desktop dashboards without page refresh
UI adapts to varied mobile screen sizes
Given the AeroTrack mobile approval interface on screens ranging from 4.7" to 12.9" When the UI loads Then all buttons, text, and modals are fully visible without overlap or horizontal scrolling

Role Mentions

Support @mentions for specific team roles (e.g., @LeadMechanic, @SafetyInspector), with context-rich notifications sent to the right stakeholders. This feature ensures that critical updates and requests grab the attention of appropriate personnel, boosting accountability and collaboration.

Requirements

Role Mention Syntax Recognition
"As a maintenance mechanic, I want to mention @LeadMechanic in a task comment so that they are alerted to review my work plan."
Description

The system should detect and parse @RoleName patterns in comments and task descriptions, identifying mentions whenever a user types “@” followed by a valid role identifier to ensure accurate recognition across the application.

Acceptance Criteria
Comment Contains Valid Role Mention
Given a user includes @LeadMechanic in a comment When the comment is submitted Then the system parses the text, recognizes @LeadMechanic as a valid role mention, and highlights the mention in the comment
Task Description Contains Valid Role Mention
Given a user includes @SafetyInspector in a task description When the task is saved Then the system identifies @SafetyInspector as a role mention and triggers a context-rich notification to all users with the SafetyInspector role
Role Mention with Adjacent Punctuation
Given a user writes “Please review, @QualityControl.” with a trailing period When the comment is submitted Then the system recognizes @QualityControl as a role mention and highlights it correctly despite the punctuation
Multiple Role Mentions in Single Comment
Given a comment contains @LeadMechanic and @SafetyInspector When the comment is submitted Then the system recognizes both mentions and sends separate notifications to each role
Invalid Role Mention is Ignored
Given a user types @LeadMechanicX which is not a valid role When the comment is submitted Then the system does not recognize it as a role mention and does not trigger any notification
Role Validation and Auto-completion
"As a user, I want auto-completion for role mentions so that I can accurately tag the correct stakeholder without knowing the exact role name."
Description

Provide real-time validation of role mentions with an auto-complete dropdown listing available roles as the user types, reducing errors and ensuring accurate tagging of stakeholders.

Acceptance Criteria
Auto-complete Suggestion Display
Given a user types “@” followed by at least one character, when matching roles exist, then a dropdown appears displaying up to 10 matching roles in real time, sorted alphabetically.
Role Validation on Mention Submission
Given a user manually enters “@RoleName” without selecting from suggestions, when the message is submitted, then the system rejects invalid mentions and highlights unrecognized role names with an error prompt.
Dropdown Updates with New Roles
Given an administrator adds a new role to the system, when a user types “@” and the new role’s prefix, then the new role appears immediately in the auto-complete suggestions without a page refresh.
Handling No-match Inputs
Given a user types “@” followed by characters that match no roles, when 300ms of inactivity passes, then the dropdown displays “No roles found” and offers no selectable entries.
Keyboard Navigation of Suggestions
Given the auto-complete dropdown is visible, when the user presses the down or up arrow keys to highlight a role and then presses Enter, then the highlighted role is inserted into the text at the cursor location as a valid mention.
Contextual Notification Dispatch
"As a project manager, I want role mentions to trigger notifications to the assigned team members so that they receive timely alerts when their input is needed."
Description

When a role is mentioned, automatically send a context-rich notification—including the mention excerpt and link to the task—to all users assigned that role, ensuring timely awareness and response.

Acceptance Criteria
Lead Mechanic Mention Notification
Given a user posts a comment on a maintenance task containing “@LeadMechanic” When the comment is saved Then every user with the LeadMechanic role receives a notification within 5 seconds containing the comment excerpt and a clickable link to the task
Safety Inspector Mention Alert
Given a SafetyInspector role member is mentioned in a task update using “@SafetyInspector” When the update is published Then all users assigned the SafetyInspector role receive a context-rich notification including the mention text and direct task link
Multiple Role Mentions in Single Comment
Given a comment includes “@LeadMechanic” and “@SafetyInspector” When the comment is posted Then users in both roles receive separate notifications each containing the relevant excerpt and the task URL
Invalid Role Mention Handling
Given a comment contains an @mention for a non-existent role When the comment is submitted Then the system does not send notifications and displays an inline warning indicating the role does not exist
Notification Deduplication
Given a user is assigned multiple instances of the same role and is mentioned once as “@LeadMechanic” When the mention occurs Then the user receives only one notification for that mention event
Notification Preferences and Controls
"As an inspector, I want to customize my mention notification preferences so that I only receive alerts via my preferred channel and avoid unnecessary interruptions."
Description

Enable users to configure mention notification settings by role and channel (in-app, email, SMS), offering granular controls to manage alert frequency and avoid notification overload.

Acceptance Criteria
Configuring Role-Based In-App Notifications
Given the user navigates to Notification Preferences, when they select the @LeadMechanic role and enable the In-App channel, then any subsequent @LeadMechanic mention generates an in-app notification containing the mention context within 5 seconds.
Adjusting Email Notifications Frequency
Given the user selects the @SafetyInspector role and sets the Email channel to 'Daily Digest', when mentions of @SafetyInspector occur, then the system aggregates all mentions into a single email sent at 6:00 PM local time.
Disabling SMS Alerts for a Specific Role
Given the user disables SMS notifications for the @MaintenanceCoordinator role, when a mention of @MaintenanceCoordinator is made, then no SMS is sent while other enabled channels continue to notify as configured.
Verifying Default Notification Settings on New Role Onboarding
Given a new role @QualityAssurance is added to the system, when the user opens Notification Preferences for that role, then the default channel settings are In-App: On, Email: Off, SMS: Off.
Preference Persistence Across Sessions
Given the user has configured and saved notification settings for any role, when they log out and later log back in, then the previously saved preferences are displayed accurately and applied to new mentions.
Mention Activity Log
"As a compliance officer, I want to view an audit log of all role mentions so that I can verify that critical communications were sent and received as required."
Description

Maintain an audit trail of all role mentions with details such as timestamp, author, context link, and resolved recipients, accessible for compliance reporting and audit readiness.

Acceptance Criteria
Logging Role Mentions
Given an authorized user mentions a role in a comment, When the comment is submitted, Then the system logs an entry containing timestamp, author ID, mentioned role, context link, and recipient list.
Retrieving Mention Activity Log
Given a user with audit permissions, When they navigate to the Mention Activity Log section and filter by date range, Then the system displays all matching log entries in chronological order.
Exporting Mention Audit Reports
Given an audit-ready request, When a user selects export for a specified date range and format, Then the system generates and downloads a CSV file containing all log entries with correct fields.
Validating Timestamp Accuracy
Given a role mention event occurs, When the log entry is created, Then the timestamp recorded matches the system’s UTC clock within +/- 2 seconds.
Tracking Resolved Recipients
Given a role mention has been read and acknowledged by all relevant users, When the mention is marked resolved, Then the log entry updates to include resolution timestamp and recipient acknowledgement status.

Audit Archives

Automatically archive all chat conversations and embed them into the corresponding maintenance records, complete with timestamps and user IDs. This preserved dialogue forms a compliant audit trail that simplifies reviews and validation by auditors, ensuring regulatory readiness.

Requirements

Chat Conversation Capture
"As an aircraft mechanic, I want all chat conversations captured automatically so that I can ensure every discussion about maintenance tasks is archived without extra effort."
Description

Automatically intercept and archive all chat conversations within AeroTrack, ensuring each message is preserved in real time and stored securely. The feature captures chat content, metadata, and session context, integrating seamlessly into the maintenance record workflow to eliminate manual logging. It enhances accountability, reduces human error, and forms the basis for a complete audit trail that meets regulatory standards.

Acceptance Criteria
Real-Time Chat Capture During Maintenance Discussion
Given a user sends a chat message during a maintenance session, when the message is sent, then the system captures the message content, timestamp, user ID, and session context and stores it in the maintenance record within 2 seconds.
Secure Storage and Retrieval of Chat Logs
Given archived chat logs exist, when an authorized user requests a chat history for a specific maintenance record, then the system retrieves and displays the complete log with all metadata, ensuring data integrity with checksum validation.
Metadata and Timestamp Accuracy Verification
Given multiple chat messages sent in quick succession, when archived, then each message retains the correct timestamp and user ID metadata, and the sequence of messages matches the order of sending.
Integration into Maintenance Record Workflow
Given a maintenance record is viewed, when the chat archive section is accessed, then all related chat conversations are displayed in-line within the maintenance record with proper sorting and search functionality.
Regulatory Audit Trail Generation
Given an auditor requests a compliance report, when the system generates the audit trail, then it includes all archived chat conversations with full metadata, and exports the data in a compliant PDF and CSV format.
Timestamp Integrity Verification
"As an audit manager, I want each chat message to include a tamper-evident timestamp so that I can trust the accuracy and authenticity of the maintenance communication timeline."
Description

Embed precise, immutable timestamps for every archived chat message, preventing post-hoc alterations and ensuring chronological accuracy. This requirement specifies the use of a synchronized server clock, cryptographic hashing, and tamper-evident logs to maintain integrity. It provides auditors with confidence in the timeline of communications and guards against disputes over when specific instructions were given.

Acceptance Criteria
Message Timestamp Assignment
Given a chat message is archived When it is saved Then the system attaches a timestamp matching the synchronized server time to the message metadata
Hash Integrity Validation
Given archived messages When retrieving logs for audit Then each message’s content and timestamp hash matches the stored cryptographic hash record
Server Clock Synchronization Verification
Given the server’s NTP synchronization process When synchronization completes Then the server time offset to UTC does not exceed 1 second
Tamper-Evident Log Generation
Given the log file is created When any entry is modified Then the system detects a hash mismatch and flags the log as tampered
Audit Trail Chronological Order Enforcement
Given multiple archived messages When displaying the audit log Then messages are ordered by timestamp ascending with no gaps or overlaps
User ID Embedding
"As a fleet manager, I want each archived chat message to be tagged with the sender's and recipient's user IDs so that I can track who communicated which instructions."
Description

Associate each archived chat entry with a unique user ID, capturing the identity of the sender and recipient. This embeds user credentials into the audit log, linking actions to specific mechanics or managers. It enhances traceability, supports accountability, and helps satisfy regulatory requirements for identity verification in maintenance records.

Acceptance Criteria
Chat Archival with User ID Association
Given a chat conversation between users, when the conversation is archived, then each archived message record includes senderUserId and recipientUserId fields correctly populated with the unique IDs of the sender and recipient.
Verification of User ID Format in Audit Logs
Given an archived chat entry in the maintenance record, when reviewing the audit log, then the userId values conform to the organization's UUID format and are present for all entries.
Search and Filter by User ID
Given an auditor searches the audit archive by a specific userId, when the search query is executed, then all chat entries where senderUserId or recipientUserId matches the queried ID are returned within 2 seconds.
Export Audit Trail with User IDs
Given a user exports the maintenance record including chat archives, when the export process completes, then the exported document contains userId fields alongside each chat entry with accurate timestamps and IDs.
Error Handling for Missing or Invalid User IDs
Given a chat message lacks a valid userId during archiving, when the system processes the archive, then the system logs an error and flags the entry for manual review without omitting any chat content.
Maintenance Record Linking
"As a small fleet manager, I want chat archives linked directly to specific maintenance records so that I can review all related conversations in the context of each job."
Description

Automatically attach archived chat logs to their corresponding maintenance records based on aircraft ID, work order number, or job ticket. The system cross-references metadata to ensure that each conversation is embedded in the correct record, providing a unified view of tasks, approvals, and discussions. This integration streamlines audits by presenting a cohesive maintenance history.

Acceptance Criteria
Valid Aircraft ID Matching
Given an archived chat log with a valid aircraft ID, when the system processes the log, then the log is automatically attached to the maintenance record for that aircraft ID with timestamps and user IDs preserved.
Work Order Number Cross-Reference
Given a chat conversation tagged with a work order number, when the archiving function runs, then the system cross-references the work order and attaches the conversation to the correct maintenance record where the work order exists.
Multiple Metadata Identifiers
Given a chat log containing both aircraft ID and job ticket number metadata, when processed, then the system prioritizes aircraft ID matching and attaches the log to the maintenance record, preventing duplicate attachments.
Invalid Metadata Handling
Given a chat log with missing or invalid metadata, when the system attempts to attach it, then the log is flagged in the audit archive queue for manual review and an error notification is sent to the administrator.
High-Volume Bulk Import
Given a batch of 1000 archived chat logs, when the system processes the batch, then all logs are correctly linked to their respective maintenance records within 10 minutes without failures or performance degradation beyond 5%.
Audit Trail Search and Export
"As a compliance officer, I want to search and export chat archives by various criteria so that I can quickly compile audit reports and demonstrate regulatory adherence."
Description

Implement a robust search and export interface for archived chat logs, allowing users to query by date range, aircraft ID, user ID, or keywords. Exports support multiple formats (PDF, CSV, JSON) and include full metadata to facilitate compliance reviews and external audits. This capability speeds up investigations, reduces manual effort, and ensures audit-ready reporting at any time.

Acceptance Criteria
Search Archived Logs by Date Range
Users can select a start date and end date; only logs with timestamps within the inclusive range are returned; results are displayed in chronological order.
Filter Logs by Aircraft ID and User ID
Users can enter Aircraft ID and/or User ID filters; search returns only logs matching the provided IDs; if both filters are specified, results include only logs matching both criteria.
Keyword Search within Chat Logs
Users can input a keyword to search within message content; search returns logs containing the keyword in any chat field; search is case-insensitive and supports partial matches.
Export Search Results in Multiple Formats
Users can choose export format (PDF, CSV, JSON); exported file contains all displayed search results; download begins automatically and file name follows pattern ‘AuditLogs_<timestamp>.<extension>’.
Metadata Inclusion in Exported Reports
Exports include full metadata: timestamp, userID, aircraftID, message IDs, and export generation metadata; metadata fields are correctly labeled and accurately populated for each log entry.

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AeroTrack Launches SkyGuard Sentinel to Spot Engine Irregularities Mid-Flight

Imagined Press Article

LOS ANGELES, CA – 2025-07-19 – AeroTrack, a leading innovator in digital aircraft maintenance solutions, today announced the launch of SkyGuard Sentinel, an advanced in-flight vibration analysis feature designed to detect engine anomalies in real time. SkyGuard Sentinel continuously streams vibration metrics from onboard sensors into the AeroTrack platform, providing maintenance teams with live visual graphs, severity codes, and actionable alerts to address potential issues before they become critical. In the fast-paced world of aviation maintenance, unscheduled downtime can ground aircraft and disrupt operations. SkyGuard Sentinel addresses this challenge by delivering continuous in-flight monitoring of vibration patterns, enabling mechanics, fleet managers, and safety inspectors to respond proactively to irregularities. By integrating seamlessly with AeroTrack’s intuitive dashboard, SkyGuard Sentinel transforms raw sensor data into clear, color-coded alerts and prioritized work orders. "Our customers have been seeking a reliable way to catch engine issues in the air before they force an aircraft to land unexpectedly," said Riley Saunders, CEO of AeroTrack. "With SkyGuard Sentinel, we’re empowering maintenance teams with the visibility they need to intervene early, schedule targeted inspections, and keep every aircraft on time and in service." Key features of SkyGuard Sentinel include: • Live Vibration Stream: Continuous data flow from each engine’s vibration sensors into AeroTrack’s cloud platform, eliminating the latency of manual data downloads. • Severity-Based Alerts: Color-coded notifications—green for normal, amber for moderate, red for critical—sent via email, SMS, or in-app messages to the right personnel. • AutoSchedule Inspection: Intelligent task creation that automatically generates inspection work orders when vibration thresholds are exceeded and assigns them to qualified mechanics based on availability. • Adaptive Threshold Engine: AI-driven customization of vibration limits tailored to each aircraft model’s unique operational profile, minimizing false alarms while catching true anomalies. Early adopters report significant operational gains. Independent mechanic Sandra Lee, founder of Lee Aviation Repairs, says, "Before SkyGuard Sentinel, I relied on periodic ground checks and pilot reports. Now I get real-time alerts at the first sign of abnormal vibration. I’ve caught issues mid-flight that would have cost days of unplanned downtime." Fleet managers also appreciate the cost-saving potential. "We oversee a charter fleet of eight turboprops. SkyGuard Sentinel has helped us reduce unscheduled maintenance events by 40%," said Javier Morales, Maintenance Director at Pacific Wings Charters. "The automated alerts and scheduling features mean our team can act immediately, keeping our schedule intact and our clients happy." SkyGuard Sentinel integrates effortlessly with AeroTrack’s existing modules, including Predictive Wear Forecast and VibeScan Live Monitor. Data shared across features refines AeroTrack’s machine learning models, improving anomaly detection accuracy over time. Maintenance organizations can view historical vibration trends, correlate them with repair actions, and predict component lifecycles more precisely. Availability SkyGuard Sentinel is available immediately to all AeroTrack subscribers at no additional charge through July 31, 2025. After the introductory period, the feature will be included in the AeroTrack Advanced Analytics package, priced competitively to ensure accessibility for independent mechanics and small fleet operators. About AeroTrack AeroTrack streamlines aircraft maintenance for independent mechanics, small fleet managers, and regulatory specialists by centralizing logbooks, compliance tracking, and task histories in one intuitive dashboard. Teams eliminate paperwork headaches, slash downtime, and stay audit-ready with automated recordkeeping. Founded in 2021, AeroTrack serves thousands of aviation professionals across general aviation, charter, and corporate flight departments. Press Contact Morgan Patel Head of Communications, AeroTrack morgan.patel@aerotrack.com (310) 555-7890 www.aerotrack.com

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AeroTrack Unveils GroundedSync Suite to Empower Offline Maintenance Worldwide

Imagined Press Article

MIAMI, FL – 2025-07-19 – AeroTrack today unveiled GroundedSync Suite, a comprehensive offline maintenance solution designed to keep aircraft maintenance teams productive and audit-ready no matter where they operate. With GroundedSync Suite, mechanics working in remote locations, isolated hangars, or regions with unreliable connectivity can log critical maintenance entries, scan parts, capture attachments, and synchronize data automatically when a network connection is available. AeroTrack’s research shows that up to 30% of maintenance tasks occur in areas with poor or intermittent internet service, leading to delays, data discrepancies, and compliance gaps. GroundedSync Suite directly addresses these challenges by bringing the power of AeroTrack’s cloud platform to offline environments. GroundedSync Suite includes four core components: • Offline TagSync Scanner: Enables technicians to scan IoT-tagged parts and record usage metrics without connectivity. Data queues locally and syncs automatically when online, ensuring accurate lifecycle tracking. • QuickLog Mode: Prioritizes essential maintenance fields and auto-fills repetitive data, allowing rapid entry of logbook updates in seconds. • SmartConflict Resolver: Detects discrepancies between offline entries and cloud records, highlights conflicts, and proposes merge suggestions to maintain data integrity. • DeltaSync Optimizer: Minimizes bandwidth use by syncing only modified records and attachments, accelerating upload times and reducing data costs. "Mechanics in remote environments have historically faced a daily struggle: perform critical maintenance tasks and hope data entered offline syncs correctly later," said Avery Chang, Chief Product Officer at AeroTrack. "GroundedSync Suite removes that uncertainty. Teams can trust that every log entry, photo, and parts scan will align perfectly with their central records once back online." Independent mechanic Noah Thompson, who services aircraft in Alaska’s bush country, participated in AeroTrack’s beta program. "I often work on airstrips with zero cell service. The Offline TagSync Scanner and QuickLog Mode have been lifesavers—literally. I can focus on getting planes back in the air safely, and AeroTrack handles the rest when I return to range." Key benefits of GroundedSync Suite: • Increased Productivity: Eliminate the need to wait for connectivity, reducing maintenance backlogs by up to 50%. • Enhanced Compliance: Ensure every offline entry is captured, conflict-resolved, and integrated into audit trails for seamless regulatory reporting. • Data Integrity: SmartConflict Resolver eliminates duplicate or overwritten records, preserving a single source of truth. • Bandwidth Efficiency: DeltaSync Optimizer cuts data transfer volumes by up to 80%, making AeroTrack viable even on limited satellite connections. GroundedSync Suite integrates with existing AeroTrack modules such as AutoSchedule Inspections and Predictive Wear Forecast, enriching data continuity across the entire maintenance lifecycle. As mechanics log findings offline, AeroTrack’s machine learning models refine their predictions, delivering progressively more accurate maintenance forecasts. Availability GroundedSync Suite is available immediately to AeroTrack Professional and Enterprise subscribers. For a limited time, AeroTrack is offering a 20% discount on upgrade fees for current subscribers who activate GroundedSync Suite by September 30, 2025. About AeroTrack AeroTrack streamlines aircraft maintenance for independent mechanics, small fleet managers, and regulatory specialists by centralizing logbooks, compliance tracking, and task histories in one intuitive dashboard. Teams eliminate paperwork headaches, slash downtime, and stay audit-ready with automated recordkeeping. Founded in 2021, AeroTrack serves thousands of aviation professionals worldwide. Press Contact Elena Ruiz Director of Public Relations, AeroTrack elena.ruiz@aerotrack.com (305) 555-3421 www.aerotrack.com

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AeroTrack Introduces CrewSync Chat for Real-Time Maintenance Collaboration and Audit Readiness

Imagined Press Article

CHICAGO, IL – 2025-07-19 – AeroTrack today announced the launch of CrewSync Chat, an integrated real-time communication tool built directly into the AeroTrack maintenance platform. CrewSync Chat empowers maintenance teams to collaborate on tasks, share annotated images, request approvals, and preserve a fully compliant audit trail—all within the context of specific maintenance jobs. Effective communication is the cornerstone of efficient maintenance operations. Yet many teams rely on fragmented tools—emails, text messages, paper notes—that can lead to lost information, delayed responses, and incomplete records. CrewSync Chat consolidates all task-related discussions, documents, and approval actions into a unified thread that lives alongside the maintenance record. Key features of CrewSync Chat include: • Task Threads: Dedicated chat rooms linked to individual work orders, ensuring that every conversation, photo, and document is organized by task. • Snapshot Share: Capture and annotate before-and-after photos or technical schematics within the chat interface, streamlining troubleshooting and peer review. • Approval Actions: Supervisors and compliance guardians can approve or reject maintenance steps with a single click. Approved actions automatically update task statuses and compliance checkpoints in AeroTrack. • Role Mentions: Use @mentions for specific roles—@LeadMechanic, @SafetyInspector, @ComplianceGuardian—to direct messages and escalate issues to the right stakeholders. • Audit Archives: All chat conversations are time-stamped, user-tagged, and embedded into the official maintenance record, creating a verifiable audit trail that meets regulatory requirements. "Maintenance is a team sport, and everyone from the apprentice technician to the compliance specialist needs to stay in sync," said Taylor Nguyen, VP of Engineering at AeroTrack. "CrewSync Chat ensures that no message or critical detail falls through the cracks. And because every conversation becomes part of the permanent record, auditors and managers gain unparalleled visibility into the decision-making process." Maintenance Coordinator Casey Morales of Horizon Aero Services participated in AeroTrack’s pilot program. "CrewSync Chat has completely changed how our multi-hangar team operates. When a part fails, our mechanics instantly share photos, discuss root causes, and get sign-off from our compliance guardian—all before the aircraft even reaches the hangar door. It’s a game changer for uptime." Benefits of CrewSync Chat: • Accelerated Issue Resolution: Reduce time to repair by up to 35% with instant collaboration and in-context document sharing. • Streamlined Approvals: Approval Actions eliminate paper sign-offs and separate email threads, cutting administrative delays. • Enhanced Accountability: Role Mentions ensure the right individuals receive notifications and can be held accountable for responses. • Audit Confidence: Built-in Audit Archives simplify compliance reviews and internal audits, reducing preparation time by up to 50%. CrewSync Chat integrates seamlessly with AeroTrack’s existing feature set, including QuickLog Mode for rapid offline entries, ZoomLens for detailed audit timeline views, and Predictive Wear Forecast for data-driven maintenance planning. The result is a single, cohesive ecosystem where communication, compliance, and analytics converge. Availability CrewSync Chat is available immediately to all AeroTrack Enterprise subscribers. AeroTrack is offering an introductory waiver of chat activation fees for customers who upgrade by August 31, 2025. About AeroTrack AeroTrack streamlines aircraft maintenance for independent mechanics, small fleet managers, and regulatory specialists by centralizing logbooks, compliance tracking, and task histories in one intuitive dashboard. Teams eliminate paperwork headaches, slash downtime, and stay audit-ready with automated recordkeeping. Founded in 2021, AeroTrack serves thousands of aviation professionals across multiple continents. Press Contact Jamal Patterson Head of Global Communications, AeroTrack jamal.patterson@aerotrack.com (773) 555-2187 www.aerotrack.com

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