PlanFusion

Real-Time Alerts

Instantly notifies project managers when predictive analytics detect potential schedule disruptions, enabling immediate course corrections to maintain timeline accuracy.

Requirements

Disruption Detection Alert

"As a project manager, I want to receive immediate notifications of potential schedule disruptions so that I can quickly address issues and prevent project delays."

Description

Notify project managers instantly when predictive analytics detect deviations in the project's schedule, ensuring that potential delays or disruptions are communicated immediately. This requirement is crucial for allowing swift course corrections, minimizing the impact on overall project timelines and costs.

Acceptance Criteria

Early Disruption Warning

Given the predictive analytics engine detects a deviation in the schedule that surpasses a 10% threshold, When the deviation is identified, Then a real-time alert must be immediately displayed on the project manager's dashboard.

Threshold Customization Alert

Given the project manager customizes alert thresholds within the system settings, When project metrics exceed these personalized thresholds, Then a real-time alert must be triggered and sent to the project manager without delay.

Mobile Notification Alert

Given an alert is generated by the system, When the project manager is active on the move, Then the alert should be pushed to the project manager's registered mobile device as well as the desktop dashboard, ensuring immediate notification.

Detailed Alert Information

"As a project manager, I want alerts that include detailed information about disruptions so that I can understand the issue immediately and plan an appropriate response."

Description

Provide comprehensive details within each alert including the predicted disruption type, estimated impact, and recommended corrective actions. Enhancing alerts with actionable insights empowers project managers to make informed decisions rapidly, thereby improving project control.

Acceptance Criteria

Detailed Alert Display

Given a potential schedule disruption is detected, when an alert is triggered, then the alert must display the predicted disruption type, estimated impact, and recommended corrective actions.

Actionable Insights Clarity

Given that an alert is received, when a project manager reviews the alert details, then all necessary components (disruption type, impact, and corrective actions) are clearly and accurately presented.

Dashboard Integration Notification

Given the alert system is integrated with the project management dashboard, when an alert is generated, then comprehensive alert information should be immediately visible and accessible through a dedicated summary component.

Alert History and Analytics

"As a project manager, I want to access a history of alerts and outcomes so that I can analyze trends and refine our predictive analytics for better project management."

Description

Maintain an accessible log of all real-time alerts along with key metrics on their accuracy and resolution. This requirement integrates with the dashboard to offer historical insights, helping project managers analyze trends, refine predictive models, and improve future alert precision.

Acceptance Criteria

Alert Log Accessibility

Given that a project manager accesses the dashboard, when they click on the 'Alert History' tab, then they must see a list of all historical alerts including timestamp, alert type, and resolution status.

Alert Metrics Integrity

Given that alerts are generated in real-time, when a new alert is processed, then its key metrics (accuracy, resolution time, and alert type) must be recorded and immediately visible in the log.

Historical Trend Analysis

Given that the alert history is accessible, when project managers apply filters such as date range or alert type, then the dashboard should display trend analytics and performance charts based on the filtered criteria.

Predictive Model Insights

Given that the historical alert data is available, when project managers access the analytics dashboard, then data must be aggregated to provide insights on predictive model performance including alert success rates and false alarm ratios.

Data Export Capability

Given that alerts are logged, when a project manager selects the export function, then the complete alert history including all key metrics should be downloadable in CSV format without any formatting issues.

Dynamic Rescheduler

An automated tool that analyzes predictive data to suggest optimized schedule adjustments, ensuring workforce coordination is continuously aligned with project demands.

Requirements

Predictive Data Integration

"As a construction project manager, I want the system to integrate predictive data so that I can make informed scheduling decisions that minimize delays and reduce costs."

Description

Incorporate historical and real-time project data into the dynamic rescheduler tool to drive predictive analytics, ensuring the system recommends optimized schedule adjustments that reflect both current conditions and anticipated trends.

Acceptance Criteria

Historical Data Import

Given valid access to historical project data, when the dynamic rescheduler initializes, then the system must import and integrate the data successfully into the prediction engine.

Real-Time Data Synchronization

Given an active real-time data feed, when new data is detected, then the system must automatically update the predictive analytics model in under 5 seconds.

Predictive Analysis Accuracy

Given a mixed dataset of historical and real-time data, when the dynamic rescheduler calculates schedule adjustments, then predictions must reflect anticipated project trends with at least 85% accuracy.

Optimized Schedule Recommendation

Given dynamic project conditions, when the rescheduler suggests a schedule adjustment, then the recommendation must optimize resource allocation and align with workforce availability rules.

Error Handling and Data Validation

Given invalid or incomplete input data, when the dynamic rescheduler attempts data integration, then the system shall reject the data and notify the user with a clear error message without impacting current operational data.

Automated Schedule Optimization

"As a construction project manager, I want the system to automatically optimize schedules so that workforce coordination remains efficient and project timelines are met."

Description

Develop an automated scheduling algorithm that continuously analyzes predictive data and current workforce assignments to generate optimized schedule adjustments, balancing resource constraints and reducing project delays.

Acceptance Criteria

Real-time Workforce Adjustment

Given current workforce assignments and predictive data, when the algorithm runs, then the system should generate schedule adjustments within 2 minutes that balance resource constraints.

Optimized Schedule Notification

Given an optimized schedule adjustment, when a project manager logs in, then the system should display a notification highlighting suggested changes with actionable details.

Predictive Analytics Driven Adjustment Validation

Given a set of predictive analytics inputs and historical data, when the algorithm determines adjustments, then the optimization must reduce predicted project delays by at least 20% compared to the original forecast.

Resource Constraint Handling

Given resource constraints like available labor and equipment, when generating schedule adjustments, then the algorithm must prioritize adjustments that maximize resource utilization while reducing labor costs by at least 15%.

Real-Time Adjustment Notifications

"As a construction project manager, I want to receive immediate notifications about schedule deviations so that I can quickly address potential issues and keep the project on track."

Description

Implement a real-time alert system that notifies project managers when significant schedule deviations are detected, enabling prompt review and approval of schedule adjustments recommended by the dynamic rescheduler.

Acceptance Criteria

Immediate Alert Delivery

Given a project manager is logged into PlanFusion, when predictive analytics detects a schedule deviation beyond the defined threshold, then the system must trigger and display a real-time alert on the dashboard and send an accompanying notification via email and mobile app.

Deviation Severity Confirmation

Given a schedule deviation is flagged, when the deviation exceeds a critical severity level, then the system must require the project manager to explicitly review and confirm the deviation before implementing any suggested schedule adjustments.

Alert Acknowledgment Logging

Given that a real-time alert has been sent, when the project manager acknowledges the alert, then the system must record the acknowledgment with a timestamp and update the alert status accordingly.

Multi-channel Notification

Given a critical schedule deviation, when the system identifies it as significant, then the alert must be simultaneously delivered via push notification, SMS, and email to ensure immediate awareness across all channels.

User-Friendly Reschedule Interface

"As a construction project manager, I want an easy-to-use interface for schedule adjustments so that I can quickly review and implement changes without disrupting ongoing project activities."

Description

Design an intuitive and interactive interface that allows project managers to review, modify, and approve automatically generated schedule adjustments, seamlessly integrating with current project management tools and workflows.

Acceptance Criteria

Interactive Schedule Adjustment Review

Given a project manager accesses the User-Friendly Reschedule Interface, when new schedule adjustments are generated automatically, then the interface displays the adjustments in an interactive and intuitive format with clear options for review, modification, and approval.

Seamless Integration with Existing Tools

Given that the interface is used alongside current project management tools, when a schedule adjustment is approved, then the changes should seamlessly integrate and update all relevant schedules without manual intervention.

Predictive Data Display Accuracy

Given that predictive analytics are running in the background, when schedule adjustments are suggested, then the interface must accurately reflect these suggestions along with an explanation of the predictive factors and provide error margins.

User Performance Efficiency

Given that project managers have varying levels of technical ability, when using the interface, then it should allow for quick review and easy modifications enabling users to approve adjustments in no more than three clicks.

Timeline Visualizer

A comprehensive dashboard offering visual mapping of project timelines in real time, allowing managers to easily spot deviations and understand the impact of potential delays.

Requirements

Real-time Data Integration

"As a construction project manager, I want to view up-to-date timeline information so that I can make timely decisions and avoid project delays."

Description

Ensure the dashboard continuously pulls and synchronizes real-time data from internal scheduling systems and external APIs to display the most current project timeline. This integration enables precision in reflecting ongoing progress, identifying discrepancies instantly, and facilitating proactive adjustments in planning.

Acceptance Criteria

Real-Time Data Reflection

Given the dashboard is active, when new scheduling data is received from both internal systems and external APIs, then the timeline display must update automatically within 5 seconds.

Data Synchronization Consistency

Given continuous incoming data feeds, when the system fetches updates, then data from all sources must be accurately synchronized with discrepancies not exceeding a 2% variance.

System Failure and Recovery Handling

Given an API failure or delay, when the system detects connectivity issues, then a fallback mechanism should activate using the most recent valid data and log an error notification.

Manual Refresh Integrity

Given the dashboard displays multiple projects, when a user initiates a manual refresh, then the integration must retrieve and update data within 10 seconds with complete accuracy.

Interactive Timeline Navigation

"As a construction project manager, I want to interact with the timeline using intuitive controls so that I can easily explore detailed scheduling data and address scheduling conflicts efficiently."

Description

Provide an intuitive interface that allows users to interact with the timeline through features such as zoom, pan, and filtering. This functionality empowers managers to explore detailed scheduling data at various granular levels, thereby improving the identification of trends and rapid response to scheduling deviations.

Acceptance Criteria

Timeline Zoom Interaction

Given a user is viewing the timeline, when the user performs a zoom in or zoom out action, then the timeline should update and display the correct level of detail within 2 seconds.

Timeline Pan Interaction

Given a user is interacting with the timeline view, when the user drags to pan across the timeline, then the timeline display should scroll smoothly and update in real time without misalignment.

Timeline Filter Functionality

Given a manager wants to focus on specific project segments, when a filter based on date range or task status is applied, then only the relevant timeline data should be displayed and non-relevant data should be hidden promptly.

Interactive Scheduling Details

Given a user wants more information on a timeline element, when that element is clicked, then a detailed view should open displaying task details, dependencies, and potential delay impacts.

Responsive Real-Time Updates

Given that scheduling data may change in real time, when new data is received, then the timeline view should automatically refresh to reflect the most current information without manual input.

Deviation Alert System

"As a construction project manager, I want to receive real-time alerts about schedule deviations so that I can quickly address issues and mitigate project delays."

Description

Develop an alert mechanism that continuously monitors the project timeline for deviations and delays. This system will automatically analyze progress against milestones and deliver prompt notifications via the dashboard and email alerts, enabling managers to address potential issues before they escalate.

Acceptance Criteria

Timeline Deviation Detected

Given that the project timeline is being continuously monitored through the Timeline Visualizer, when a deviation greater than 5% from the planned schedule is detected, then an alert must be automatically triggered on the dashboard and an email notification must be sent to the project manager.

Pre-Milestone Delay Warning

Given that milestones are predefined in the project schedule, when the progress towards an upcoming milestone lags behind by more than 10% of the expected progress within 24 hours, then a pre-milestone delay warning should be generated and highlighted on the dashboard.

Real-Time Monitoring Reliability

Given the real-time monitoring setup, when the actual timeline deviates from the planned timeline by a threshold set by the system (e.g., 5%), then the deviation alert system should log the event and trigger notifications without delay.

Email Notification Accuracy

Given that an alert has been triggered, when an email notification is sent, then the email must include essential details such as the project name, current status of the timeline, specific deviation metrics, and recommended corrective actions.

Dashboard Display Integrity

Given that an alert is displayed on the dashboard, when a deviation alert occurs, then the dashboard must show accurate, real-time visualization of the timeline with clear markers indicating deviations, ensuring compatibility across major devices and browsers.

Milestone Analyzer

Evaluates upcoming project milestones using predictive insights, identifying risks and providing actionable recommendations to realign targets and mitigate delays.

Requirements

Predictive Risk Scoring

"As a construction project manager, I want to view measurable risk scores for each milestone so that I can prioritize mitigation efforts effectively."

Description

Provides a scoring system that evaluates the risk level associated with upcoming project milestones using historical and real-time data, integrating with PlanFusion’s predictive analytics to identify potential delays and issues. This system enhances proactive planning and facilitates early intervention.

Acceptance Criteria

Milestone Risk Overview

Given a project milestone is selected, when the user views the predictive risk scoring dashboard, then the system must display a computed risk score along with associated risk factors derived from historical and real-time data.

Risk Score Action Recommendation

Given a project milestone with a high risk score is flagged, when the user clicks on the risk score, then the system must display actionable recommendations to mitigate the identified risks.

Real-time Data Sync

Given the system is running, when new real-time data is ingested, then the predictive risk scores must be automatically updated on the dashboard within 5 seconds.

Historical Risk Trends

Given historical project data is available, when the user filters the project data by a specific date range, then the system must provide a trend analysis comparing past risk scores to actual outcomes.

Predictive Risk Scoring Under Load

Given multiple project milestones and concurrent user requests, when the system processes data to compute risk scores, then the response time per request must not exceed 2 seconds.

Actionable Recommendation Module

"As a construction project manager, I want to receive automated and concise action recommendations so that I can quickly implement adjustments and keep projects on schedule."

Description

Generates tailored, automated recommendations based on identified risks and milestone analyses. This module effectively integrates into the Milestone Analyzer to provide clear, actionable steps for realigning project timelines and mitigating potential delays.

Acceptance Criteria

Automated Risk Detection

Given a project milestone with identified risks, when the Recommendation Module is triggered, then automatically generate tailored, actionable recommendations to mitigate the identified risks in alignment with the milestone analysis.

User Interface Integration

Given the Milestone Analyzer dashboard, when a user selects a specific milestone, then display the integrated Actionable Recommendation Module with clear, step-by-step actionable recommendations.

Real-time Updates

Given changes in project data that affect milestone status, when risk thresholds are crossed, then update the recommendations in real time and notify the project manager of the changes.

Action Tracking

Given that a user executes an actionable recommendation, when the action is performed, then log the action details and update the project timeline accordingly with confirmation of execution.

Performance Under Load

Given a high-load scenario with multiple simultaneous milestones, when the Recommendation Module processes risk assessments, then generate recommendations within 2 seconds to ensure system responsiveness.

Interactive Milestone Dashboard

"As a construction project manager, I want an interactive dashboard that provides both summaries and detailed views of milestone statuses so that I can monitor progress and take proactive measures to avoid delays."

Description

Delivers an interactive, visual dashboard that consolidates upcoming milestone data, risk scores, historical comparisons, and recommendations. The dashboard should enable drill-down functionality for detailed analysis and integrate seamlessly with PlanFusion’s ecosystem to facilitate real-time decision-making.

Acceptance Criteria

Dashboard Drill-Down Functionality

Given a user selects a milestone on the dashboard, when the drill-down icon is clicked, then a detailed view containing risk analysis, historical comparisons, and actionable recommendations is displayed.

Real-Time Data Refresh

Given the dashboard displays live and integrated milestone data, when new data is received from the PlanFusion ecosystem, then the dashboard refreshes with updated information within 5 seconds.

Risk Score Visualization Accuracy

Given risk scores are computed for each milestone, when the dashboard renders these scores, then they must be presented with clear color coding and numerical values in accordance with predefined thresholds.

Historical Comparison Utility

Given historical milestone data is available, when a user applies the comparison filter on the dashboard, then the system provides an accurate visual comparison between past trends and current projections.

Seamless Integration within PlanFusion Ecosystem

Given the dashboard is integrated with the overall PlanFusion ecosystem, when data in related modules is updated, then corresponding metrics and visualizations in the dashboard update automatically and correctly.

Historical Data Insights

"As a construction project manager, I want to analyze historical performance alongside current metrics so that I can identify trends and better forecast potential issues."

Description

Integrates historical project data with current milestone analytics to highlight trends, anomalies, and recurring issues. This feature enhances the accuracy of predictive insights by comparing current performance to past projects, supporting data-driven decision-making for schedule alignment and risk mitigation.

Acceptance Criteria

Historical Data Synchronization

Given historical project data is available, when the system integrates this data with current milestone analytics, then the data must be accurately synchronized with no data loss.

Trend Analysis Reporting

Given both historical and current data are accessible, when a user requests a trend analysis, then the system should generate a report that clearly outlines past trends and predictive insights for current milestones.

Anomaly Detection in Historical Context

Given a dataset containing historical anomalies, when the system compares past and current project data, then anomalies must be flagged along with actionable recommendations.

Recurring Issue Identification

Given historical project records indicating recurring issues, when the system performs its comparative analysis, then recurring problems must be identified and reported with measurable frequency metrics.

User Validation Interface

Given integrated historical insights within the Milestone Analyzer, when a construction project manager reviews the dashboard, then the user interface must clearly present historical trends, detected anomalies, and recurring issues.

Automated Adjustment Engine

Employs advanced predictive analytics to continuously adjust project schedules automatically, reducing manual intervention and ensuring maximum efficiency and timeline precision.

Requirements

Dynamic Schedule Rebalancing

"As a construction project manager, I want the schedule to dynamically rebalance in response to real-time data so that I can maintain project momentum and avoid delays."

Description

Automatically calibrate project timelines using real-time predictive analytics to adjust resource allocation and buffer times. This feature ensures that as project conditions change, the schedule is continuously optimized to maintain efficiency and accuracy.

Acceptance Criteria

Real-time Schedule Adjustment

Given a change in project conditions, when real-time predictive analytics detects a deviation, then the Automated Adjustment Engine must update the schedule within 5 minutes.

Resource Allocation Calibration

Given an imbalance in resource distribution, when the system recalculates resource needs using real-time data, then it must automatically adjust resource allocations to match forecasted demands with an accuracy margin of less than 5%.

Buffer Time Optimization Handling

Given unforeseen delays, when project complications occur, then the system must dynamically adjust buffer times to mitigate timeline slippage while ensuring overall project deadlines are met.

Predictive Delay Alerts

"As a project manager, I need to receive early warnings about imminent project delays so that I can intervene proactively and adjust plans as required."

Description

Implement a system that analyzes historical and current project data to forecast potential delays. The feature will trigger timely alerts, enabling preemptive measures to mitigate scheduling risks and keep projects on track.

Acceptance Criteria

Delay Prediction from Historical Data

Given historical project data is available, when the system processes the data, then it generates delay predictions with an accuracy rate above 85%.

Real-Time Project Data Integration

Given current project data is input into the system, when the analytics module updates, then an alert is triggered if the predicted delay probability exceeds 70%.

Alert Notification Timing

Given a predicted delay event, when the system identifies the event, then it sends an alert to the project manager within 5 minutes.

User Acknowledgement of Alerts

Given an alert is received, when the project manager acknowledges it via the dashboard, then the alert status is updated and logged correctly.

Integration with Automated Adjustments

Given a delay alert is triggered, when the Automated Adjustment Engine processes the alert, then it automatically adjusts project schedules to mitigate delays with minimal disruption.

Automated Workforce Adjustment

"As a construction project manager, I want the system to automatically adjust workforce schedules so that I can improve productivity and decrease labor expenses."

Description

Leverage predictive analytics to automatically adjust and reassign workforce schedules in response to project demands. This functionality aims to reduce manual intervention, optimize labor costs, and ensure that the right resources are deployed at the right time.

Acceptance Criteria

Real-time Schedule Reassignment

Given a sudden change in project demand, when the predictive analytics engine detects the change, then the system should automatically adjust workforce schedules and notify relevant team members within 2 minutes.

Cost Optimization Validation

Given expected fluctuations in labor costs, when the system processes predictive analytics data, then it must reassign workforce resources to achieve a minimum of 25% reduction in labor costs compared to previous schedules.

Manual Override Testing

Given an instance where an automated adjustment is triggered, when a project manager initiates a manual override, then the system must allow changes and log both the override action and the adjustment rationale.

Predictive Analytics Accuracy

Given historical project data and real-time inputs, when the automated adjustment engine recalculates schedules, then the system must achieve at least 95% accuracy in matching workforce resources to project demands.

System Load and Performance

Given simultaneous adjustment requests during peak usage, when the system processes multiple schedule modifications, then each adjustment should be completed in under 2 seconds without performance degradation.

Seamless Tools Integration

"As a project manager, I want the adjustment engine to integrate with my current tools so that I can maintain a cohesive and updated view of all project activities."

Description

Ensure that the Automated Adjustment Engine integrates smoothly with existing project management and scheduling tools. This integration will allow for real-time data exchange and unified project oversight, enhancing operational efficiency and reducing data silos.

Acceptance Criteria

Real-Time Data Exchange

Given a change in an external project management or scheduling tool, when the Automated Adjustment Engine retrieves the update, then the system must update the project schedule in real time (within 60 seconds) and log the successful synchronization.

Unified Project Overview

Given that project data originates from multiple scheduling tools, when a user accesses the centralized dashboard, then the integrated data must display real-time updates from all sources with an accuracy rate of at least 95%.

Fault-Tolerant Integration

Given the occurrence of an interruption in data exchange with a connected tool, when the system detects the failure, then it must revert to the most recent valid state and notify the user of the issue without disrupting overall operations.

Instant Cost Alert

Delivers real-time notifications when labor costs deviate from budget projections. This feature ensures that managers receive immediate alerts to unexpected overages, enabling swift adjustments and precise control over expenditures.

Requirements

Real-time Cost Monitoring

"As a construction project manager, I want real-time monitoring of labor costs against budget so that I can make timely decisions to prevent further cost overruns."

Description

The system continuously monitors labor cost data in real-time, comparing actual costs against planned budget projections to detect variances. It integrates with the existing cost tracking module to ensure up-to-date and accurate financial information, alerting stakeholders immediately on significant deviations.

Acceptance Criteria

Real-time Data Reflection

Given the labor cost tracking module is active, when actual labor costs are updated in real-time, then the system must display updated actual costs on the dashboard within 5 seconds and trigger an alert if deviations exceed 10% of the budget.

Instant Over-budget Alert

Given the integrated cost projection data is available, when actual labor costs exceed the projected budget by a set threshold, then the system shall immediately send a notification to stakeholders with detailed cost information.

Cost Variance Analysis

Given that baseline budget data is loaded, when the system detects a cost variance, then it shall compare real-time data to the planned budget and categorize the deviation to help prioritize managerial review.

User Interface Response

Given a construction project manager logs in, when accessing the real-time cost monitoring dashboard, then updated cost data and real-time alerts should be prominently displayed with intuitive UI elements and tooltips.

Data Integration and Accuracy

Given that the cost tracking module is integrated, when real-time data is received, then the system must validate the data's integrity and accuracy, ensuring consistency between source data and dashboard display.

Immediate Alert Notification

"As a project manager, I want to receive immediate notifications when labor costs surpass budget limits so that I can quickly address and mitigate any issues."

Description

The feature sends instantaneous notifications to project managers when labor costs exceed predefined thresholds. This includes various communication channels and ensures that managers receive alerts without delay, enabling proactive budget adjustments.

Acceptance Criteria

Threshold Breach Detection

Given that labor costs exceed the predefined threshold, when the system detects the deviation then an immediate alert is sent through all enabled channels.

Multi-Channel Alert Delivery

Given a detected labor cost deviation, when the condition is met then notifications are dispatched simultaneously via email, SMS, and in-app messaging.

Real-Time Notification Speed

Given that the labor cost threshold is exceeded, when the alert triggers then notifications are delivered within 5 seconds.

Accurate Notification Context

Given that an alert is generated, when the project manager receives the notification then it includes essential details such as project name, the amount by which costs are exceeded, and a timestamp.

Customizable Notification Thresholds

"As a project manager, I want to customize notification thresholds so that alerts are meaningful and appropriate for the unique financial parameters of my project."

Description

Allows project managers to configure and set custom thresholds for labor cost deviations, ensuring that alerts are tailored to project-specific budgets and risk tolerance. This customization integrates seamlessly with existing UI elements and back-end logic to offer flexible, user-defined alert criteria.

Acceptance Criteria

Threshold Configuration Basic

Given a project manager is logged in and on the settings page, when they select the option to configure notification thresholds, then the system should display an input field to set a custom labor cost deviation threshold within specified limits.

Threshold Persistence on Save

Given a project manager inputs a custom threshold value, when they save the configuration, then the system should persist the threshold in the user profile and confirm the update.

Threshold Notification Trigger

Given a project manager's custom threshold is configured, when real-time labor cost monitoring detects a deviation exceeding the threshold, then the system should trigger an immediate notification alert.

User Interface Integration

Given the customizable notification thresholds feature, when a project manager navigates to the notification settings, then the UI should display the current custom threshold value and allow it to be edited seamlessly.

Back-end Validation

Given a custom threshold value is submitted, when the data is processed in the back-end, then it should be validated against business rules to ensure correctness and prevent invalid entries.

Alert Acknowledgment and History Logging

"As a project manager, I want to acknowledge alerts and review past notifications so that I can maintain accountability and learn from previous cost management scenarios."

Description

Implements functionality to allow managers to acknowledge and track alert notifications, maintaining a historical log of cost deviations and acknowledgment responses. This ensures traceability and facilitates post-event analysis to inform future budgeting and project adjustments.

Acceptance Criteria

Alert Acknowledgment by Manager

Given an active alert notification on the manager's dashboard, when the manager clicks the 'Acknowledge' button, then the alert acknowledgment is recorded with the manager's ID and timestamp.

Alert History Record Verification

Given a confirmed acknowledgment, when the manager navigates to the alert history log, then the corresponding alert details along with the acknowledgment record are displayed in chronological order.

Real-time Notification Logging

Given a labor cost deviation alert, when the notification is triggered, then the system automatically logs the alert data including a unique alert ID, deviation amount, and timestamp, before any acknowledgment action is taken.

Concurrent Acknowledgment Handling

Given that multiple notifications are received concurrently, when the manager acknowledges a specific alert on one device, then duplicate acknowledgment entries are prevented and only a single record is created in the audit log.

Audit Trail for Post-Event Analysis

Given the need for post-event analysis, when a manager requests a report on past alerts, then the system provides a complete audit trail including alert notifications, acknowledgment responses, timestamps, and any follow-up actions taken.

Expense Navigator

Offers an interactive dashboard that provides detailed breakdowns of labor costs across projects. Managers can drill down into specific cost categories, track spending trends, and pinpoint areas for cost optimization, ensuring a focused approach to budget management.

Requirements

Interactive Cost Dashboard

"As a construction project manager, I want an interactive dashboard for labor cost breakdowns so that I can quickly understand project spending and adjust budgets effectively."

Description

Develop an interactive dashboard that aggregates and displays detailed labor cost breakdowns across various projects. The dashboard should provide visual representations such as charts and tables, enabling construction project managers to rapidly assess spending patterns, monitor trends, and identify opportunities for cost savings. This feature will integrate real-time data from PlanFusion's predictive analytics engine to ensure updated and actionable insights, thereby supporting efficient budget management and project execution.

Acceptance Criteria

Real-Time Dashboard Loading

Given a project manager logs into Expense Navigator, when real-time labor cost data is received, then the interactive dashboard must load updated charts and tables within 3 seconds to ensure timely insights.

Drill-Down Functionality for Specific Cost Categories

Given the manager is on the dashboard overview, when a specific cost category is selected, then detailed breakdowns including additional charts and tables must be displayed to allow in-depth analysis.

Budget Monitoring and Trend Analysis

Given the manager needs to monitor budget trends, when real-time data is refreshed, then the dashboard must accurately update trend analysis charts highlighting spending patterns and budget deviations.

Interactive Chart and Table Navigation

Given the manager navigates the dashboard, when switching between visualization types, then the UI must seamlessly transition between charts and tables while maintaining data context and responsiveness.

Cost Drill-Down Functionality

"As a construction project manager, I want the ability to drill down into specific cost categories so that I can identify the exact areas contributing to labor cost increases and manage budgets more precisely."

Description

Implement a drill-down functionality within the expense dashboard that allows users to click on summarized cost categories to view more granular details. This feature will provide in-depth analysis of labor, material, and overhead costs by breaking them into sub-categories. It is designed to empower project managers by enabling detailed cost tracking and targeted cost management, seamlessly integrating with the central PlanFusion system to pull in relevant analytics and real-time data updates.

Acceptance Criteria

Drill-Down Navigation Interaction

Given a summarized cost category is displayed on the dashboard, when a user clicks on the category, then the system shall display a detailed breakdown page with sub-category details for labor, material, and overhead costs.

Real-Time Data Update Drill-Down

Given the aggregated cost data is shown, when the user drills down into a cost category, then the detailed view must fetch and display real-time updated data from the central PlanFusion system.

Consistent Analytics Integration

Given the predictive analytics components, when a sub-category is selected during drill-down, then the system must present relevant analytics and trend metrics specific to that sub-category.

Responsive Drill-Down Page

Given that users may access the dashboard from various devices, when a drill-down is initiated, then the detailed page shall be responsive and load within 2 seconds under normal network conditions.

Error Handling in Drill-Down Functionality

Given possible data retrieval errors, when a user attempts a drill-down action, then the system must show a clear error message and automatically retry data loading without requiring a manual page refresh.

Spending Trends Visualization

"As a project manager, I want to visualize spending trends over time so that I can anticipate potential cost overruns and adjust project plans in a timely manner."

Description

Create visual representations such as graphs and charts to showcase spending trends over time within the expense dashboard. This feature will enable project managers to see historical spending patterns, identify seasonal fluctuations, and project future cost scenarios based on past data. The integration of PlanFusion's predictive analytics will allow these visualizations to reflect likely future trends, thereby supporting proactive financial planning and decision-making.

Acceptance Criteria

Initial Data Load Validation

Given the expense dashboard is accessed, when the spending trends visualization loads, then the graph accurately displays historical spending data with proper time intervals and data labels.

Interactive Drill-Down Functionality

Given the spending trends graph is displayed, when a project manager clicks on a specific time period, then detailed cost breakdown information for that period is presented, including labor costs and seasonal anomalies.

Predictive Analytics Integration

Given historical spending data exists, when the dashboard is rendered, then the system overlays predictive future spending trends with a visible confidence interval using PlanFusion's analytics.

Real-time Data Update

Given that new expenditure data is added to the system, when data synchronization is complete, then the spending trends visualization updates within 30 seconds to reflect the latest information.

Smooth Interactivity Experience

Given multiple users access the expense dashboard concurrently, when interacting with the spending trends visualizations, then the system renders graphs and charts in under 2 seconds to maintain optimal user experience.

Cost Optimization Alerts

"As a construction project manager, I want to receive immediate alerts for discrepancies in labor costs so that I can take prompt action to realign project spending with the budget."

Description

Develop a real-time alert system that automatically notifies project managers when labor costs deviate significantly from budget forecasts. This feature will analyze incoming cost data, compare it against predefined thresholds and historical trends, and generate recommendations for corrective actions. The alerts will be designed to trigger both on the dashboard and through targeted notifications, ensuring that managers can respond swiftly to mitigate overages and optimize overall project expenses.

Acceptance Criteria

Real-time Alert Activation

Given the system monitors incoming labor cost data and has predefined threshold limits, when the labor cost deviates significantly from the forecast based on historical trends, then a real-time alert is automatically triggered both on the dashboard and as a targeted notification.

Dashboard Integration

Given that an alert has been generated due to labor cost deviations, when the project manager accesses the dashboard, then the alert is clearly displayed with detailed information and actionable recommendations for corrective actions.

Notification Accuracy and Timeliness

Given the occurrence of a significant cost overage, when the system processes the data for alert generation, then a notification is sent to the designated project manager within 60 seconds of detection.

Recommendation Generation

Given a cost deviation alert, when the system analyzes relevant data, then it generates at least two actionable corrective recommendations based on current project conditions and historical performance data.

Historical Trend Analysis

Given the availability of historical cost data, when the system performs trend analysis, then it identifies patterns that have historically led to budget overruns in at least 80% of similar cases, ensuring alerts are informed by past outcomes.

Trend Predictor

Utilizes predictive analytics to forecast future labor cost trends based on historical and current data. By anticipating potential budget challenges before they arise, this feature empowers managers to proactively adjust resource allocation and mitigate financial risks.

Requirements

Real-Time Data Integration

"As a construction project manager, I want real-time integration of labor cost data so that I can make informed decisions based on the latest information."

Description

Integrate historical and current labor cost data from various construction management systems to ensure predictions are based on validated and up-to-date datasets. This integration will support accurate trend forecasting and help managers respond to budget fluctuations in real time.

Acceptance Criteria

Real-Time Data Accuracy

Given integrated historical and current labor cost data, when the Trend Predictor processes the data, then the output must reflect the most recent data with a minimum of 99% accuracy compared to source systems.

Integration Error Handling

Given a failure in retrieving data from any source system, when the data integration process runs, then the system should trigger an error alert and revert to a predefined fallback mechanism ensuring the data integrity is maintained.

Data Update Frequency

Given the availability of new labor cost data from source systems, when the integrated data store is updated, then the update should be reflected in the Trend Predictor within 5 minutes ensuring real-time accuracy.

Predictive Analytics Engine

"As a construction project manager, I want a predictive analytics engine that accurately forecasts labor cost trends so that I can proactively adjust resources and manage budgets."

Description

Develop a robust machine learning-based analytics module that analyzes historical trends and current operational data to forecast future labor cost trends. This engine will enable proactive adjustments and mitigate emerging financial risks.

Acceptance Criteria

Accurate Forecasting of Labor Costs

Given historical and current operational data is available, When the predictive analytics engine processes the data, Then it produces labor cost forecasts with an error margin of less than 5% compared to actual outcomes.

Timely Prediction Update

Given new operational data is entered, When the system updates the predictive model, Then the engine must refresh its forecast within 5 minutes of data integration.

Proactive Risk Identification

Given forecasted labor cost trends indicate potential budget overruns, When the engine identifies risk thresholds, Then it triggers alerts to project managers with proactive resource allocation recommendations.

Interactive Dashboard Display

"As a construction project manager, I want an interactive dashboard displaying labor cost trends and comparisons so that I can quickly interpret data and adjust project plans as needed."

Description

Create an interactive dashboard that visualizes predicted labor cost trends, historical data comparisons, and key performance indicators, allowing for intuitive interpretation of analytics. This feature will enhance user engagement and facilitate swift decision-making.

Acceptance Criteria

Real-Time Data Refresh

Given the dashboard is active, when new labor cost data is received, then the dashboard must auto-refresh within 5 seconds to display updated trends.

User Interactivity

Given a user clicks on a data visualization element, when detailed information is requested, then the dashboard should display contextual tooltips and drill-down data for enhanced analysis.

Historical vs. Predictive Comparison

Given the need for data comparison, when the user toggles between historical data and predictive trends, then both datasets must be accurately overlaid for clear, side-by-side analysis.

Performance and Responsiveness

Given the dashboard is loaded with high-volume data, when users interact with any component, then all elements should render within 3 seconds and support smooth responsiveness across devices.

User Engagement

Given the analytics visualization is active, when a significant trend change occurs, then the dashboard should highlight the change through clear visual cues and alerts to prompt user action.

Customizable Alert System

"As a construction project manager, I want to receive customizable alerts for potential labor cost spikes so that I can intervene early and manage financial risks effectively."

Description

Implement a customizable alert system that notifies managers when forecasted labor costs exceed pre-defined thresholds. This system will provide timely alerts to facilitate immediate response, ensuring budget overruns are avoided.

Acceptance Criteria

High Labor Cost Forecast Alert

Given forecasted labor costs exceed pre-defined thresholds, when the forecast is generated, then a customizable alert should be triggered notifying the manager.

Configurable Threshold Setting

Given the system is in configuration mode, when a manager sets or adjusts threshold values, then these values should be saved for future evaluations.

Real-time Data Integration

Given updated labor cost data is received, when predictive analytics are run, then the alert system should update its notifications in near real-time.

Personalized Alert Appearance

Given that a manager customizes the alert preferences, when an alert is triggered, then the alert's appearance should reflect the customized settings.

Historical Data Alert Verification

Given historical labor cost trends are analyzed, when predictive analytics forecast exceedance based on historical data, then an alert should be generated with an attached cost trend report.

Smart Budget Optimizer

Analyzes cost insights and suggests actionable strategies for efficient budget allocation. By offering real-time recommendations for labor deployment and expenditure adjustments, it helps managers maximize every dollar and maintain optimal cost efficiency.

Requirements

Real-Time Cost Analysis

"As a construction project manager, I want to view real-time cost breakdowns so that I can quickly adjust strategies to prevent budget overruns."

Description

This requirement involves integrating real-time financial data with the Smart Budget Optimizer to provide immediate cost visibility. It processes incoming financial data, identifies discrepancies, and visualizes cost breakdowns in an intuitive dashboard. This functionality enhances decision-making by enabling immediate review of spending, adjusting predictions, and ensuring cost transparency throughout the project lifecycle.

Acceptance Criteria

Immediate Data Ingestion

Given real-time financial data is received, when the data is ingested by the system, then the processing time must not exceed 5 seconds to ensure immediate cost visibility.

Discrepancy Detection

Given incoming financial data, when discrepancies are identified, then the system must flag and display these alerts on the dashboard within 2 seconds with at least 95% accuracy.

Dashboard Visualization Refresh

Given updated cost data, when a user accesses the dashboard, then the cost breakdown visualization must refresh within 3 seconds using intuitive and color-coded metrics.

Adaptive Labor Reallocation

"As a construction project manager, I want automated recommendations for reallocating labor so that I can optimize workforce costs and enhance project efficiency."

Description

This requirement focuses on analyzing workforce deployment and productivity data to automatically suggest the optimal allocation of labor resources. By integrating predictive analytics with current project metrics, it recommends adjustments to labor allocation that can reduce costs and boost efficiency. The system utilizes historical labor performance data to tailor labor deployment strategies, ensuring maximum productivity and minimal cost wastage.

Acceptance Criteria

Real-Time Labor Reallocation

Given historical and current labor data is available, when the project manager accesses the Adaptive Labor Reallocation module, then the system must display suggested labor adjustments with at least 95% data accuracy and clear cost-saving insights.

Predictive Analytics Integration

Given the integration of predictive analytics with current project metrics, when new project data is processed, then the system must generate actionable labor reallocation recommendations that reduce labor costs by a minimum of 25%.

User Feedback Loop Incorporation

Given that recommendations are presented to users, when users interact with the Adaptive Labor Reallocation module, then the system must capture feedback on recommendation effectiveness with a minimum response rate of 80% to support continuous improvement.

Predictive Budget Alerts

"As a construction project manager, I want to receive early alerts for potential budget overruns so that I can take corrective actions before costs spiral out of control."

Description

This requirement develops a predictive alert system that harnesses historical and real-time data to forecast potential budget overruns. It proactively monitors spending trends and calculates risk thresholds, triggering alerts before deviations impact the project significantly. This early warning system is designed to empower managers by providing timely notifications that help prevent financial surprises and ensure proactive financial management.

Acceptance Criteria

Real-Time Alert Triggering

Given historical and real-time spending data are available, when the system detects spending trends exceeding calculated risk thresholds, then a predictive alert must be triggered at least 24 hours prior to a potential budget overrun with a confidence level of 80%.

Historical Data Analysis Integration

Given access to historical project budget data, when the system combines this data with current spending, then it must forecast budget trends with an accuracy of no less than 85%, clearly identifying scenarios with potential overruns.

User-Friendly Notification Interface

Given a detected budget risk, when the predictive alert is displayed, then the user interface must present clear, actionable recommendations and a summary of risk factors within 2 seconds of trigger.

Dynamic Expenditure Adjustment

"As a construction project manager, I want the system to automatically adjust budgeting recommendations based on current expenditure trends so that I can maintain optimal cost efficiency throughout the project."

Description

This requirement implements a dynamic system that adjusts budget recommendations in response to fluctuations in real-time spending. By continuously analyzing expenditure data and comparing it to planned allocations, the system recalibrates future budget suggestions and spending strategies. This ensures that the budgeting plan remains flexible, adaptive, and aligned with the project's current financial status, ultimately safeguarding against unplanned cost escalations.

Acceptance Criteria

Real-Time Data Ingestion

Given new expenditure data is received from integrated sources, When the system processes the data, Then budget recommendations are adjusted instantly based on the updated spending.

Threshold-Based Alert Activation

Given that real-time spending exceeds 90% of the planned allocation, When the threshold is reached, Then the system automatically triggers an alert to notify the project manager.

Automated Recommendation Updates

Given fluctuations in expenditure data, When the deviation from planned allocation surpasses the flexible threshold, Then dynamic budget recommendations are updated to reflect the new spending trends.

Budget Deviation Analysis

Given the availability of historical expenditure data, When current spending is compared with historical trends and intended allocations, Then deviations exceeding a set percentage are flagged for review.

User Override Prompt

Given a major recalibration of budget recommendations that exceed a 20% threshold, When the system recalibrates the recommendations, Then it prompts the project manager for confirmation and records their decision.

Data Integrator

Data Integrator centralizes and consolidates various data streams from on-site sensors, project management tools, and team communications. By merging diverse data, it provides a real-time overview of resource allocation and activities, reducing miscommunications and ensuring a unified effort across teams for maximum efficiency.

Requirements

Real-time Data Sync

"As a construction project manager, I want real-time synchronization of data streams so that I can make timely decisions and prevent resource conflicts."

Description

The requirement ensures that data collected from on-site sensors, project management tools, and communication channels is synchronized in real-time. It merges data streams into a unified view that updates continuously so project managers have up-to-date insights into resource allocation and activity status. It reduces delays due to manual data consolidation and minimizes miscommunication.

Acceptance Criteria

Real-time Sensor Event Update

Given data from an on-site sensor is received, when it is processed by the Data Integrator, then the unified view must update within 2 seconds.

Live Project Management Tool Sync

Given an update in the project management tool, when the synchronization process is triggered, then the updated information should reflect in the unified view within 3 seconds.

Unified Communication Channel Update

Given a new communication message is posted, when data is received by the system, then the real-time view must reflect the update with less than a 2-second delay.

Handling Temporary Data Source Unavailability

Given a data source becomes temporarily unavailable, when it comes back online, then the system must automatically sync and catch up on missed data entries without manual intervention.

Data Accuracy and Consistency Verification

Given the data is merged from multiple sources, when a project manager reviews the unified view, then all displayed information should be accurate, consistent with the source data, and flagged if discrepancies occur.

Data Quality Validation

"As a project manager, I want the system to validate and clean incoming data so that I can trust the insights provided for scheduling decisions."

Description

The mechanism automatically validates and cleans incoming data from multiple sources ensuring accuracy and consistency in the consolidated feed. It helps to filter out anomalies and inconsistencies that can lead to decision-making errors in project management. This feature enhances overall system reliability while building confidence in the predictive analytics of PlanFusion.

Acceptance Criteria

Sensor Data Ingestion Validation

Given sensor data is received, when the data is processed by the system, then the system must validate the data format, timestamp accuracy, and anomaly-free values within acceptable ranges.

Project Management Tool Data Normalization

Given project management data is imported, when the data is aggregated, then the system must clean duplicate entries, normalize date formats, and ensure consistent measurement units.

Team Communication Data Consistency Check

Given team communication logs are integrated, when the data is merged, then the system should automatically flag and correct inconsistencies such as missing sender identifiers or erroneous timestamps.

Real-time Anomaly Detection in Consolidated Data

Given all source data is consolidated, when the aggregated data feed is analyzed, then any anomalies that exceed pre-defined thresholds (such as out-of-range values or conflicting data points) should trigger an alert and be excluded from the predictive analytics.

Customizable Data Mapping

"As a project manager, I want to customize how data fields are mapped so that the integrated view matches our reporting needs and improves decision-making."

Description

The system provides configurable data mapping options to allow project managers to tailor how data from varying sources are consolidated. It supports user-defined rules and field mappings, ensuring the unified data feed aligns with specific project requirements and reporting formats.

Acceptance Criteria

Initial Data Mapping Configuration

Given a project manager accesses the Data Integrator module, when they select the Customizable Data Mapping feature, then they must be able to create a new mapping with user-defined rules and field mappings.

Editing and Updating Data Mappings

Given an existing data mapping, when the project manager updates field mappings or rule parameters, then the system should apply changes in real-time and reflect updates accurately in the unified data feed.

Data Consolidation Validation

Given multiple data sources with varying formats, when the predefined mapping rules are executed, then the system should successfully consolidate the data and format it according to the configuration, ensuring consistency in reporting.

Error Handling and Notifications

Given an invalid or incomplete data mapping configuration, when the project manager attempts to save the configuration, then the system must display a clear error message and prevent saving until the issues are resolved.

Historical Data Archiving

"As a project manager, I want historical data archiving so that I can analyze trends and improve future project planning."

Description

The requirement integrates an archival system for historical data from all integration points, enabling tracking of resource allocation trends over time. It supports analytics and performance reviews by storing data in easily retrievable archived formats, while ensuring compliance with data retention policies.

Acceptance Criteria

Historical Data Retrieval

Given a valid time-filtered query, when the user requests archived data, then the system retrieves the historical data within 2 seconds with accurate formatting.

Data Compliance Verification

Given a scheduled compliance audit, when historical data is queried, then the archival system must adhere to data retention policies and verify data integrity.

Performance Trend Analysis

Given an analytical query for long-term resource trends, when aggregating historical data, then the system should provide precise data points with correct timestamps for analysis.

Seamless Data Integration

Given the integration of data streams from sensors and project tools, when archiving historical data, then the system must log data from all points without loss and within a 5-second latency window.

User Access Control Testing

Given a user with restricted roles, when access to archived data is attempted, then the system should deny entry and record the event in audit logs.

Unified Dashboard

Unified Dashboard offers a single, comprehensive view that aggregates live updates on workforce deployment, task statuses, and project timelines. This feature enhances visibility, allowing managers to swiftly pinpoint bottlenecks and make informed decisions to maintain optimal team efficiency.

Requirements

Real-time Data Integration

"As a construction project manager, I want live updates on all project data so that I can effectively manage resources and address issues immediately."

Description

Integrate live data feeds for workforce deployment, task statuses, and project timelines into the Unified Dashboard to provide instantaneous insights and situational awareness. This integration ensures construction project managers have access to current data for rapid decision-making and improved project coordination.

Acceptance Criteria

Real-Time Feed Verification

Given the live data feed is active, when the data is integrated into the dashboard, then it should reflect updated values within 5 seconds.

Low Latency Updates

Given the dashboard is active, when new data updates are received, then the dashboard should display updated timestamps reflecting data within 5 seconds of occurrence.

Data Consistency Across Feeds

Given multiple live data sources for workforce deployment, task statuses, and project timelines, when they are aggregated, then the data must be consistent and without discrepancies across the dashboard.

Error Handling and Notification

Given the occurrence of a data feed interruption, when an error is detected, then the system should display an error notification and revert to using the last known valid data.

User Interaction with Live Data

Given a project manager's interaction with the dashboard, when selecting or hovering over data elements, then updated details should be displayed within 3 seconds.

Customizable Filtering Options

"As a construction project manager, I want to filter dashboard data by different parameters so that I can tailor insights to my specific project needs."

Description

Implement extensive filtering capabilities that allow users to customize dashboard views based on workforce roles, task types, and timeline segments. This feature enables managers to drill down into the most relevant data, enhancing focus and precision in decision-making.

Acceptance Criteria

Workforce Filtering Usage

Given the dashboard is displayed, when a user selects a specific workforce role filter, then only tasks and information related to that role appear on the dashboard.

Task Type Filtering Usage

Given the dashboard is displayed, when a user selects one or more task type filters, then only tasks matching the selected types are visible with updated status and details.

Timeline Filtering Usage

Given the dashboard is displayed, when a user applies a timeline filter for a specific period, then only tasks scheduled within that timeline are displayed.

Multi-Factor Filtering Combination

Given multiple filters (workforce, task type, timeline) are applied concurrently, when the user confirms the filter selection, then the dashboard should update to display data meeting all the selected criteria.

Real-time Filter Update

Given the dashboard is actively monitored, when a filter is adjusted or removed, then the dashboard refreshes in real-time to reflect the current filter state with no significant delay.

Interactive Drill-Down Analysis

"As a construction project manager, I want to interact with dashboard elements to access detailed reports so that I can uncover the root causes of project delays."

Description

Develop interactive dashboard elements that allow users to click on metrics for detailed sub-reports and historical performance analysis. This drill-down functionality provides deeper insights into project bottlenecks and trends, facilitating comprehensive investigations into operational issues.

Acceptance Criteria

Drill-Down Navigation from Workforce Metrics

Given the user is on the Unified Dashboard, when they click on a workforce metric, then detailed sub-report and historical performance data for that metric is displayed.

Interactive Filtering of Sub-Reports

Given the user has accessed a drill-down sub-report, when they apply filters such as date range or task type, then the sub-report updates in real-time to reflect the filtered data.

Responsive Detail View on Mobile

Given the user is accessing the dashboard from a mobile device, when they activate the drill-down feature, then the detailed view adapts for optimal display on mobile screens.

Performance of Drill-Down Data Loading

Given a drill-down request is made, when the request is executed, then the detailed analysis data loads within 2 seconds under standard conditions.

Error Handling in Data Retrieval

Given a data retrieval failure during drill-down, when an error occurs, then a user-friendly error message is displayed with an option to retry the action.

Alerts and Notifications

"As a construction project manager, I want to receive real-time alerts when critical project metrics deviate from expected ranges so that I can take swift corrective actions."

Description

Integrate a proactive alerts and notifications system within the dashboard that triggers real-time warnings when user-defined thresholds are crossed. This system ensures that managers are immediately informed of potential issues, enabling proactive measures to prevent project disruptions.

Acceptance Criteria

Real-Time Threshold Alert

Given a project manager has set specific thresholds for workforce deployment or task delays, when the dashboard monitors live updates and detects a threshold breach, then a real-time alert notification should be triggered and clearly displayed on the dashboard.

Notification Configuration Management

Given that the project manager is accessing the notifications settings, when they modify, add, or cancel specific alert thresholds, then the system configuration should update in real-time and persist the changes accurately.

User-Defined Alert Customization

Given that the project manager has accessed the custom alerts module, when they specify the parameters and conditions for notifications, then the system should store and operate based on these user-defined settings and reflect changes instantaneously on the dashboard.

Alert Logging and History Accuracy

Given a threshold breach has occurred, when an alert is triggered, then the event should be logged with a timestamp and made accessible as part of the dashboard's historical alert log for later review.

Responsive Mobile Optimization

"As a construction project manager, I need the dashboard to be mobile-optimized so that I can access project insights anytime, anywhere."

Description

Design the dashboard with a responsive layout that adapts seamlessly across devices, ensuring functionality and clarity on both desktops and mobile platforms. This optimization supports on-the-go access, allowing managers to monitor and manage projects even from remote locations.

Acceptance Criteria

Mobile Layout Adaptation

Given the user accesses the dashboard from a mobile device, when the page loads, then the layout should automatically adjust to various screen sizes (e.g., 360x640, 375x667) without horizontal scrolling or distortion.

Touch-Responsive Interactions

Given the user interacts with the dashboard on a touch-enabled device, when tapping or swiping on interactive elements, then the interface should provide smooth, responsive feedback and transitions.

Content Readability on Mobile

Given the user views text and icons on a mobile device, when the dashboard is rendered, then the fonts, icons, and buttons must adjust proportionally to ensure clear readability and usability.

Performance Consistency

Given the user accesses the dashboard from both mobile and desktop devices, when live data and widgets load, then the performance including load times and responsiveness should remain consistent and within acceptable thresholds.

Error-Free Data Presentation

Given the dashboard aggregates live updates from multiple sources, when accessed on a mobile device, then the displayed data must be accurate and well-aligned, with no crashes or layout issues.

Sync Alerts

Sync Alerts provide instant notifications when integrated data signals potential coordination issues or delays. This timely alert system enables managers to address problems before they escalate, ensuring that all team members stay aligned and project momentum is maintained.

Requirements

Real-time Data Integration

"As a construction project manager, I want real-time data integration so that I can immediately identify and address any discrepancies or delays in project coordination."

Description

Ensure that the Sync Alerts feature seamlessly integrates with various data sources including construction project tracking systems, real-time workforce coordination tools, and external data APIs. This integration is designed to provide instant notifications when coordination issues or delays are detected, ensuring that managers have a complete and up-to-date view of project dynamics to make informed decisions.

Acceptance Criteria

Real-Time Alert Triggering

Given live data integration from construction systems, when a potential coordination issue or delay is detected, then an immediate alert must be generated and displayed on the dashboard as well as pushed to designated notification channels.

Seamless API Integration

Given the utilization of external data APIs, when data is received from these sources, then it must be validated, timestamped, and synchronized instantly with internal systems for alert generation.

Data Accuracy and Consistency

Given multiple data source inputs, when discrepancies or duplications are identified, then the system must flag or automatically reconcile these inconsistencies before generating any alerts.

Context-Based Alert Customization

Given that different user roles have unique data requirements, when a coordination issue is detected, then the system must tailor alert notifications based on recipient type (e.g., project manager vs. field supervisor) ensuring relevant details are provided.

Customizable Alert Thresholds

"As a project manager, I want to set customizable alert thresholds so that I only receive notifications for the issues that are most significant to my project's progress."

Description

Implement adjustable alert thresholds within the Sync Alerts feature that allow managers to define specific parameters for notifications, such as delay duration, workforce availability, or deviation from the critical path. By tailoring these thresholds to suit project-specific risks, the feature minimizes unnecessary alerts and focuses attention on critical issues.

Acceptance Criteria

Threshold Customization for Delay Duration

Given a project manager is on the customizable parameters page, when they adjust the alert threshold for delay duration and click save, then the system should update the threshold value and store it in the user's profile.

Threshold Customization for Workforce Availability

Given a project manager is viewing workforce metrics, when they set a minimum availability threshold and confirm changes, then the system should reflect the updated threshold in subsequent alert evaluations.

Validation of Custom Input Parameters

Given a project manager is entering a custom threshold value, when the value is submitted, then the system should validate that the parameter is within the acceptable range and display an error message for out-of-bound values.

Notification Triggering Based on Custom Setting

Given the customized thresholds are active, when project metrics breach any defined threshold, then the system should trigger an alert specifically for the configured parameter and log the alert details.

User Interface for Managing Custom Thresholds

Given a project manager navigates to the threshold management interface, when the page loads, then it should display all current custom thresholds with options for modification, including intuitive labels and confirmation dialogs upon update.

Cross-Platform Notification Delivery

"As a project manager, I want to receive alerts across multiple platforms so that I am always informed about potential issues, no matter where I am or which device I am using."

Description

Develop a robust notification system that delivers Sync Alerts across multiple platforms—including mobile devices, desktop applications, and email—to ensure that the alerts reach the intended recipients promptly, regardless of their preferred device or location. This feature is designed to maintain continuous communication and project oversight even when managers are on the move.

Acceptance Criteria

Mobile Notification Delivery

Given a manager is using a mobile device, when a sync alert is triggered, then a push notification must be received within 10 seconds with complete details and interactive options.

Desktop Application Alerts

Given a manager is logged into the desktop application, when a sync alert is activated, then an in-app notification must be displayed promptly with clear, actionable information.

Email Notification Functionality

Given a manager’s email is registered in the system, when a sync alert occurs, then an email notification must be sent within 2 minutes containing full alert details and resolution suggestions.

Multi-Platform Sync Consistency

Given that a manager accesses the system from multiple devices, when a sync alert is generated, then the notification status must be synchronized across mobile, desktop, and email platforms, ensuring consistency and preventing duplicate alerts.

Offline Notification Queuing

Given that a manager is offline, when a sync alert is generated, then the system must queue the alert and automatically deliver it once connectivity is restored without losing any alert information.

Team Connector

Team Connector links communication channels, task trackers, and calendar systems into a single platform, fostering seamless collaboration among team members. This feature breaks down informational silos, facilitating rapid decision-making and ensuring everyone is on the same page.

Requirements

Unified Dashboard

"As a construction project manager, I want a single unified dashboard so that I can efficiently monitor and manage team communications, tasks, and scheduling from one place."

Description

A central dashboard that integrates messages, tasks, and calendar events into one streamlined interface. This feature will enhance user experience by providing a holistic view of all team activities, enabling effective resource management and quick decision-making. The unified dashboard ensures that all relevant data is accessible in real-time, reducing the need for multiple apps and minimizing the risk of miscommunication.

Acceptance Criteria

Real-Time Data Integration

Given a user accesses the unified dashboard, when data is updated on any integrated platform, then the updated information should display within 2 seconds.

User-Centric Interface Navigation

Given a project manager is using the dashboard, when they switch between messages, tasks, and calendar events, then navigation should require no more than 2 clicks to reach any section.

Data Synchronization Accuracy

Given the dashboard integrates multiple data sources, when data is fetched, then all information should be synchronized and match 100% with the source data in real-time.

Performance and Load Efficiency

Given multiple simultaneous users accessing the dashboard, when high load conditions are simulated, then the response time should remain under 3 seconds while accurately displaying all integrated data.

Real-Time Notifications

"As a team member, I want to receive real-time notifications so that I can promptly react to important updates and ensure project milestones are met."

Description

A notification system designed to deliver real-time alerts for critical updates across communication channels, task management, and calendar systems. This feature will enhance responsiveness and ensure that team members are quickly informed of key changes or deadlines. It integrates seamlessly with the platform to push accurate and timely messages to end-users, thereby reducing delays in communication.

Acceptance Criteria

Immediate Alert Delivery

Given a critical update is generated, When the system detects the update, Then a real-time notification is delivered to all connected users within 5 seconds.

Cross-Platform Notification Consistency

Given the integration with multiple communication channels, When a notification is sent, Then it appears consistently across mobile and desktop platforms with accurate content.

Notification Acknowledgement

Given that a notification has been delivered, When a user clicks on the notification, Then their acknowledgment is logged and duplicate notifications for the same update are suppressed.

Urgency Based Notification Prioritization

Given a set of notifications with varying levels of urgency, When notifications are pushed to the user, Then urgent notifications are visually and audibly prioritized over non-urgent ones.

Seamless Data Sync

"As a project team member, I want my data automatically synchronized across tools so that I have access to the most up-to-date information without manual intervention."

Description

An automatic data synchronization component that ensures consistency and accuracy across all integrated systems, including calendar, messaging, and task tracking platforms. This feature minimizes the need for manual data entry and reduces errors, ensuring that every team member has access to the most current project information. The syncing process will be optimized for speed and accuracy, even when dealing with large volumes of data.

Acceptance Criteria

Initial Data Sync on System Startup

Given the system is launched, when the integrated systems (calendar, messaging, task trackers) send initial data, then the data synchronization component must automatically sync all data with 100% accuracy and log the sync event.

Real-time Synchronization During Active Session

Given a user updates any data on one platform, when the update is made, then the change must be propagated to all linked systems in real-time (within 2 seconds) with minimal latency and error.

Bulk Data Handling

Given a large volume of data (e.g., 1000+ records) is updated, when the sync process is initiated, then the synchronization must complete within the predefined performance threshold (e.g., under 5 seconds) without data loss or corruption.

Conflict Resolution Mechanism

Given concurrent updates occur on integrated systems, when data conflicts are detected during synchronization, then the system should resolve conflicts based on the last modified timestamp or predetermined rules and log all conflict resolution actions.

Intuitive Interface

"As a non-technical project manager, I want an intuitive interface so that I can quickly adopt and effectively use the system without extensive training."

Description

An easy-to-navigate user interface that facilitates effortless movement between different integrated platforms. This design will provide a consistent and engaging user experience, reducing the learning curve and increasing productivity. The interface is expected to be responsive and customizable, ensuring that team members can access the tools they need quickly and with minimal technical guidance.

Acceptance Criteria

Responsive Navigation Flow

Given the user is logged in, when they click any integrated system link, then the interface updates within 2 seconds without displaying errors.

Customizable Dashboard Layout

Given a team member accesses their dashboard, when they rearrange interface widgets, then the new layout is saved and persists across sessions.

Seamless Inter-Platform Integration

Given the user navigates from the Team Connector view to an integrated calendar, when scheduling a meeting, then the update is reflected in all connected platforms.

Effortless Task Management Navigation

Given the user switches between task trackers and communication channels, when performing any action, then a consistent UI behavior is maintained across all modules.

Accessible UI for New Team Members

Given a new team member logs in for the first time, when they interact with the interface, then contextual tooltips and help guides assist them in completing common tasks without external support.

High-Speed Interface Responsiveness

Given the user initiates an interface update (such as filtering or searching), when the operation executes, then the result is displayed within 1 second under standard conditions.

Workflow Harmonizer

Workflow Harmonizer automates scheduling adjustments by dynamically aligning team tasks with real-time project conditions. By leveraging predictive analytics, it fine-tunes task allocations and prevents work overlaps, enhancing overall productivity and maintaining a steady, coordinated workflow.

Requirements

Real-Time Schedule Adjustment

"As a construction project manager, I want real-time schedule adjustments so that I can immediately respond to changes and prevent work overlaps and delays."

Description

Automatically adjust team schedules in response to real-time project conditions, ensuring continuous alignment with evolving project demands. This functionality leverages predictive analytics to monitor project progress, detect potential conflicts, and enable proactive resource reallocation, thereby minimizing downtime and optimizing workflow efficiency through seamless integration with existing scheduling systems.

Acceptance Criteria

Real-Time Conflict Detection

Given that real-time project data is continuously fed into the system, when predictive analytics identify potential scheduling conflicts, then the system must alert the user and provide a set of alternative scheduling solutions.

Dynamic Resource Allocation

Given that there is a change in project conditions, when the system detects such changes through real-time monitoring, then it must automatically adjust resource allocations and update the team schedules accordingly.

Seamless Schedule Integration

Given existing scheduling systems are in place, when real-time adjustments occur in the workflow, then these changes must be seamlessly integrated and reflected across all connected scheduling interfaces.

Predictive Analytics Accuracy

Given the historical and real-time project data, when the system uses predictive analytics for schedule adjustments, then it must achieve at least a 90% accuracy rate in forecasting potential conflicts and required reallocations.

Predictive Task Allocation

"As a construction project manager, I want predictive task allocation so that tasks are assigned optimally, reducing delays and ensuring efficient project progression."

Description

Utilize historical data and current progress metrics to dynamically assign tasks based on team member skills, availability, and project deadlines. By integrating machine learning models, this requirement forecasts task durations and productivity outcomes, allowing for balanced workload distributions and proactive detection of potential resource shortages, leading to enhanced overall productivity.

Acceptance Criteria

Accurate Task Duration Prediction

Given a set of historical project and task data, when the predictive model is executed, then it shall forecast task durations within a margin of ±10% of actual outcomes.

Optimized Task Distribution

Given team member skills and availability, when task allocation is performed, then the system shall distribute tasks ensuring no member exceeds 120% of their standard capacity.

Real-Time Schedule Adjustment

Given dynamic updates in project progress metrics, when new data is received, then the system shall reallocate tasks within 2 minutes to reflect the latest conditions.

Proactive Resource Shortage Detection

Given ongoing project deadlines and current resource levels, when resource scarcity is detected before reaching critical limits, then the system shall alert managers and adjust task allocations by at least 15% in anticipation.

Avoiding Task Overlaps

Given overlapping schedules among team members, when new tasks are assigned, then the system shall validate and prevent any scheduling conflicts in real-time.

Conflict Detection and Resolution

"As a construction project manager, I want a conflict detection and resolution feature so that I can proactively address scheduling issues and maintain a smooth and coordinated workflow."

Description

Automatically detect and resolve scheduling conflicts by continuously analyzing task timelines and resource assignments. The system will offer early warnings and recommend alternative scheduling or task reassignments, integrating seamlessly with the project management dashboard to ensure that any detected conflicts are visible and manageable, thus reducing downtime and improving workflow consistency.

Acceptance Criteria

Real-time Conflict Detection Notification

Given a scheduled task conflict, when the system detects overlapping task timelines or resource assignments, then it must immediately notify the project manager and highlight the conflict on the dashboard.

Automated Conflict Resolution Recommendation

Given the identification of a scheduling conflict, when the system analyzes the conflict, then it should generate at least one alternative scheduling option or task reassignment to resolve the conflict.

Dashboard Conflict Visibility

Given multiple ongoing projects, when a scheduling conflict is detected, then the conflict must be clearly visible on the project management dashboard with distinct indicators and early warning alerts.

Predictive Conflict Prevention

Given historical and real-time project data, when new scheduling inputs are provided, then the system should use predictive analytics to identify potential conflicts before they occur and alert the manager proactively.

Post-Resolution Verification

Given that a conflict resolution action has been executed, when the system implements the recommended adjustments, then it should automatically verify that the conflict has been resolved and that workflow continuity is maintained.

Dashboard and Alert Integration

"As a construction project manager, I want an integrated dashboard with real-time alerts so that I can monitor project status at a glance and take immediate corrective actions when needed."

Description

Enhance the project management dashboard with real-time alerts and analytics visualizations that present key metrics, scheduling updates, predictive insights, and conflict notifications. This integrated interface allows project managers to quickly assess the status of their projects, make informed decisions, and intervene promptly when necessary, thereby promoting a data-driven approach to project management.

Acceptance Criteria

Real-Time Alert Notifications

Given the integrated dashboard, when project conditions trigger an alert such as scheduling conflicts or predictive insight indications, then a real-time pop-up notification displaying key metrics and conflict details should appear on the dashboard within 2 seconds of the event.

Interactive Analytics Visualization

Given the project management dashboard, when a user navigates to the analytics section, then the system should render interactive visualizations (charts and graphs) that reflect current key metrics, scheduling updates, and predictive analytics, ensuring the visuals update dynamically as data changes.

Conflict Notification Integration

Given that predictive analytics identify scheduling overlaps, when a conflict is detected, then the dashboard should automatically display a clear conflict notification with detailed information and suggested resolutions, updated in real-time.

Immediate Data Synchronization

Given real-time project updates, when new data is received or task statuses change, then both the analytics visualizations and alert notifications must synchronize and refresh within 2 seconds to accurately reflect the latest information.

User Interaction and Customization

Given the integrated dashboard, when a user customizes alert thresholds and dashboard settings, then these configurations should persist across sessions and correctly modify the behavior of alerts and visualizations as per the user's settings.

Rapid Recalibrator

Utilizes advanced dynamic recalculations to instantly adjust project timelines in response to changing conditions. This feature ensures minimal delays and seamless phase transitions to keep projects on track.

Requirements

Real-time Timeline Calculation

"As a construction project manager, I want the system to instantly recalculate my project timelines as conditions change so that I can maintain accurate and timely schedules."

Description

This requirement involves implementing real-time calculations to automatically adjust project timelines as conditions change, ensuring that scheduling remains accurate and current. By integrating dynamic project data and predictive analytics, it continuously recalculates timelines to minimize delays and optimize resource allocation, directly supporting PlanFusion's objective of precise scheduling in construction management.

Acceptance Criteria

Dynamic Workload Change

Given a change in workforce availability or project conditions, when new project data is received, then the project timeline must update in real-time within 2 seconds.

Predictive Analytics Adjustment

Given integration with historical data and predictive analytics, when recalculation is triggered, then the timeline must accurately reflect expected delays and resource allocations.

User Notification for Timeline Changes

Given that the timeline is recalculated in real-time, when modifications occur, then notifications with updated schedule details must be sent to users within 1 minute.

Accuracy Under Multiple Simultaneous Changes

Given multiple dynamic inputs occurring simultaneously, when processing project data, then the recalculation engine must update timelines accurately without data integrity issues.

System Performance Under Recalculation Load

Given a high-usage scenario with continuous dynamic data feed, when real-time calculations are performed, then the system must complete each update within 2 seconds and achieve a success rate of over 99%.

Dynamic Phase Transitioning

"As a construction project manager, I want the system to automatically adjust phase transitions based on current project progress so that unexpected delays do not disrupt the workflow."

Description

This requirement focuses on the dynamic recalibration of project phases by analyzing ongoing progress and adjusting phase boundaries in real time. With seamless integration into the existing project management dashboard, it enhances the coordination between pre-defined tasks and actual performance, thereby reducing downtime and ensuring smooth transitions throughout the project lifecycle.

Acceptance Criteria

Real-Time Phase Adjustment During Unexpected Delay

Given a sudden delay in field conditions, when the system receives an update, then the dynamic phase transitioning recalibrates timelines and boundaries to realign project phases.

Seamless Dashboard Integration

Given the project management dashboard is active, when a phase boundary adjustment occurs, then the dashboard displays the updated recalibrated boundaries immediately.

Dynamic Reallocation of Resources

Given a phase transition has been recalibrated, when the recalibration process completes, then the system automatically adjusts workforce schedules in alignment with the new timeline.

Minimizing Downtime During Transition

Given an ongoing project phase nearing completion, when dynamic phase transitioning is triggered, then the resultant project downtime should not exceed the predefined threshold of 5 minutes.

Predictive Analytics Accuracy

Given historical project data and current progress trends, when phase recalibration is executed, then the predictive analytics must achieve a minimum accuracy of 90% in forecasting phase transitions.

Automated Alert and Notification Integration

"As a construction project manager, I want to receive automated alerts when project timelines are recalibrated so that I can quickly evaluate and respond to any potential issues."

Description

This requirement specifies the integration of automated alerts and notifications within the Rapid Recalibrator module. When recalculations are performed or significant deviations from the original plan occur, the feature will trigger notifications to all relevant stakeholders, ensuring timely awareness and the opportunity for proactive decision-making. This complements predictive analytics by providing real-time communication on scheduling updates.

Acceptance Criteria

Recalculation Alert Trigger

Given the project timeline recalculations occur, when a significant deviation from the original schedule is detected, then the system automatically triggers alerts to all relevant stakeholders.

Real-Time Notification Delivery

Given a recalibration event, when the notifications are generated, then they must be delivered within 60 seconds to ensure timely decision-making.

Stakeholder Notification Logging

Given that notifications have been sent, when stakeholders receive them, then the system logs each notification delivery and acknowledgment for audit purposes.

Customizable Alert Configurations

Given the presence of multiple notification channels, when an administrator configures alert settings, then the interface must allow customization of thresholds, channels, and recipient groups in real-time.

Phase Accelerator

Automatically identifies phase transitions and potential bottlenecks, enabling swift activations as one phase concludes and the next begins. Project managers benefit from quicker turnarounds and smoother progress through the project lifecycle.

Requirements

Automatic Phase Transition Detection

"As a construction project manager, I want the system to automatically detect the end of a construction phase so that I can smoothly transition to the next phase without delays."

Description

This requirement involves the development of an automatic detection system that identifies phase transitions as soon as a project phase is completed. The system will analyze current phase metrics and trigger transition signals to begin subsequent phases without manual intervention, ensuring precision scheduling. Its integration with PlanFusion's predictive analytics will provide real-time phase changes and enhance project efficiency by reducing delays and manual oversight.

Acceptance Criteria

Real-Time Phase Completion Detection

Given a project phase is completed, when the system evaluates the phase metrics and confirms the completion thresholds are met, then an automatic transition signal should be initiated to trigger the start of the next phase.

Predictive Analytics Integration Validation

Given that phase metrics are being monitored, when the system integrates with predictive analytics and identifies potential bottlenecks, then it should automatically trigger a phase transition alert without manual intervention.

Automated Workflow Notification

Given the detection of a completed phase, when the transition signal is activated, then the system should automatically notify all relevant project managers via in-app notifications and emails.

Seamless Integration with Phase Accelerator Feature

Given the phase completion event, when the transition detection process is executed, then it should integrate seamlessly with the Phase Accelerator feature to ensure immediate and efficient phase activation.

Accurate Reporting and Logging

Given a successful phase transition, when the transition event is logged, then the system should record the timestamp, phase details, and analytics outcome accurately for future auditing.

Real-time Bottleneck Alert System

"As a construction project manager, I want to receive immediate alerts for potential bottlenecks so that I can proactively address issues and keep the project on schedule."

Description

Develop an alert system that monitors project progress in real-time, detecting potential bottlenecks at phase transitions before they become critical. This system will analyze both historical and current project data to forecast delays and highlight problem areas, enabling project managers to intervene promptly. Its integration will ensure more resilient and adaptable project schedules, reducing overall delay risks.

Acceptance Criteria

Real-time Alert Activation

Given that project data is continuously fed into the system, when a phase transition occurs and deviations from historical trends are detected, then a real-time bottleneck alert is automatically triggered.

Historical Data Integration

Given that historical project data is available, when the system compares current phase performance to past trends, then it forecasts delays and generates alerts if potential bottlenecks are indicated.

User Notification and Intervention

Given that a potential bottleneck is identified, when the alert system is triggered, then the project manager receives immediate notifications on both the dashboard and mobile devices.

Alert Reliability and Accuracy

Given that the system monitors project progress in real-time, when the predictive model identifies possible delays, then the alert system must achieve an accuracy rate of at least 90% compared to manual verifications.

Seamless Integration with Phase Accelerator

Given that the Phase Accelerator feature identifies phase transitions, when integrated with the alert system, then automated bottleneck alerts are delivered seamlessly with no noticeable latency.

Dynamic Workflow Synchronization

"As a construction project manager, I want my project phases to sync dynamically so that I can ensure that the transition between different project stages is smooth and efficient."

Description

Implement a dynamic synchronization layer that aligns the start of new phases with the completion of previous ones. It ensures that resources, personnel, and timelines are seamlessly adjusted, reducing idle time and miscommunication. The synchronization mechanism will integrate with workforce management tools and real-time scheduling to streamline transitions across different project segments.

Acceptance Criteria

Phase Transition Alignment Validation

Given the previous phase has been completed, When the final task is marked as complete, Then the system automatically initiates the next phase's activation procedure while adjusting resources.

Real-Time Schedule Integration

Given an update in the workforce management tool, When resource availability changes are detected, Then the dynamic synchronization layer updates the phase start and adjusts timelines accordingly.

Minimized Idle Time Assurance

Given the completion of a phase, When the synchronization process is triggered, Then the system ensures no resource idling exceeds the acceptable threshold and logs alerts for potential delays.

Integration with Predictive Analytics

Given a shift in project metrics predicted by the forecasting tool, When a phase transition is imminent, Then the system automatically adjusts workforce allocation and timelines to mitigate bottlenecks.

Resource Reallocation Confirmation

Given the completion of the previous phase, When resources are reallocated, Then the system confirms and displays new resource assignments and timeline adjustments on the dashboard.

Integration with Predictive Analytics

"As a construction project manager, I want the accelerator to integrate with predictive analytics so that I can better anticipate project delays and optimize scheduling based on data-driven insights."

Description

Create an interface between the Phase Accelerator and PlanFusion's predictive analytics module to leverage data trends in phase completions and bottleneck occurrences. This requirement will enhance forecasting accuracy, allow for data-driven decisions, and provide a comprehensive view of project progression, thus enabling better resource and time management.

Acceptance Criteria

Seamless Data Exchange

Given that the predictive analytics module continuously updates data, When the Phase Accelerator requests the latest phase completion trends, Then the integration must exchange data within 2 seconds with no data loss.

Real-Time Predictive Forecasting

Given the system is monitoring ongoing project phases, When the Phase Accelerator triggers data retrieval for forecasting bottlenecks, Then the predictive analytics module must provide updated forecast trends with at least 95% accuracy.

Error Handling for Data Failures

Given that there might be connectivity issues or data inconsistencies, When the Phase Accelerator experiences a data retrieval error, Then the integration should log the error, notify the user, and automatically retry the data request.

User Feedback on Data Accuracy

Given that the integration displays predictive analytics results to the project manager, When a phase transition is completed, Then the system must provide a confirmation prompt for the user to verify the accuracy of forecasted data, ensuring that decisions are data-driven.

Integration Response Time Compliance

Given that quick decision-making is critical, When the Phase Accelerator calls the predictive analytics module, Then the response time must be under 3 seconds to ensure a seamless transition between project phases.

Customizable Alert Preferences

"As a construction project manager, I want to customize how I receive alerts regarding phase transitions and potential issues so that the system meets my operational preferences and project requirements."

Description

Provide customizable options in the alert system to let project managers tailor notifications as per their project needs. This will include options for alert types, frequency, and notification mode (email, SMS, dashboard alert), ensuring that managers receive relevant and timely information according to their operational preferences. The customization improves user experience and ensures the right information reaches the right personnel without overwhelming them.

Acceptance Criteria

User Customizes Alert Types

Given a project manager is on the alert preference settings page, When they choose specific alert types (e.g., phase transition notifications, delay alerts), Then only selected alert notifications should be activated for their account.

User Sets Notification Frequency

Given a project manager is configuring alert preferences, When they select the desired frequency for notifications (e.g., immediate, hourly, daily summary), Then the system must schedule notifications accordingly.

User Chooses Notification Mode

Given a project manager is selecting how notifications are received, When they choose one or more modes (e.g., email, SMS, dashboard alert), Then the system must deliver notifications using all the selected methods concurrently.

Custom Alert Configuration Saves Successfully

Given a project manager has set their custom alert preferences, When they click the 'Save' button, Then the system confirms successful saving and displays the updated settings without error.

Momentum Monitor

Continuously tracks project pace and detects dips in momentum. With real-time alerts and actionable insights, managers can adjust schedules proactively to maintain a consistent and accelerated workflow.

Requirements

Real-Time Momentum Tracking

"As a construction project manager, I want real-time updates on project progress so that I can quickly make informed decisions to keep the project on schedule."

Description

The system must continuously gather project data to measure the current work pace, and update a dashboard in real time with metrics reflecting the progressive momentum of construction projects. This capability will leverage predictive analytics to provide immediate data visibility, ensuring project managers can monitor progress instantly and verify if project momentum meets predefined benchmarks.

Acceptance Criteria

Real-Time Data Aggregation

Given the project is in progress, when project data is updated, then the dashboard metrics must refresh in real time without requiring manual intervention.

Predictive Analytics for Momentum Dips

Given historical project data, when the system detects a dip in the current work pace below predefined benchmarks, then an alert with actionable insights must be generated immediately.

Dashboard Accuracy Verification

Given data inputs from multiple sources, when the dashboard updates, then the displayed metrics must achieve an accuracy level of at least 99% compared to calculated benchmarks.

User Alert on Momentum Deviation

Given the dashboard monitors real-time momentum, when a significant deviation from expected progress is observed, then a notification should be sent to the project manager's interface within 2 minutes.

Continuous Data Stream Handling

Given continuous project data feeds, when high data volumes occur during peak hours, then the system must maintain performance with an update delay of no more than 5 seconds.

Momentum Dip Alert

"As a construction project manager, I want to receive prompt alerts when project momentum dips so that I can proactively address potential delays."

Description

The system shall integrate an alert mechanism that detects dips in project momentum. It will analyze performance metrics against historical and predictive baselines and trigger immediate alerts to notify managers, allowing them to take corrective action before delays compound.

Acceptance Criteria

Real-Time Alert Detection

Given that the system receives live project performance data, when a significant dip in momentum occurs compared to historical and predictive thresholds, then an immediate alert should be sent to the project manager's dashboard and mobile device.

Alert Content Verification

Given that a momentum dip alert is triggered, when the alert is generated, then the alert content must include the dip percentage, impacted tasks, and suggested corrective actions.

Performance Threshold Configuration

Given that the project manager has access to system settings, when they modify historical baseline parameters, then the system should update and recalibrate the momentum dip detection thresholds accordingly.

Alert Acknowledgement and Logging

Given that a momentum dip alert is received, when the project manager acknowledges the alert, then the system should log the acknowledgement, timestamp, and any subsequent action taken by the manager.

Actionable Insight Recommendations

"As a construction project manager, I want actionable recommendations to improve project scheduling so that I can effectively reallocate resources and prevent delays."

Description

The feature must provide actionable insights with recommended adjustments based on real-time project data. It integrates with scheduling tools to suggest optimized reallocation of tasks and resources, helping managers maintain a consistent workflow momentum.

Acceptance Criteria

Real-Time Alert Activation

Given that real-time project data updates are occurring, when a dip in workflow momentum is detected, then the system must trigger an actionable insight recommendation along with a real-time alert to the project manager.

Optimized Task Reallocation

Given that the scheduling tools are integrated, when actionable insights are generated, then the system shall suggest optimized task and resource reallocations on the dashboard for project managers to review.

Insight Recommendation Accuracy

Given the historical performance data and current project metrics, when recommendations are provided, then they must achieve at least 90% alignment with manual scheduling analysis based on predetermined benchmarks.

Customizable Momentum Benchmarks

"As a construction project manager, I want to set custom benchmarks for project momentum so that the monitoring system accurately reflects my project’s unique needs."

Description

The feature should allow for customizable momentum benchmarks that can be tailored based on unique project factors such as team size, project scope, and complexity. Managers can configure thresholds that best reflect their project’s performance expectations, ensuring the system’s alerts and recommendations are aligned with specific project realities.

Acceptance Criteria

Benchmark Configuration Setup

Given a project manager is logged into PlanFusion and navigates to the Momentum Monitor, when they access the momentum benchmarks configuration panel, then they must be able to customize benchmarks for team size, project scope, and complexity.

Dynamic Alert Adjustment

Given custom momentum benchmarks are configured, when the system detects a dip in momentum, then it should trigger real-time alerts and actionable insights that align with the defined thresholds.

Real-Time Data Integration

Given the momentum benchmarks are set, when the system collects real-time project data, then it must continuously evaluate performance against the custom benchmarks and update the dashboard accordingly.

Immediate Settings Reflection

Given a project manager updates benchmark thresholds, when the update is submitted, then the system must save the new settings and immediately apply them during subsequent momentum evaluations.

Agile Timeline Optimizer

Leverages predictive analytics to fine-tune task sequences and reallocate resources dynamically. By constantly optimizing timelines, it ensures rapid adjustments that cut delays and enhance overall project efficiency.

Requirements

Real-time Data Ingestion

"As a construction project manager, I want real-time data updates so that I can adjust project schedules immediately in response to any changes."

Description

Continuously gather and process data from various construction project management sources in real time to update predictive analytics and timeline adjustments. This ensures that every change in project status is immediately reflected, allowing for prompt decision-making and effective resource allocation.

Acceptance Criteria

Initial Data Connection

Given that the system is connected to multiple construction data sources, when a change occurs in any source, then the data ingestion module must capture and process the update within 5 seconds.

Continuous Data Streaming

Given a constant flow of data from integrated project management tools, when new data arrives, then the system shall update predictive analytics and timeline adjustments in real-time with a latency not exceeding 1 second.

Fault Tolerance

Given a temporary loss of connectivity to a data source, when connectivity is restored, then the system must automatically retrieve and process any missed data updates to maintain real-time accuracy.

Resource Reallocation Trigger

Given the identification of significant changes in project status, when the data ingestion engine processes these changes, then the system must immediately trigger alerts and provide recommendations for resource reallocation.

Scalability Check

Given a surge in the volume of incoming data, when high-frequency updates occur, then the system must handle the load without performance degradation, ensuring all updates are processed in real-time.

Dynamic Rescheduling Engine

"As a project manager, I want the timeline to automatically adjust in response to delays so that I can maximize productivity and minimize losses."

Description

Integrate a dynamic rescheduling algorithm that automatically adjusts task sequences based on predictive insights and unexpected delays. This capability ensures that timelines are optimally recalibrated to maintain project efficiency while reducing downtime.

Acceptance Criteria

Unexpected Delay Handling

Given an unexpected delay occurs during construction, when the dynamic rescheduling engine processes real-time data, then the system automatically recalibrates task sequences and reallocates resources to minimize downtime.

Predictive Insight Integration

Given that predictive analytics provide updated insights, when the engine recalculates the schedule, then it should optimize the task order to reduce delays and labor costs.

Real-Time Feedback Update

Given continuous project monitoring, when real-time feedback indicates a deviation from planned progress, then the dynamic rescheduling engine must trigger an immediate schedule update and notify the project manager.

User Interaction and Notification

Given a rescheduling event, when a project manager accesses the timeline, then the system displays a clear notification outlining the changes, reasons, and suggested actions.

Resource Allocation Optimizer

"As a project manager, I want resources to be reallocated dynamically so that I can reduce project delays and optimize overall operational costs."

Description

Implement a resource allocation module that analyzes updated timelines to redistribute manpower and equipment efficiently. This requirement ensures that resources are utilized effectively, reducing idle time and cutting excess labor costs.

Acceptance Criteria

Dynamic Resource Reallocation

Given that project timelines are updated, When the Resource Allocation Optimizer processes the new schedule, Then it should reallocate manpower and equipment within 5 minutes to maximize efficiency.

Manpower Optimization

Given a roster of available personnel, When the module analyzes current task sequences, Then it must assign team members to tasks based on skill sets and availability, reducing idle time by at least 20%.

Idle Resource Detection

Given ongoing projects with fluctuating timelines, When idle resources are detected, Then the system should flag these resources and suggest reallocation options within the dashboard.

Predictive Analytics Integration

Given updated predictive analytics data, When adjustments in resource allocation are required, Then the module must use the analytics to optimize both manpower and equipment distribution, resulting in a measurable decrease in labor costs.

Real-Time Optimization Feedback

Given real-time changes in project parameters, When the Resource Allocation Optimizer is active, Then it should provide immediate feedback and suggestions to project managers for resource re-allocation adjustments, ensuring continuous optimization.

Interactive Timeline Dashboard

"As a project manager, I want a clear visual dashboard of timeline changes so that I can quickly understand and respond to project dynamics."

Description

Develop an interactive user interface that visually represents real-time timeline adjustments and resource reallocation. This dashboard will provide intuitive insights and clear, actionable data, enabling project managers to monitor and manage changes swiftly.

Acceptance Criteria

Real-Time Update Verification

Given a valid project timeline and resource allocation, when a change occurs (e.g., resource reallocation), then the dashboard must automatically update the timeline view within 2 seconds.

Interactive Data Drill-Down

Given an active timeline display, when a user clicks or hovers over a timeline element, then detailed insights and task-specific data must be presented in a zoomed view or modal overlay.

Predictive Analytics Integration

Given continuous input from predictive analytics, when the system processes new data, then the dashboard must refresh and reflect optimized task sequences and correct resource allocation accordingly.

User Interaction Feedback

Given user actions on the dashboard (such as rescheduling tasks or reallocating resources), when the action is completed, then the system should provide immediate visual and data confirmation of the update.

Visual Spark

Transforms complex predictive analytics into intuitive, interactive dashboards. Visual Spark simplifies data into clear graphics, enabling users to swiftly identify trends and potential issues, which facilitates rapid, informed decision-making.

Requirements

Dynamic Data Visualization

"As a construction project manager, I want dynamic visualizations that update in real time, so that I can quickly grasp project trends and make timely decisions."

Description

The dynamic data visualization requirement will convert large sets of predictive analytics into interactive, customizable visual elements on dashboards. It integrates seamlessly with PlanFusion, allowing construction project managers to interact with real-time data with ease, enhancing decision making by highlighting critical project insights through intuitive designs.

Acceptance Criteria

User Dashboard Interaction

Given a construction project manager is logged into PlanFusion and viewing the dashboard, When they interact with the dynamic data visualization by applying a project filter, Then the dashboard should update the visual elements within 2 seconds to reflect the filtered data.

Real-Time Data Update

Given that the system receives new predictive analytics data in real time, When the dashboard is actively monitored, Then the visualizations should automatically refresh and display the updated data within a predetermined time threshold.

Customization of Visual Elements

Given that a project manager accesses customization options, When they adjust visual elements such as color schemes or data representation styles, Then the dashboard should apply these changes instantly and ensure they persist across user sessions.

Trend and Issue Identification

Given that the predictive algorithms highlight critical project insights, When underlying trends or risks are detected, Then the dashboard should use distinct visual cues (e.g., alerts or color changes) to clearly indicate potential issues.

Interactive Dashboard Filters

"As a project manager, I want to apply filters on my dashboard so that I can customize the data view to focus on the most relevant project details."

Description

This requirement introduces interactive filters that allow users to drill down into specific segments of data on the dashboard. The filters provide precision control to isolate project phases, workforce performance metrics, and predictive trends, thereby enabling a tailored view of the analytics and improving responsiveness to emerging issues.

Acceptance Criteria

Filter Display on Dashboard

Given a construction project manager accesses the interactive dashboard, when the dashboard loads, then interactive filters for project phases, workforce performance metrics, and predictive trends are clearly visible and accessible.

Drill-Down Data Filtering

Given a user selects a specific project phase from the interactive filters, when the filter is applied, then the dashboard updates to display only the data and insights relevant to that project phase.

Responsive Filtering Interaction

Given a user applies multiple interactive filters simultaneously, when the filters are used, then the dashboard refreshes within 2 seconds to display the updated filtered data.

Accurate Data Representation via Filters

Given that interactive filters are applied individually or in combination, when data is filtered, then the dashboard accurately reflects the filtered data with corresponding visualizations and analytics.

Filter Reset Functionality

Given that interactive filters have been used, when the user selects the reset option, then all filters revert to their default state and the dashboard displays the complete set of analytics.

Real-Time Alert System

"As a construction project manager, I want to receive instant alerts for unusual trends so that I can address issues before they escalate."

Description

The requirement describes implementing a real-time alert system that integrates with the predictive analytics engine to provide instant notifications for deviations or emerging issues. This capability ensures that critical project changes or delays are highlighted immediately, enabling proactive management and reducing overall project risk.

Acceptance Criteria

Deviation Alert Notification

Given the predictive analytics engine identifies a deviation, when the deviation exceeds a predefined threshold, then an immediate alert must be sent to the project manager.

Interactive Alert Dashboard

Given a real-time alert is generated, when the user accesses the Visual Spark dashboard, then the alert details, including the reason and timestamp, must be clearly displayed.

Alert Response Acknowledgement

Given an alert notification has been received, when the project manager acknowledges the alert within the system, then the system must record the acknowledgment with a timestamp for audit purposes.

Customizable Reporting Module

"As a construction project manager, I want to generate customizable reports from my dashboard so that I can share precise insights with my team and stakeholders."

Description

This requirement focuses on developing a customizable reporting module that allows users to generate detailed reports directly from the interactive dashboards. It offers templates and custom report features which enable users to extract and share actionable insights, further integrating predictive insights to optimize project scheduling and workforce coordination.

Acceptance Criteria

Real-Time Report Customization

Given a project manager is viewing the interactive dashboard, When they select the customizable reporting module and choose a report template, Then the system must allow real-time customization with immediate preview of template changes.

Template Integration for Detailed Reports

Given that multiple predefined templates are available, When a user selects one to generate a report, Then the system must integrate predictive analytics data accurately into the report and allow further adjustments.

Export and Share Reports

Given that a report has been generated, When the user opts to export the report, Then the system should generate the report in multiple formats (e.g., PDF, Excel) with options for immediate sharing.

User-Defined Data Filtering for Reports

Given that a project manager needs a tailored report, When they apply custom data filters, Then the system must accurately reflect only the selected data points, ensuring that all predictive insights are correctly represented.

Predictive Trends Analysis

"As a construction project manager, I want predictive trend analysis so that I can anticipate project pitfalls and make proactive adjustments to the schedule."

Description

This requirement aims to further enhance the Visual Spark feature by incorporating advanced predictive trends analysis that uncovers hidden patterns in project data. By combining historical performance with real-time metrics, it provides an advanced layer of analytics to forecast potential delays, enabling more informed strategic planning and timely interventions for smoother project execution.

Acceptance Criteria

Historical and Real-Time Data Integration

Given historical performance data and real-time metrics are available, when the predictive trends analysis is executed, then the system must accurately integrate both data sets to uncover hidden patterns.

Advanced Predictive Analytics Visualization

Given the integrated data has been processed by Visual Spark, when a user accesses the predictive trends dashboard, then the system must display clear, interactive graphics highlighting forecasted delays and risk factors.

User-Driven Forecast Filtering

Given the user has options to filter predictive outcomes, when the filter criteria are applied (e.g., date range, risk factors), then the system should update the predictive analysis in real-time to reflect the selected parameters.

Error Handling and Data Integrity

Given potential instances of missing or erroneous data, when the system encounters data retrieval issues, then it must provide a clear error notification and revert to the most reliable known dataset without crashing.

Insight Pulse

Continuously monitors analytics data and triggers real-time alerts when significant deviations or trends emerge. Insight Pulse empowers project managers to respond instantly to evolving scenarios, minimizing risks and capitalizing on opportunities.

Requirements

Real-Time Anomaly Detection

"As a project manager, I want the system to automatically detect and alert me to abnormal data patterns so that I can address potential project risks immediately."

Description

Implement continuous monitoring of analytics data to detect significant deviations from expected patterns. This functionality leverages predictive analytics to identify unusual trends or outliers in real time, enabling timely responses to emerging issues or opportunities.

Acceptance Criteria

Immediate Alert Generation

Given that analytics data is being continuously monitored, when the system identifies an anomaly exceeding a configurable threshold, then an immediate alert must be generated and displayed on the dashboard.

Anomaly Accuracy Validation

Given historical data patterns, when a potential anomaly is detected, then the system must validate the anomaly against baseline patterns with at least 95% accuracy before triggering alerts.

Real-Time Monitoring Performance

Given high-volume data streams, when the system is processing continuous data for anomaly detection, then it should maintain a response time of less than 2 seconds for generating alerts.

Predictive Analytics Forecasting

Given the integration of predictive analytics, when significant deviations occur, then the system must forecast potential project delays or budget overruns with a minimum accuracy of 80%.

User Acknowledgement and Follow-up

Given that an anomaly alert has been generated, when the project manager acknowledges the alert, then the system should log the response time and follow-up actions for audit and analysis purposes.

Dynamic Alert Configuration

"As a project manager, I want to set my own thresholds for alerts so that I receive notifications that are tailored to the unique demands of my projects."

Description

Develop a flexible tool that allows project managers to customize alert thresholds and criteria based on specific project needs. This feature integrates seamlessly with the analytics backend to ensure that only relevant deviations trigger notifications.

Acceptance Criteria

Alert Threshold Customization Scenario

Given a project manager on the dashboard, when they access the Dynamic Alert Configuration tool, then they must be able to set and save custom thresholds for notifications successfully.

Real-Time Alerts Adjustment Scenario

Given that analytics data is received in real-time, when the alert configuration is modified, then the system should immediately adjust thresholds to reflect new parameters in live alerts.

Integration with Analytics Backend Scenario

Given the integration with the analytics backend, when an alert is triggered, then the system should verify that the alert conditions exactly match the configured criteria before sending notifications.

User Interface Consistency Scenario

Given the configuration interface, when a project manager navigates through the alert settings, then the UI elements should be consistent and intuitive, providing real-time validation messages.

Data Persistence and Recovery Scenario

Given that alert configurations are saved, when a user logs out and logs back in, then the previously set thresholds and criteria must be accurately retrieved and displayed.

Error Handling and Feedback Scenario

Given invalid input parameters, when the project manager attempts to save the configuration, then the system should display a clear error message and prevent saving until corrections are made.

Incident Escalation Workflow

"As a project manager, I want critical alerts to be escalated automatically to the relevant team members so that urgent issues are addressed promptly and efficiently."

Description

Implement an automated escalation protocol that routes alerts to appropriate team members based on the severity of the detected anomalies. This workflow ensures prompt engagement and resolution by directing critical information to higher-level decision-makers when necessary.

Acceptance Criteria

Immediate Escalation for High Severity Incidents

Given a detected high severity anomaly, when the alert is triggered by Insight Pulse, then the escalation protocol routes the alert directly to senior management within one minute.

Tiered Escalation for Medium Severity Incidents

Given a medium severity anomaly, when the alert is triggered, then the system routes the alert to the project manager and escalates to higher-level decision-makers if no acknowledgment is received within five minutes.

Escalation Audit Trail Validation

Given an escalated alert, when the incident escalation workflow is executed, then the system logs a complete audit trail including timestamps, recipient details, and resolution actions for compliance verification.

Automated Acknowledgment Confirmation

Given an escalated alert, when the recipient acknowledges the alert, then the system updates the incident dashboard to reflect the acknowledgment and halts further escalation for that incident.

Decision Beacon

Guides users by combining layered predictive visuals with actionable recommendations. Decision Beacon breaks down complex data into clear, step-by-step insights, making it easier for managers to make swift, effective decisions.

Requirements

Interactive Predictive Visuals

"As a construction project manager, I want to view layered predictive visuals so that I can quickly understand project risks and make timely, informed decisions."

Description

Develop a modular visual interface that displays layered predictive analytics with actionable recommendations. The interface should integrate with PlanFusion's data models to present complex construction project data in intuitive, color-coded segments. It must enable dynamic filtering, real-time updates, and seamless interaction across multiple data layers to enhance decision-making.

Acceptance Criteria

Real-Time Data Updates

Given updated project data is available, when the user accesses the interactive predictive visuals, then the interface must reflect changes in real-time within 5 seconds.

Dynamic Filtering Functionality

Given multiple predictive data layers are integrated, when the user applies filters to refine the data, then the interface must update the visuals immediately to show only the relevant data segments.

Modular Visual Interaction

Given a modular visual interface with layered analytics, when the user selects a visual segment, then the system must display detailed actionable recommendations in a clear, intuitive manner.

Seamless Cross-Layer Navigation

Given an interface integrating multiple data layers, when the user interacts with overlapping segments, then transitions between layers must be smooth with no noticeable latency or data discrepancies.

Actionable Recommendation Engine

"As a construction project manager, I want a recommendation engine that offers precise actionable steps so that I can proactively address project challenges and ensure timely completion."

Description

Implement a recommendation engine that leverages predictive analytics to provide clear, step-by-step guidance for managing project schedules and mitigating risks. The engine should generate actionable next steps based on real-time project data and seamlessly integrate with PlanFusion’s existing data infrastructure to ensure recommendations are accurate and timely.

Acceptance Criteria

Real-Time Data-driven Recommendation

Given that real-time project data is available and processed, when a deviation from the schedule is detected, then the recommendation engine should generate a step-by-step action plan to mitigate the delay and log the recommendation with a timestamp.

Predictive Maintenance Advisory

Given that predictive analytics identify a risk in workforce availability, when the engine processes such data, then it should output actionable recommendations to reallocate resources or notify relevant teams, ensuring timely adjustments.

Integration with PlanFusion Infrastructure

Given that the engine integrates with existing PlanFusion data sources, when it fetches and aggregates disparate data points, then it must validate data consistency and produce accurate recommendations based on the merged information.

Adaptive Recommendation Update

Given that project schedules are dynamic, when new data is received in real-time, then the engine should re-evaluate and update recommendations within 1 minute, logging any changes for audit purposes.

User-Guided Explanation Request

Given that a user selects a recommendation, when the user requests further explanation, then the system should provide a detailed breakdown of the influencing factors and steps, including relevant supporting data points.

Drill-Down Analysis Functionality

"As a construction project manager, I want to drill down into visual data so that I can uncover detailed metrics behind project delays and identify targeted solutions."

Description

Develop a drill-down feature allowing users to interact with any predictive visual segment to access detailed underlying metrics and contextual explanations. This functionality should streamline complex datasets into accessible, granular insights to facilitate in-depth analysis, ultimately empowering users to pinpoint and resolve project issues.

Acceptance Criteria

Interactive Predictive Visual Drill-Down

Given a user is viewing a predictive visual on Decision Beacon, when the user clicks on any segment, then detailed underlying metrics and contextual explanations are displayed accurately.

Granular Data Insight Retrieval

Given a segment of the predictive visual is selected, when the drill-down functionality is activated, then all associated granular data and explanations are loaded within 2 seconds.

User Guided Contextual Analysis

Given a predictive metric segment is identified, when the user requests more information, then actionable recommendations and data context are presented in a concise and clear format.

Real-time Data Integration

"As a construction project manager, I want real-time data integration so that I can rely on the latest project information for effective decision-making."

Description

Integrate real-time data feeds into the Decision Beacon feature to ensure that predictive insights and recommendations are always based on the most current information. This integration should pull from existing data sources, update visualizations dynamically, and maintain system responsiveness to support rapid decision-making without disrupting user interactions.

Acceptance Criteria

Live Data Feed Activation

Given a real-time data feed is subscribed, when new data arrives, then the Decision Beacon updates its predictive visuals within 2 seconds without disrupting ongoing user interactions.

Data Source Synchronization

Given multiple existing data sources, when an update is received from any source, then all related predictive analytics in Decision Beacon refresh concurrently to reflect the newest data.

System Responsiveness Under High Load

Given high-frequency data inputs, when the system processes simultaneous updates, then the interface maintains responsiveness with update delays not exceeding 2 seconds.

Error Handling for Unstable Feeds

Given an interruption or delay in the data feed, when the anomaly is detected, then Decision Beacon displays a fallback notification and logs the error for troubleshooting while maintaining user operations.

UI Dynamic Visualization Update

Given a user actively interacting with the Decision Beacon feature, when new real-time data is integrated, then visualizations update dynamically without requiring manual refresh or causing interface disruptions.

Action Amplifier

Integrates interactive simulation tools to model various scenarios and assess potential outcomes in real time. Action Amplifier helps users test strategies before implementation, optimizing project plans with data-driven foresight.

Requirements

Interactive Simulation Engine

"As a project manager, I want to simulate different project scenarios so that I can evaluate potential risks and outcomes before implementation."

Description

Incorporate an interactive simulation engine that enables users to model various construction project scenarios in real time. This engine leverages dynamic data inputs and predictive analytics to offer comprehensive insights and risk assessments, ensuring optimal project planning and proactive risk management.

Acceptance Criteria

Real-Time Scenario Modeling

Given a set of dynamic data inputs, when a user runs a simulation, then the engine computes predictive analytics and provides a comprehensive risk assessment report in real time.

Interactive Scenario Adjustment

Given that the engine is running a simulation, when a user adjusts parameters interactively, then the simulation updates and displays new predictive outcomes instantly.

Scenario Outcome Visualization

Given a simulation is completed, when a user reviews the outcome dashboard, then the engine displays visual charts and data summaries accurately reflecting the predictive analytics.

Pre-Implementation Strategy Testing

Given various simulated project strategies, when a user selects different scenarios for testing, then the engine outputs a comparative analysis of risk and resource allocation.

Data Input Validation

Given a user entering simulation data, when the engine processes the inputs, then it validates all data, flags errors, and prompts user corrections for any invalid or missing information.

Real-time Outcome Visualization

"As a project manager, I want to view simulation results through clear, interactive visuals so that I can quickly understand project risks and benefits."

Description

Develop a real-time visualization dashboard that presents simulation outcomes and predictive analytics through intuitive graphs and charts. This dashboard will help users quickly interpret modelled scenarios, making it easier to assess project impacts and identify opportunities for improvement.

Acceptance Criteria

Initial Data Load Visualization

Given the dashboard is launched, when live simulation data is streamed, then the system must display updated graphs and charts without noticeable delay.

Interactive Graph Navigation

Given the dashboard displays interactive visual elements, when a user selects or hovers over a data point, then the system must provide zoom and filter options that update the visualizations instantly.

Predictive Analytics Accuracy Check

Given historical project data is used to generate predictions, when the real-time dashboard displays analytical outcomes, then the accuracy should be within a 5% deviation of the expected results.

Simulation Scenario Comparison

Given multiple simulation scenarios are executed, when a user selects the comparative view option, then the dashboard must present side-by-side charts with clearly labeled metrics for each scenario.

Real-time Update Indicator

Given the continuous execution of simulation models, when significant adjustments in predicted outcomes occur, then a real-time indicator must be displayed with an animated alert to draw the user’s attention promptly.

Action Plan Recommendation Engine

"As a project manager, I want to receive actionable recommendations based on simulation results so that I can implement the most effective strategies to streamline project execution."

Description

Integrate an action plan recommendation engine that analyzes simulation data and predictive insights to generate optimal project strategies. This feature will use historical trends and real-time conditions to suggest targeted actions that enhance project efficiency and reduce unforeseen delays.

Acceptance Criteria

Real-Time Simulation Analysis

Given historical trends and simulation data are available, when a new project simulation is executed, then the action plan recommendation engine should output a prioritized list of strategies with quantified success probabilities.

Predictive Data Integration

Given real-time conditions and data updates, when the simulation tool processes new data, then the recommendation engine should automatically update its strategy suggestions within 2 seconds using the latest predictive insights.

Interactive Strategy Testing

Given a user engages with simulation options, when they select a specific strategy for testing, then the recommendation engine should display detailed metrics on potential delay reductions and labor cost savings based on historical performance.

Product Details

Vision & Mission

Problem & Solution

Details & Audience

User Personas

Precision Patrick

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Agile Amy

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Budget Ben

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Coordination Claire

Background

Needs & Pain Points

Needs

Pain Points

Psychographics

Channels

Product Features

Real-Time Alerts

Requirements

Disruption Detection Alert

Description

Acceptance Criteria

Detailed Alert Information

Description

Acceptance Criteria

Alert History and Analytics

Description

Acceptance Criteria

Dynamic Rescheduler

Requirements

Predictive Data Integration

Description

Acceptance Criteria

Automated Schedule Optimization

Description

Acceptance Criteria

Real-Time Adjustment Notifications

Description

Acceptance Criteria

User-Friendly Reschedule Interface

Description

Acceptance Criteria

Timeline Visualizer

Requirements

Real-time Data Integration

Description

Acceptance Criteria

Interactive Timeline Navigation

Description

Acceptance Criteria

Deviation Alert System

Description

Acceptance Criteria

Milestone Analyzer

Requirements

Predictive Risk Scoring

Description

Acceptance Criteria

Actionable Recommendation Module

Description

Acceptance Criteria

Interactive Milestone Dashboard