Real Estate Software

ShowJoy

Turn Showings Into Sold Moments

ShowJoy is a smart real estate showing platform for agents and brokers managing multiple listings. It automates scheduling and instantly collects buyer feedback via one-tap mobile surveys, saving agents seven hours a week, tripling response rates, and delivering clear, actionable reports that help close deals faster and keep sellers delighted.

Subscribe to get amazing product ideas like this one delivered daily to your inbox!

ShowJoy

Product Details

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

Vision & Mission

Vision
To empower real estate agents worldwide to create joyful, seamless showings that delight clients and accelerate every sale.
Long Term Goal
Within five years, empower 50,000 agents worldwide to triple their client feedback response rates and accelerate property sales, making ShowJoy the industry standard for real estate showing success.
Impact
Saves real estate agents over 7 hours weekly on manual follow-ups, increases visitor feedback responses by 300%, and improves seller satisfaction scores by 40%, enabling faster property sales and stronger client relationships for agents managing multiple listings.

Problem & Solution

Problem Statement
Busy real estate agents and brokers waste hours manually coordinating showings and chasing feedback because current tools are fragmented and cumbersome, leading to missed insights, delayed seller updates, and ultimately slower property sales and client dissatisfaction.
Solution Overview
ShowJoy automates real estate showing schedules and delivers instant, one-tap feedback surveys directly to visitors’ phones, eliminating manual follow-up and paperwork so agents capture honest buyer insights immediately and provide sellers with clear, actionable updates—fueling faster sales and happier clients.

Details & Audience

Description
ShowJoy streamlines real estate showings by automating scheduling, feedback collection, and seller reports. Built for busy agents and brokers managing multiple listings, it eliminates manual follow-ups and missed insights. The standout one-tap visitor survey captures three times more feedback instantly, helping agents boost seller satisfaction and close deals faster—all in one intuitive platform.
Target Audience
Busy real estate agents and brokers (30-55) juggling multiple listings, craving fast, automated showing feedback.
Inspiration
At a bustling Sunday open house, I watched three agents juggling clipboards and phones, scrambling to track who came and what buyers thought. A frustrated visitor, eager to give honest feedback, left without a word—turned off by the hassle of paper forms. That small, lost moment became the spark: real estate showings needed instant, joyful feedback—automatic, effortless, never missed.

User Personas

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

M

Metric Mike

- Age: 42 - Occupation: Broker/Team Lead - Education: MBA in Real Estate - Experience: 15 years industry - Income: $200K+ annually

Background

He started his career as a solo agent, then built a six-person team. He pioneered KPI tracking, turning raw feedback into actionable growth plans.

Needs & Pain Points

Needs

1. Receive real-time showing performance metrics easily. 2. Consolidate team feedback into clear actionable reports. 3. Automate repetitive scheduling tasks for efficiency.

Pain Points

1. Sifting through scattered feedback data manually. 2. Delayed insights hinder agile decision-making. 3. Overloaded with scheduling logistics daily.

Psychographics

- Obsessive data-driven decision-maker - Seeks competitive advantage through analytics - Values measurable performance improvements - Thrives on structured operational workflows

Channels

1. Slack notifications – instant 2. Dashboard email digests – daily 3. Salesforce integration – real-time 4. LinkedIn messages – professional outreach 5. Zoom webinars – training sessions

L

Luxury Lucy

- Age: 38 - Focus: High-end residential market - Experience: 12 years luxury sales - Annual Sales Volume: $10M+ - Location: Urban metropolitan area

Background

Raised with a passion for design, she transitioned from interior styling to luxury real estate, building a network of high-net-worth clients who expect VIP service.

Needs & Pain Points

Needs

1. Flawless scheduling for premium client showings. 2. Discreet, immediate feedback capture from buyers. 3. White-glove reporting for discerning sellers.

Pain Points

1. Last-minute client cancellations disrupt elite scheduling. 2. Generic feedback fails to convey luxury insights. 3. Manual coordination undermines exclusive service.

Psychographics

- Expects impeccable service and detail - Prioritizes client experience over speed - Seeks exclusivity in every interaction - Prefers tailored, high-touch communications

Channels

1. WhatsApp – instant VIP messaging 2. Email newsletters – curated updates 3. Instagram stories – luxury teasers 4. Private CRM – client management 5. SMS texts – quick confirmations

B

Balancing Ben

- Age: 29 - Occupation: Part-time agent - Secondary Job: School teacher - Family: Married, one child - Combined Income: $75K annually

Background

With a teaching career and newborn at home, he turned to real estate for extra income, quickly realizing automation is key to avoiding schedule chaos.

Needs & Pain Points

Needs

1. Streamlined showing scheduling during off-hours. 2. Automated reminders to prevent double-booking. 3. Quick feedback loops to refine listings.

Pain Points

1. Conflicting commitments cause missed appointments. 2. Manual follow-ups eat into family time. 3. Complex tools overwhelm limited spare hours.

Psychographics

- Values work-life balance above all - Seeks low-stress, efficient solutions - Motivated by supplemental income goals - Prefers quick, intuitive tools

Channels

1. Google Calendar – personal scheduling 2. Mobile app notifications – real-time alerts 3. Email – end-of-day summaries 4. Facebook groups – peer advice 5. SMS – urgent reminders

C

Collaborative Carla

- Age: 45 - Role: Team leader/mentor - Team Size: 8 agents - Experience: 18 years in real estate - Market: Suburban and urban mix

Background

After rising through solo success, she now leads a diverse team, focusing on shared learnings and data-driven coaching to elevate group performance.

Needs & Pain Points

Needs

1. Centralized team feedback dashboards. 2. Comparative showing performance analytics. 3. Automated scheduling for diverse agents.

Pain Points

1. Difficulty tracking individual agent progress. 2. Inconsistent feedback formats across team. 3. Coordination headaches with multiple calendars.

Psychographics

- Believes in transparent team collaboration - Motivated by collective success metrics - Values continuous skill development - Prefers supportive leadership style

Channels

1. Microsoft Teams – group collaboration 2. Team email threads – detailed updates 3. CRM dashboard – performance monitoring 4. Zoom – coaching sessions 5. Internal portal – resource sharing

I

Insightful Isaac

- Age: 34 - Specialty: Buyer behavior analysis - Education: Psychology degree - Experience: 10 years in real estate - Sales Volume: 20+ closings yearly

Background

With a background in behavioral psychology, he merged his expertise into real estate, developing targeted showings that resonate with buyers’ emotional needs.

Needs & Pain Points

Needs

1. Detailed sentiment analysis of buyer responses. 2. Quick identification of emotional deal-breakers. 3. Customizable survey questions for deeper insights.

Pain Points

1. Surface-level feedback lacks emotional depth. 2. Manual note-taking distracts from rapport. 3. Delayed feedback misses emotional momentum.

Psychographics

- Driven by understanding buyer motivations - Values nuanced, qualitative feedback - Empathetic listener focused on insights - Innovates using behavioral analysis

Channels

1. Mobile surveys – immediate sentiment capture 2. Email analytics – detailed breakdowns 3. CRM notes – integrated observations 4. LinkedIn insights – professional trends 5. Behavioral workshops – continuous learning

Product Features

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

Instant Reroute

Automatically adjusts your multi-stop route in real-time based on traffic conditions, accidents, and road closures, ensuring you always take the fastest path. Minimizes delays, reduces unpredictable drive times, and keeps your schedule running smoothly.

Requirements

Real-Time Traffic Monitoring
"As an agent, I want the app to monitor traffic conditions in real time so that I can stay informed about potential delays."
Description

Continuously collect and analyze live traffic data from multiple sources to identify current congestion levels, traffic incidents, and average speeds along planned routes. This capability ensures the system has up-to-the-second visibility into road conditions, enabling accurate decision-making for subsequent route adjustments. Integration with existing mapping and data APIs provides seamless updates within the ShowJoy mobile interface, minimizing manual intervention.

Acceptance Criteria
High Traffic Congestion Detection
Given a planned route is active When live traffic data indicates congestion levels ≥ 80% on any route segment Then the system flags the segment as congested and suggests an optimized reroute within 5 seconds
Traffic Incident Alerts
Given real-time incident feeds are integrated When an accident is detected within 1 mile ahead Then the system notifies the user and recalculates the route within 3 seconds
Average Speed Variance Reporting
Given historical speed data is available When average speed on a segment deviates by > 15% from the historical average for more than 2 minutes Then the system logs the deviation and displays an alert in the UI
API Data Source Failure Handling
Given multiple traffic data sources are configured When the primary API fails or times out Then the system switches to a secondary source within 2 seconds and logs the fallback event
Seamless Map Interface Updates
Given the mobile interface is active When route adjustments occur due to traffic changes Then the updated route is rendered on the map within 1 second without manual refresh
Dynamic Route Optimization
"As an agent, I want my route to adjust dynamically when traffic worsens so that I can maintain my showing schedule."
Description

Automatically recalculate the multi-stop itinerary whenever new traffic information indicates a faster alternative path. The system reprioritizes visits and reorders stops to minimize total drive time, balancing client appointments with efficient routing. This feature integrates directly with the scheduling module, ensuring that newly generated routes are reflected instantly in the agent’s itinerary.

Acceptance Criteria
Significant Traffic Delay Triggers Reroute
Given an agent has an active multi-stop itinerary and live traffic data indicates a delay of over 10 minutes on the current segment, when the dynamic optimization engine processes the data, then the system must recalculate and display a new route within 5 seconds that reduces total estimated drive time by at least 5%.
Accident-Induced Reroute and Schedule Sync
Given a reported accident blocks the next leg of the route, when new traffic data is received, then the system must automatically reroute around the accident, update the visit order as needed, and reflect the changes in the agent’s schedule without manual intervention.
Priority Appointment Preservation During Reroute
Given the agent’s itinerary includes appointments labeled with priority levels, when dynamic optimization identifies a faster path that would delay a high-priority appointment by more than 5 minutes, then the system must maintain the original order or propose an alternative that does not delay high-priority visits beyond the threshold.
Efficient Multi-Stop Balancing Under New Conditions
Given multiple simultaneous traffic updates across several route segments, when the optimization runs, then the system must rebalance and reorder all stops to ensure the new total drive time is minimized and no individual segment increase exceeds 3 minutes.
Instant Agent Notification of Route Change
Given a route recalculation has occurred, when the new optimized itinerary is generated, then the system must send a push notification to the agent’s mobile device within 2 seconds including a summary of changes and updated arrival times.
Accident Response Adjustment
"As an agent, I want the app to reroute me around accidents immediately so that I avoid unnecessary hold-ups."
Description

Detect traffic accidents or incidents affecting the planned route and immediately propose reroutes to bypass the area. The solution flags affected segments, estimates additional delay, and presents alternative options ranked by travel time. Agents receive instant push notifications with clear directions to avoid accident zones and minimize disruption.

Acceptance Criteria
Accident Detected on Planned Route
Given the navigation route includes a segment where traffic feed reports an accident within 5 miles; When the incident is detected by the system; Then the affected route segment is flagged as 'incident' within 10 seconds of data receipt and highlighted on the agent's map.
Push Notification for Reroute Sent
Given an accident is flagged on the planned route; When the system generates reroute suggestions; Then a push notification is delivered to the agent's mobile device within 5 seconds containing clear reroute instructions and affected street names.
Alternative Route Options Ranked by Travel Time
Given multiple reroute alternatives are computed; When presenting options to the agent; Then the system displays the top three routes ordered by estimated total travel time, showing ETA, distance, and delay saved for each.
Accurate Delay Estimation Provided
Given traffic delay data for the accident-affected segment indicates an additional delay of 15 minutes; When calculating reroute parameters; Then the system's estimated delay for the original route is within ±2 minutes of the actual reported delay.
Agent Accepts Suggested Reroute
Given the agent reviews reroute options; When the agent selects a preferred alternative; Then the system immediately updates navigation to the new route, confirms the change visually on the map, and provides a voice prompt announcing the reroute.
Road Closure Detection
"As an agent, I want the app to detect road closures so that I’m not directed onto blocked streets."
Description

Identify planned or unplanned road closures from municipal and crowd-sourced feeds, mapping closed segments onto the route. When closures impact the current path, the system removes blocked roads from consideration and generates a new route automatically. This ensures compliance with local restrictions and prevents agents from encountering impassable roads mid-journey.

Acceptance Criteria
Unplanned Road Closure on Active Route
Given an active route contains a segment with an unplanned closure, when the closure is detected, then the blocked segment shall be removed and a new optimal route generated within 2 seconds.
Planned Road Closure Exclusion
Given a route calculation 30+ minutes before departure, when a planned closure is present on any segment, then the closure shall be excluded and an alternate route provided without the closed segment.
Crowd-Sourced Closure Confirmation
Given multiple crowd-sourced closure reports for a segment, when at least three independent reports are received within 5 minutes, then the segment shall be flagged as closed and rerouted accordingly.
Multiple Simultaneous Closures
Given two or more closures impact the remaining path, when closures are detected, then the system shall generate a single consolidated reroute avoiding all blocked segments and optimizing travel time.
Real-Time Closure vs. Traffic
Given an unplanned closure and real-time traffic congestion update within 5 seconds, when both updates occur, then the system shall prioritize closure avoidance over minor congestion and select the fastest alternate path.
Predictive Delay Alert
"As an agent, I want advance warnings of likely traffic delays so that I can leave earlier or choose a better route."
Description

Leverage historical traffic patterns and machine learning models to forecast potential delays before they occur. The system alerts agents proactively when predicted congestion threatens on-time arrival, offering preemptive rerouting suggestions. By anticipating issues ahead of time, agents can adjust departure times or routes, enhancing reliability and client satisfaction.

Acceptance Criteria
Pre-Departure Notification
Given an upcoming showing scheduled in the agent’s calendar and a predicted traffic delay of 15 minutes or more, when the system runs its predictive model at least 60 minutes before departure, then an alert is sent to the agent suggesting a revised departure time and alternative route options.
In-Transit Delay Forecast
Given the agent is en route to a property and real-time data indicates a potential 10-minute delay within the next 15 miles, when predictive analysis identifies this risk, then the system displays an in-app notification with a recommended reroute within 2 minutes of detection.
Calendar-Linked Departure Adjustment
Given a showing appointment created in the agent’s integrated calendar, when the system forecasts traffic congestion that impacts on-time arrival, then the system updates the event with a suggested departure time adjustment and notifies the agent via email and push notification.
Road Closure Forecast
Given an upcoming road closure or major accident detected along the planned route within the next 2 hours, when the predictive model forecasts at least a 20-minute delay, then the system alerts the agent with a detailed reroute plan and estimated time savings.
Multi-Stop Cumulative Delay Prediction
Given a multi-stop itinerary for the day, when cumulative predicted delays exceed 30 minutes across all stops, then the system provides a consolidated alert listing each affected segment and the total adjusted travel time.

TimeSync Scheduler

Aligns showing time windows with buyer availability, listing open hours, and travel times between stops. Eliminates overlaps and scheduling conflicts, maximizing daily efficiency and delivering a seamless experience for both agents and clients.

Requirements

Availability Matching
"As a buyer, I want the scheduler to only propose appointment times that fit my availability so that I don’t receive inconvenient showing requests."
Description

The system must automatically match showing time windows with each buyer’s stated availability, ensuring that proposed appointment slots fall within the time ranges the buyer has selected. This feature integrates with buyer profiles to pull availability data in real time, reducing manual back-and-forth and accelerating the scheduling process. By automatically filtering out unavailable times, the requirement minimizes conflicts and enhances user satisfaction by ensuring every suggested slot is convenient for the buyer.

Acceptance Criteria
Matching Buyer Availability with Listing Hours
Given a buyer has indicated availability on Tuesday from 10:00 to 14:00 and the listing’s open hours are 09:00 to 17:00, when the system generates appointment slots, then every proposed slot must start and end within the 10:00–14:00 window on Tuesday.
Excluding Unavailable Slot Overlaps
Given a buyer’s availability ranges are 09:00–11:00 and 13:00–15:00 on Wednesday, when appointment suggestions are created, then the system must not propose any slots between 11:00 and 13:00.
Real-Time Availability Sync
Given a buyer updates their availability in their profile, when an agent requests new showing times within one minute of the update, then the system must use the buyer’s latest availability to generate slots.
Handling No Matching Slots
Given a buyer’s availability does not overlap with the listing’s showing hours, when the system attempts to create appointment options, then it must display “No Available Slots” and prompt the agent to adjust the buyer’s availability or select a different listing.
Time Zone Conversion for Out-of-State Buyers
Given a buyer’s availability is entered in Pacific Time and the listing is located in Eastern Time, when the system proposes appointment slots, then it must convert and display all suggested times correctly in both the agent’s Eastern Time and the buyer’s Pacific Time.
Operating Hours Compliance
"As an agent, I want the scheduler to block out times when the listing is not available so that I don’t accidentally schedule showings outside of allowed hours."
Description

The scheduler must respect and enforce each listing’s defined open hours and showing restrictions, preventing appointments from being scheduled outside of permitted time frames. This requirement pulls property availability data from the MLS or internal listing settings to validate proposed times. By ensuring compliance with seller and brokerage rules, it protects agents from scheduling conflicts and legal issues while maintaining a seamless user experience.

Acceptance Criteria
Attempt to Schedule Showing Within Allowed Hours
Given a listing with defined open hours from 10:00 to 18:00 When an agent selects a time slot at 11:00 Then the system schedules the appointment and displays a confirmation
Prevent Scheduling Outside Listing Hours
Given a listing with open hours from 09:00 to 17:00 When an agent attempts to schedule a showing at 08:30 Then the system blocks the request and displays an error message indicating invalid time frame
Handle MLS Data Unavailability
Given MLS property availability data is unavailable When an agent selects a time slot Then the system retrieves internal listing settings and either allows or blocks the scheduling based on those settings, displaying a fallback notification
Respect Listing-Specific Restrictions
Given a listing restricts showings on weekends When an agent attempts to book a Saturday or Sunday slot Then the system prevents scheduling and displays the restriction notice
Edge Case: Appointment Ends Exactly At Closing Time
Given a listing closes at 18:00 When an agent schedules a one-hour showing starting at 17:00 Then the system allows the appointment because it ends exactly at the closing time
Travel Time Calculation
"As an agent, I want the scheduler to automatically add travel buffers between showings so that I can reliably arrive on time without manual planning."
Description

The feature must calculate realistic travel durations between consecutive showing locations by integrating with mapping APIs. It should factor in distance, typical traffic conditions, and mode of transport to recommend accurate buffers between appointments. By automatically inserting these buffers, the system prevents unrealistic schedules and ensures agents and buyers can comfortably transit between properties without rushing or delays.

Acceptance Criteria
Single-leg Travel Time Estimation
Given an agent selects two consecutive showing locations, When the system retrieves distance and traffic data, Then it calculates a travel duration within ±5 minutes of real-world conditions.
Multiple-stop Route Calculation
Given an agent schedules three or more back-to-back showings, When the system sequences the stops by proximity and traffic impact, Then it provides total travel time and individual leg estimates that prevent overlaps.
Mode of Transport Adjustment
Given an agent specifies a mode of transport (driving, walking, public transit), When calculating travel durations, Then the system applies mode-specific speed and route profiles to generate accurate buffers.
Peak Traffic Condition Adjustment
Given a showing scheduled during known peak traffic hours, When requesting travel estimates, Then the system incorporates historical congestion data to increase buffers by at least 20% over off-peak estimates.
Unreachable Distance Handling
Given two locations are more than 150 miles apart, When calculating travel time, Then the system flags the schedule as invalid and prompts the agent to add an overnight stay or adjust times.
Conflict Detection & Resolution
"As an agent, I want the system to alert me to any conflicting appointments and suggest new times so that I can maintain a reliable daily schedule."
Description

The scheduler must detect overlapping or conflicting appointments in an agent’s daily itinerary and provide resolution options, such as suggesting alternative slots or automatically adjusting adjacent showings. This requirement continuously monitors the agent’s calendar, buyer availabilities, and listing constraints to identify issues and propose fixes. By proactively managing conflicts, it preserves schedule integrity and prevents last-minute cancellations or double bookings.

Acceptance Criteria
New Showing Conflict Detection
Given an agent schedules a new showing that overlaps with another appointment, when the system evaluates the schedule, then it must detect the overlap and alert the agent immediately.
Rescheduled Appointment Overlap
Given an agent reschedules a showing into a time window that conflicts with another confirmed showing, when the reschedule is submitted, then the system must prevent the change and suggest the next available non-conflicting slot.
Alternative Slot Suggestion
Given a detected conflict, when the system generates resolution options, then it must propose at least three alternative time slots that satisfy buyer availability, listing open hours, and travel time constraints.
Automatic Adjacent Adjustment
Given a new showing is added that conflicts with adjacent appointments, when auto-adjust is enabled, then the system should shift adjacent showings to the nearest possible non-conflicting slots without manual intervention.
Real-time Conflict Monitoring
Given multiple showings for the day, when buyer availability or listing constraints change, then the system must update conflict status in real time and notify the agent within one minute of any new conflicts.
Dynamic Rescheduling
"As an agent, I want the scheduler to automatically update my showing schedule when availability changes so that I don’t have to manually rebook every appointment."
Description

When a buyer or seller updates their availability or when unexpected events occur (e.g., delays, cancellations), the scheduler must automatically recalculate and adjust the daily showing itinerary. The system will notify all affected parties of changes and provide updated confirmations. This capability keeps schedules current, reduces manual admin work, and ensures all stakeholders are aligned on the latest plans.

Acceptance Criteria
Buyer Updates Availability Before Showing
Given an existing daily itinerary, when a buyer updates their availability at least 2 hours before a showing, then the system automatically recalculates the itinerary without overlaps, adjusts subsequent showing times within listing hours, and sends updated confirmations to the agent and seller within 5 minutes.
Unexpected Delay Occurs During Travel
Given a scheduled showing and real-time travel monitoring enabled, when actual travel time to the next stop exceeds the estimated time by more than 15 minutes, then the scheduler recalculates affected time windows, updates the itinerary accordingly, and notifies the agent and buyer within 2 minutes.
Seller Cancels a Showing Slot
Given a confirmed showing slot, when the seller marks that time slot as unavailable, then the system removes the slot from the itinerary, attempts to reschedule the affected buyer within their available windows, and sends notifications to agent, buyer, and seller with new times or cancellation if no slot is available within 10 minutes.
Conflict Resolution for Overlapping Showings
Given multiple back-to-back showings and updated availability for any party, when the system detects an overlap, then it automatically adjusts the less critical appointment within the remaining listing open hours, ensures a minimum 10-minute buffer between showings, and sends revised confirmations to all participants within 3 minutes.
End-of-Day Itinerary Confirmation
Given the final itinerary for the day, when the day’s last change is processed, then the system generates an end-of-day summary report, confirms all updated appointments, and emails the report to the agent and clients by 9:00 PM local time with no pending notifications.

EcoRoute Mode

Optimizes routes for fuel efficiency and lower emissions by selecting roads with smoother traffic flow and fewer idle stops. Helps agents save on fuel costs, reduce their carbon footprint, and promote eco-friendly real estate practices.

Requirements

Real-time Traffic Data Integration
"As a real estate agent scheduling property showings, I want real-time traffic data integrated into my route suggestions so that I can avoid congested roads and reduce idle time to lower fuel consumption."
Description

Integrate live traffic feeds from multiple providers to analyze current traffic speeds, congestion levels, and incidents. This requirement ensures the eco-route engine receives up-to-date traffic metrics for accurate route optimization, reducing idle times and improving fuel efficiency. The integration will leverage external APIs, normalize incoming data, and update route calculations in real time within the ShowJoy platform.

Acceptance Criteria
Live Traffic Feed Ingestion
Given valid API credentials for multiple traffic providers When the system requests live traffic data at configured intervals Then it successfully retrieves and stores updated traffic speeds, congestion levels, and incident reports within 5 seconds of the request
Traffic Data Normalization
Given incoming traffic data in heterogeneous formats When the normalization process executes Then all records are transformed into the unified schema with mandatory fields (timestamp, location, speed, congestionLevel, incidentDescription) populated and no null values remain for required attributes
Real-time Route Recalculation
Given an existing route plan and new traffic data indicating a congestion increase of over 30% on any segment When the system ingests the updated data Then the eco-route engine recalculates the optimal route within 10 seconds and updates the UI to reflect the new route
Incident Alert Integration
Given a traffic incident reported on a planned segment When the incident data is received and processed Then the system flags the affected segment and triggers an immediate route optimization to avoid the incident area
Traffic API Failover Handling
Given the primary traffic data provider returns an error or times out When the system detects the failure Then it switches to a configured secondary provider within 2 seconds and logs the failover event without interrupting data ingestion
Eco-Friendly Route Calculation
"As an agent, I want the system to calculate the most fuel-efficient route between multiple showing stops so that I can save on fuel costs and reduce my carbon footprint."
Description

Develop an algorithm that calculates the most fuel-efficient and low-emission routes by analyzing traffic flow, road grade, stop frequency, and travel distance. This calculation integrates with the existing mapping engine, applies eco-routing heuristics, and returns optimized turn-by-turn directions. The feature will minimize environmental impact while maintaining reasonable travel times.

Acceptance Criteria
Single Listing Eco-Route Optimization
Given an agent selects a single property address and activates EcoRoute Mode, when the algorithm generates the route, then the selected route must be at least 10% more fuel-efficient than the fastest-time route, measured by estimated fuel consumption in liters or miles per gallon.
Multi-Stop Daily Schedule Efficiency
Given an agent inputs multiple showing stops in sequence and activates EcoRoute Mode, when the route plan is generated, then the total carbon emissions computed must be at least 15% lower than the default shortest-path routing, while the total travel time does not exceed the shortest-path time by more than 10%.
Real-Time Traffic Recalculation
Given an active EcoRoute trip and detection of significant traffic congestion or closure, when the agent requests a route update, then the algorithm recalculates and provides a new route within 5 seconds that reduces idle time by at least 20% compared to the original route.
Road Grade Impact Assessment
Given a scenario where the route includes steep inclines or declines, when generating an EcoRoute, then the algorithm must favor paths with average gradients below 5%, unless no alternative exists, and report the expected fuel savings due to gradient optimization.
Fuel Efficiency vs Time Trade-off
Given an agent requires a balance between speed and eco-efficiency, when selecting EcoRoute Mode, then the system provides two route options labeled 'Eco (Max Efficiency)' and 'Balance (Efficiency & Time)', with the Eco route achieving maximum fuel savings and the Balance route keeping travel time within 5% of the fastest route while ensuring at least 8% fuel savings.
Carbon Emissions Estimator
"As an eco-conscious agent, I want to see estimated carbon emissions for each suggested route so that I can make environmentally responsible decisions."
Description

Implement a module to estimate carbon dioxide emissions for each route option based on distance traveled, vehicle type, and standard emissions factors. This estimator provides comparative insight into environmental impact and displays the results alongside route options. Integration with agent vehicle profiles ensures accurate emissions calculations.

Acceptance Criteria
Estimate Emissions for Agent's Selected Vehicle
Given an agent selects a route and a vehicle profile, when the route details are loaded, then the system calculates the carbon emissions by multiplying the route distance by the selected vehicle’s emission factor and displays the result next to the route option within 1% of the expected value.
Compare Emissions Across Multiple Route Options
Given multiple route options are available for a single destination, when the routes are displayed, then the system shows the carbon emissions estimate for each option and highlights the route with the lowest emissions.
Accurate Calculation Based on Vehicle Type
Given a new vehicle profile with a specified emission factor is added, when the agent selects this profile for a route, then the system uses the correct emission factor associated with that vehicle type and the calculated emissions match the stored profile data.
Integration with Vehicle Profiles
Given an agent’s vehicle profile exists in their account, when the agent views route options, then the system automatically applies the profile’s emission factor without additional input.
Display Warning for Missing Vehicle Profile
Given an agent with no vehicle profile set, when they attempt to view emissions estimates, then the system displays a prompt requesting profile setup and does not perform emission calculations until a profile is provided.
Fuel Consumption Optimizer
"As an agent managing travel budgets, I want to see estimated fuel consumption for each route so that I can plan and budget my fuel expenses more accurately."
Description

Calculate and display projected fuel consumption for each route using factors such as average speed, idling time, and acceleration patterns. This optimizer will use vehicle-specific parameters to provide precise fuel cost estimates and rank routes by cost-effectiveness. The output will integrate into both desktop and mobile interfaces.

Acceptance Criteria
Route Selection Fuel Estimate Display
Given a user selects one of multiple available routes; when viewing the route details; then the system displays the projected fuel consumption for each route in liters and cost in local currency, calculated using average speed, idling time, and acceleration patterns.
Vehicle-Specific Parameter Integration
Given the user’s vehicle parameters (fuel economy, engine type, weight) are configured; when generating fuel consumption estimates; then the optimizer applies these parameters to adjust estimates and provides vehicle-specific fuel and cost projections.
Cost-Effectiveness Ranking
Given multiple routes have been evaluated; when presenting route options; then the system ranks and lists routes in ascending order of projected fuel cost, highlighting the most cost-efficient route at the top.
Cross-Platform Interface Consistency
Given the feature is accessed on desktop and mobile; when displaying projected fuel consumption and costs; then both interfaces show identical values with appropriate formatting and units for each platform.
Real-Time Data Update After Route Recalculation
Given traffic conditions change mid-route and a recalculation is triggered; when the new route is available; then the system updates the projected fuel consumption and cost estimates within 2 seconds, reflecting current conditions.
Route Comparison Dashboard
"As an agent evaluating different routes, I want to compare distance, time, and eco-metrics side by side so that I can select the best route for my priorities."
Description

Design a user interface component that presents multiple route options side-by-side, comparing key metrics including distance, travel time, fuel consumption, and carbon emissions. Agents can visually assess trade-offs and select the route that best fits their time constraints and eco-goals. Dashboard will be accessible in both web and mobile apps.

Acceptance Criteria
Web Dashboard Route Comparison Display
Given the agent navigates to the Route Comparison Dashboard on the web app, When two or more route options are available, Then the UI displays them side-by-side showing distance (km), estimated travel time (min), fuel consumption (L), and carbon emissions (kg CO₂) in a tabular layout.
Mobile App Route Comparison Display
Given the agent opens the Route Comparison Dashboard on the mobile app, When multiple routes are fetched, Then each route option is presented in a scrollable card layout with distance, travel time, fuel consumption, and emissions clearly labeled.
Route Selection and Confirmation
Given the agent reviews the compared routes, When the agent taps or clicks the "Select Route" button on a chosen route, Then the system highlights the selected route, confirms the selection with a toast notification, and persists the choice for navigation.
Accurate Metric Unit Presentation
Given route data is loaded, When the dashboard displays metrics, Then distance is shown in kilometers to one decimal place, travel time in whole minutes, fuel consumption in liters to two decimal places, and emissions in kilograms of CO₂ to one decimal place.
Real-Time Traffic Data Update
Given live traffic data is updated, When the system receives new traffic flow information, Then the dashboard recalculates and refreshes route metrics within 5 seconds without requiring a page refresh.
Eco-Preferences Customization
"As an agent with specific eco-goals, I want to customize my eco-routing preferences so that the suggested routes align with my priorities between speed and sustainability."
Description

Create a settings panel allowing agents to configure their eco-routing preferences, such as weighting between travel time vs emissions, preferred vehicle profile, and optimization aggressiveness. These preferences will personalize route suggestions and persist across sessions. The UI will guide users through preference options and store selections in their account profile.

Acceptance Criteria
Eco-Preferences Panel Access
Given an authenticated agent is on the ShowJoy dashboard When the agent clicks the Profile Settings menu Then the Eco-Preferences panel is displayed with all configurable options
Travel Time vs Emissions Weighting Adjustment
Given the agent is viewing the Eco-Preferences panel When the agent moves the Travel Time vs Emissions slider and clicks Save Then the new weighting value is stored in the user profile and reflected in the UI summary
Preferred Vehicle Profile Selection
Given the agent is in the Eco-Preferences panel When the agent selects a vehicle profile from the dropdown and clicks Save Then the selected vehicle profile is saved and used for route calculations
Optimization Aggressiveness Configuration
Given the agent is viewing the Eco-Preferences settings When the agent chooses an aggressiveness level and confirms the change Then the system updates the optimization aggressiveness parameter and displays a confirmation message
Preference Persistence After Logout
Given the agent has configured eco-preferences and logs out of the application When the agent logs back in Then the previously saved preferences are loaded and displayed exactly as last configured

GeoCluster Planner

Automatically groups nearby listings into geographic clusters, creating compact routes that minimize backtracking. Simplifies complex itineraries, reduces overall drive distance, and allows agents to cover more showings in less time.

Requirements

GeoCluster Optimization Engine
"As an agent, I want the system to automatically group nearby listings into logical clusters so that I can minimize travel time and maximize daily showings."
Description

Develop a backend component that processes property coordinates and applies clustering logic to automatically group nearby listings into geographic clusters. This engine will minimize backtracking by analyzing spatial proximity and generating efficient cluster sets based on predefined parameters. It integrates seamlessly with the existing scheduling workflow and map services, reducing overall drive distance and improving daily route efficiency. The outcome is an optimized cluster plan that agents can immediately review and schedule without manual adjustments.

Acceptance Criteria
Batch Clustering Initiation
Given a set of property coordinates for the next day’s showings, when the agent triggers the GeoCluster Optimization Engine, then the engine returns clusters grouping listings within the predefined distance threshold.
Map View Cluster Display
Given the agent is viewing the daily itinerary map, when clusters are generated, then each cluster is visually outlined on the map with unique identifiers and hoverable details.
Custom Distance Threshold Adjustment
Given an agent modifies the maximum clustering radius to 5 miles, when the engine reprocesses the listings, then all clusters respect the new 5-mile maximum distance between any two listings.
High-Volume Coordinate Processing
Given 500 listing coordinates are submitted simultaneously, when the engine processes the data, then the clusters are returned within 10 seconds without errors.
Scheduling Workflow Integration
Given optimized clusters are available, when the agent clicks “Schedule Cluster,” then the system populates the scheduling interface with grouped showings in chronological order.
Customizable Clustering Radius
"As an agent, I want to adjust the clustering radius to match my preferred travel constraints so that clusters align with my schedule and reduce drive fatigue."
Description

Enable agents to configure the maximum distance threshold used by the GeoCluster algorithm through an intuitive UI control. This requirement ensures that clustering behavior aligns with individual travel preferences and market conditions. Adjustments to the radius will dynamically update clusters in real time, allowing agents to refine grouping sensitivity and balance between cluster size and travel constraints.

Acceptance Criteria
Adjusting the Clustering Radius via UI
Given the agent is on the GeoCluster Planner map view, when the agent moves the clustering radius slider to a new value, then the map updates clusters in real time to reflect groupings within the selected radius and the UI control displays the updated value.
Loading Default Clustering Radius
Given the agent opens the GeoCluster Planner and has not set a custom radius, when the map initializes, then the system uses the default clustering radius (e.g., 3 miles) and displays this default value in the radius control.
Handling Invalid Radius Inputs
Given the agent enters a radius value outside the allowed range, when the input loses focus or the agent submits, then the system displays an error message specifying the valid range and retains the previous valid radius setting.
Persisting Custom Radius Settings
Given the agent sets a custom clustering radius, when the agent logs out and logs back in, then the previously set custom radius is loaded, applied to clusters, and shown in the radius control.
Real-Time Cluster Update Performance
Given the agent rapidly adjusts the clustering radius slider multiple times, when the agent finishes adjustments, then clusters update within 500ms of the last change and the UI remains responsive without lag.
Interactive Route Visualization
"As an agent, I want to see my clustered showings plotted on an interactive map so that I can visualize and refine my route before heading out."
Description

Implement an interactive map interface that displays clustered showings and the computed route. Agents can zoom, pan, and click on clusters to view listing details, reorder stops via drag-and-drop, and instantly see updated drive distances and times. This visualization integrates with mapping APIs to provide a clear, real-time view of the planned itinerary, enabling agents to validate and fine-tune their routes before departure.

Acceptance Criteria
Viewing Clustered Listings on Interactive Map
Given the agent opens the route visualization, clusters appear on the map with labels indicating the number of listings per cluster; When the agent zooms in beyond the defined zoom level, clusters break into individual listing markers displayed at their exact locations.
Reordering Scheduled Stops via Drag-and-Drop
Given the map displays the current route and stops list, when the agent drags a stop item and drops it to a new position in the stops list, then the map updates the route sequence to reflect the new stop order and the stops list matches the map.
Instant Update of Drive Distance and Time
Given the agent changes the stop order or modifies the route, when the route recalculation is triggered, then the total drive distance and estimated drive time update and display within 2 seconds of the change.
Displaying Cluster-specific Listing Details
Given clusters are displayed on the map, when the agent clicks on a cluster marker, then a popup displays a list of all properties in the cluster including address, listing price, and scheduled showing time, and the agent can scroll through the details.
Navigating the Map (Zoom & Pan)
Given the map is in focus, when the agent zooms or pans the map using gestures or controls, then the map view moves smoothly, clusters and markers maintain accurate positions, and no visual glitches occur.
Real-Time Traffic Integration
"As an agent, I want my routes to account for real-time traffic conditions so that I avoid delays and arrive on time."
Description

Incorporate live traffic data into route calculations to adjust cluster order and travel times based on current road conditions. The system will fetch external traffic feeds, recalculate ETA for each segment, and propose detours when significant delays are detected. This ensures that agents receive up-to-date driving instructions, avoid congestion, and maintain reliable showing schedules.

Acceptance Criteria
Peak Hour Delay Detection
Given the agent plans a route during peak traffic hours When the system fetches live traffic data Then each segment's ETA is updated to reflect current congestion within 1 minute of data retrieval
Real-Time Route Recalculation on Delay
Given a significant traffic delay exceeding 5 minutes is detected When an alternative detour offers a shorter ETA Then the system automatically recalculates the route order and notifies the agent of the new path
Automatic Detour Suggestion
Given live traffic data indicates a road closure When the system identifies a viable detour Then it presents the detour option with updated ETA and prompts the agent to confirm acceptance
ETA Consistency Verification
Given continuous traffic feed updates Every 2 minutes When ETAs change by more than 2 minutes Then the system logs the change and displays the updated times in the itinerary view
Survey Time Adjustment Based on Traffic
Given an upcoming showing is at risk of delay due to traffic When the recalculated ETA exceeds the scheduled arrival window Then the system adjusts the survey dispatch time and sends a delay notification to the seller
Multi-Day Scheduling Support
"As an agent, I want to schedule clusters over multiple days in one plan so that I can efficiently manage extended showing schedules without manual redistribution."
Description

Support planning of clustered showings across multiple days within a single route plan. Agents can assign clusters to specific dates, adjust cluster distributions over a selected date range, and view multi-day itineraries on the calendar interface. This capability extends route optimization beyond a single day, helping agents manage extended schedules without manual redistribution of listings.

Acceptance Criteria
Cluster Assignment to Specific Dates
Given an agent has created geographic clusters and selected a date for multi-day planning When the agent assigns one or more clusters to that date Then the system persists each cluster’s date assignment and reflects the assignment in the route plan list for that date
Cluster Distribution Adjustment Over Date Range
Given an agent has assigned clusters across a continuous date range When the agent adjusts the start or end date of the range Then the system redistributes unassigned clusters evenly across the new date range and updates each cluster’s assigned date accordingly
Multi-Day Itinerary Calendar Visualization
Given an agent navigates to the calendar interface When the agent enables the multi-day route overlay Then the calendar displays each assigned cluster on its corresponding date with clear visual markers and tooltips showing cluster details
Conflict Detection for Overlapping Cluster Dates
Given an agent attempts to assign a cluster date that overlaps with another existing assignment for the same cluster When the agent saves the new date Then the system prevents the save, highlights the conflicting clusters, and displays an explanatory error message
Saving and Persisting Multi-Day Route Plans
Given an agent finalizes the multi-day cluster assignments and itinerary When the agent clicks 'Save Route Plan' Then the system validates all date assignments, persists the plan to the database, and displays a confirmation message indicating successful save

BufferBuilder

Inserts smart buffer times between showings for vehicle prep, breaks, and unforeseen delays. Customizable buffer lengths ensure agents have breathing room, improving punctuality, reducing stress, and maintaining professional reliability.

Requirements

Custom Buffer Time Configuration
"As an agent, I want to configure my own buffer durations for each showing so that I can account for my personal preparation and travel needs."
Description

Allows agents to set default buffer durations for showings, with options for pre-show vehicle preparation, post-show cleanup, breaks, and adjustable time increments. Integrates seamlessly with the scheduling algorithm, ensuring personalized buffer slots align with agent preferences and workflow, improving punctuality and reducing overbookings.

Acceptance Criteria
Set Default Buffer Durations
Given an agent opens the buffer configuration settings When the agent sets a default pre-show buffer of 15 minutes and a post-show buffer of 10 minutes Then the system saves these values and displays them as the defaults for all new showings
Adjust Buffer Time Increments
Given an agent selects buffer time options When the agent chooses to adjust increments in 5-minute steps Then the system allows selection only in multiples of 5 minutes and updates the buffer time accordingly
Integrate Custom Buffers into Scheduling
Given existing showings in the agent’s calendar When the system schedules a new showing Then it automatically inserts the agent’s default pre- and post-show buffers around the showing time
Handle Buffer Overlaps
Given two adjacent showings with custom buffers When the combined buffers cause a scheduling conflict Then the system displays a warning and offers to adjust buffer lengths or suggest alternative times
Save and Reflect Changes in Calendar
Given an agent updates buffer preferences When the agent saves the new settings Then the system applies the changes to all future showings and refreshes the calendar view to reflect updated buffer slots
Dynamic Buffer Adjustment
"As an agent, I want buffer times to auto-adjust based on travel distance and traffic so that I arrive punctually without manual calculation."
Description

Automatically calculates and adjusts buffer times between showings based on real-time factors such as distance, traffic conditions, and appointment complexity. Interfaces with mapping and traffic APIs to provide context-aware breathing room, enhancing reliability and reducing delays.

Acceptance Criteria
Short-Distance Successive Showings
Given two showings scheduled within a 5-mile radius and standard appointment complexity, When the system calculates the schedule, Then the buffer time equals the estimated travel time plus the default buffer of 10 minutes.
Long-Distance Cross-City Showings
Given two showings more than 20 miles apart, When the system generates buffer times, Then the buffer equals the travel time estimate plus 30% additional time for unforeseen delays.
Peak Traffic Period Buffering
Given a showing scheduled during peak traffic hours (7–9 AM or 4–6 PM), When calculating buffers, Then the system retrieves real-time traffic delays and adds the reported delay plus a 5-minute margin.
High-Complexity Appointment Buffering
Given a showing requiring additional prep (e.g., staging or vendor access), When computing buffer time, Then the system applies the complexity factor, adding 15 minutes on top of the travel-based buffer.
API Unavailability Fallback
Given the traffic or mapping API is unreachable, When generating schedule buffers, Then the system applies a fallback buffer of distance-based travel estimate plus 15 minutes and logs a warning to the agent.
Buffer Conflict Alerts
"As an agent, I want to receive alerts when my buffers conflict with upcoming appointments so that I can resolve scheduling issues before they arise."
Description

Generates proactive alerts when scheduled showings conflict with buffer requirements, highlighting overlapping or insufficient buffer windows. Provides actionable recommendations to resolve conflicts by suggesting alternative times or adjusting adjacent appointments.

Acceptance Criteria
Scheduling a Showing with Insufficient Buffer
Given an agent schedules two showings with less than the required buffer time, When the agent attempts to save the schedule, Then the system displays a conflict alert specifying the required buffer duration and the current overlap.
Detecting Overlapping Buffer Windows
Given two showings have overlapping buffer windows, When the agent views the calendar, Then the system highlights both showings and details the overlap duration in the alert.
Suggesting Alternative Time Slots
Given a buffer conflict is detected, When the agent clicks on the conflict alert, Then the system suggests the nearest available time slots that satisfy the buffer requirements.
Adjusting Adjacent Appointments
Given the agent edits an appointment adjacent to a conflict, When the edit is confirmed, Then the system reassesses buffer times and removes any resolved conflict alerts.
Validating User Acknowledgment of Alerts
Given a conflict alert is displayed, When the agent acknowledges or dismisses the alert, Then the system logs the acknowledgment and ensures the same alert does not reappear for the same conflict.
Default Buffer Templates
"As a new agent, I want ready-made buffer templates for different travel scenarios so that I can quickly set up my schedule with minimal configuration."
Description

Offers pre-defined buffer templates tailored to common scenarios (e.g., urban travel, rural routes, multi-property tours) that agents can select and apply in bulk. Simplifies initial setup and ensures consistency across multiple listings without manual configuration for each showing.

Acceptance Criteria
Selecting a Pre-Defined Urban Template
Given the agent is on the Default Buffer Templates page When they select the 'Urban Travel' template Then a 15-minute buffer is applied to all future urban showings without additional input
Bulk Applying Rural Route Template
Given the agent has multiple rural listings selected When they apply the 'Rural Route' template Then each selected listing receives a 30-minute buffer between showings in one action
Customizing Default Template Duration
Given the agent selects any pre-defined template When they edit the buffer duration and save Then the updated duration replaces the default value for all new showings using that template
Template Preview Accuracy
Given the agent hovers over a template name in the list When the preview is displayed Then it accurately shows the buffer length and intended use-case description for that template
Template Selection Persistence
Given the agent applies a template to their workspace When they log out and log back in Then the previously selected default template remains active for new showings
Buffer Override for Priority Showings
"As an agent, I want to override buffer times for urgent showings so that I can accommodate last-minute requests while understanding the potential scheduling risks."
Description

Enables agents to override or waive buffer times selectively for high-priority or back-to-back showings. Provides clear warnings about potential risks and ensures that overrides are intentional, maintaining overall schedule integrity.

Acceptance Criteria
High-Priority Showing Buffer Override
Given an upcoming showing marked as high-priority and the default buffer time is set, When the agent selects 'Override Buffer' for this showing, Then the system removes the buffer time, displays a risk warning, and records the override action in the schedule.
Consecutive Override Limit Warning
Given three consecutive showings have been overridden without buffer, When the agent attempts to override the buffer for a fourth consecutive showing, Then the system prevents the override and displays a message indicating the maximum consecutive overrides has been reached.
Minimum Prep Time Enforcement Warning
Given the remaining time between two scheduled showings is less than the minimum prep threshold, When the agent attempts to override the buffer under these conditions, Then the system displays a warning about insufficient prep time and requires explicit confirmation to proceed.
Override Confirmation Dialog Interaction
Given the agent initiates a buffer override, When the confirmation dialog appears, Then the 'Confirm Override' button remains disabled until the agent checks the 'I acknowledge risks' checkbox, and selecting 'Confirm Override' proceeds with the override.
Override Audit Logging
Given a buffer override is executed, When the override completes, Then the system logs the agent ID, timestamp, property ID, original buffer duration, and override reason in the audit log.

Threshold Maestro

Empowers agents and sellers to define custom sentiment score thresholds and keyword triggers for SnapAlerts. By fine-tuning when alerts fire, this feature ensures sellers receive only the most relevant, high-impact feedback, reducing noise and maximizing engagement.

Requirements

Threshold Configuration Interface
"As an agent, I want to define custom sentiment score thresholds for SnapAlerts so that I only receive feedback alerts when comments meet a specified level of positivity or negativity."
Description

A user-friendly interface that allows agents and sellers to set custom sentiment score thresholds for SnapAlerts. This interface includes sliders or input fields to define numerical sentiment limits, real-time validation feedback, and contextual guidance on optimal threshold values. It integrates directly into the ShowJoy settings panel, ensuring seamless workflow without navigating away from the dashboard.

Acceptance Criteria
Accessing Threshold Configuration Interface
Given the agent is on the ShowJoy dashboard settings panel, when they navigate to the Threshold Configuration section, then the custom threshold interface (including sliders, input fields, and guidance) is displayed without errors.
Setting Sentiment Threshold via Slider
Given the threshold interface is displayed, when the agent adjusts the sentiment slider, then the numeric value updates in real time and remains within the allowed range (0–100).
Entering Custom Numeric Threshold
Given the input field is present, when the agent types a numeric threshold value and presses Enter, then the value is validated, applied, and displayed on the slider in real time.
Real-Time Validation Feedback
Given the agent enters a value outside the valid range, when the input is invalid, then an inline error message appears, and the Save button is disabled until the value is corrected.
Displaying Contextual Guidance
Given the agent hovers over the guidance icon next to the threshold controls, when hovered, then a tooltip displays recommended threshold ranges and examples for optimal engagement.
Persisting Threshold Changes
Given the agent has adjusted the threshold value and clicks Save, when the settings panel reloads or the agent logs out and back in, then the custom threshold value persists and is applied to subsequent SnapAlerts.
Keyword Trigger Management
"As a seller, I want to configure keyword triggers for SnapAlerts so that I’m immediately notified of critical mentions like ‘pricing’ or ‘location’."
Description

A management system enabling users to specify keywords or phrases that trigger SnapAlerts when mentioned in buyer feedback. Features include an add/remove keyword list, auto-suggestions based on past feedback trends, and the ability to assign different alert priorities to each keyword. This system integrates with the feedback processing engine to scan responses in real time.

Acceptance Criteria
Adding a New Keyword Trigger
Given the user is on the Keyword Trigger Management interface, When the user clicks 'Add Keyword', enters a valid keyword or phrase, and selects 'Save', Then the new keyword appears in the keyword list with a default priority and can be toggled on/off.
Removing an Existing Keyword Trigger
Given a keyword exists in the user's keyword list, When the user clicks the 'Delete' icon next to the keyword and confirms the deletion prompt, Then the keyword is removed from the list and no longer triggers SnapAlerts.
Auto-Suggestions for Keywords
Given there is historical feedback data available for the listing, When the user opens the 'Add Keyword' dialog, Then the system displays up to five suggested keywords ranked by frequency of occurrence in past feedback.
Assigning Alert Priorities to Keywords
Given the user has added one or more keywords, When the user edits a keyword's settings and selects a priority level (e.g., High, Medium, Low) and saves changes, Then the selected priority is persisted and used to determine SnapAlert urgency.
Real-Time Feedback Scanning for Keyword Triggers
Given a buyer submits feedback containing one of the user-defined keywords, When the feedback is ingested by the processing engine, Then a SnapAlert is generated within 5 seconds with the correct keyword and priority tag applied.
Real-time Alert Filtering
"As an agent, I want feedback alerts to be filtered in real time based on my custom rules so that I can respond to high-impact feedback immediately."
Description

Functionality that filters incoming feedback in real time based on the defined sentiment thresholds and keyword triggers. Alerts matching both criteria are prioritized and pushed to the SnapAlerts feed instantly. The filtering engine is optimized for low latency and high scalability, ensuring agents receive timely, relevant notifications without performance degradation.

Acceptance Criteria
Priority Alert for Feedback Meeting Threshold and Keyword Criteria
Given real-time feedback with sentiment score ≥ custom threshold and containing a defined keyword trigger When feedback is received by the filter engine Then feedback is prioritized in the SnapAlerts feed and pushed within 2 seconds
Discarding Feedback Failing to Meet Both Criteria
Given feedback with sentiment score < threshold and no matching keyword triggers When feedback is processed by the filter engine Then no alert is generated and feedback is not sent to the SnapAlerts feed
Ignoring Feedback with Only Keyword Match below Threshold
Given feedback that contains a keyword trigger but has sentiment score < threshold When feedback is evaluated Then feedback is not sent to the SnapAlerts feed
Filtering Under Peak Load
Given 10,000 concurrent feedback events per minute When all events pass through threshold and keyword filters Then system processes all events without errors and maintains average per-event latency ≤ 200ms
Latency Compliance for Alert Delivery
Given any feedback matching both threshold and keyword criteria When processed by the filter engine Then alert is delivered to the SnapAlerts feed within 1 second in 95% of cases
Scalability Handling for Burst Feedback
Given a burst of 50,000 feedback events in a 5-minute window When filters are applied Then system auto-scales to maintain processing throughput and ensures latency remains within SLA
Threshold Preset Templates
"As a broker, I want access to preset threshold templates so that I can quickly apply proven configurations without creating rules from scratch."
Description

A library of pre-built sentiment threshold and keyword trigger templates tailored to common scenarios, such as luxury listings, first-time buyers, or investment properties. Users can select, preview, and customize these presets, streamlining setup. Templates are stored as reusable configurations within user profiles for quick application across multiple listings.

Acceptance Criteria
Select Luxury Listing Template
Given the agent navigates to the Threshold Preset Templates library When they filter by scenario "Luxury Listing" Then at least one template is displayed matching the filter When the agent selects the "Luxury Listing" template Then the preset's default sentiment score thresholds and keyword triggers are loaded into the preview panel When the agent confirms selection Then the template is applied to the current listing and saved under their user profile And the system displays a success notification "Preset applied successfully"
Apply Preset Across Multiple Listings
Given an agent has one or more presets in their user profile When they select multiple listings and click "Apply Preset" Then the same threshold values and keyword triggers are assigned to each selected listing And each listing overview shows "Preset Active" And the system logs the preset assignment event for audit
Customize Keywords in First-Time Buyer Preset
Given the agent has loaded the "First-Time Buyer" preset When they add or remove keyword triggers in the customization pane And click "Save Customization" Then the updated keyword list is persisted to the user profile And the preset retains its original sentiment threshold values And the system confirms "Customization saved successfully"
Preview Preset Before Saving
Given an agent has selected or customized a preset When they click "Preview" Then a summary modal displays the current sentiment thresholds and keyword triggers And the preview content matches the in-memory preset configuration exactly And the modal offers "Confirm" and "Cancel" options
Reuse Saved Preset on New Listing
Given a user has saved presets in their profile When they open a new listing's SnapAlerts setup Then a list of saved presets is displayed When the user selects a saved preset and clicks "Apply" Then the preset configuration is applied to the new listing And the new listing's SnapAlerts settings mirror the applied preset
Threshold Change Audit Log
"As an administrator, I want a complete audit log of all threshold changes so that I can track who made updates and revert configurations if needed."
Description

An audit log that records every change made to sentiment thresholds and keyword triggers, capturing user identity, timestamp, and before-and-after values. The log is accessible via the ShowJoy analytics dashboard, allowing audit trails and rollback capabilities. This ensures transparency and accountability for configuration adjustments.

Acceptance Criteria
Logging a Threshold Update
Given an agent modifies a sentiment threshold or keyword trigger When the change is saved Then an audit entry is created recording the user identity, timestamp, before-and-after values, and change type
Viewing the Audit Log in Dashboard
Given an authorized user navigates to the audit log section When the audit log page loads Then entries are displayed in descending order by timestamp with columns for user identity, change type, before value, and after value
Rolling Back to Previous Configuration
Given a user selects a past audit entry When the user clicks the rollback action and confirms Then the system restores the previous threshold or keyword values and creates a new audit entry for the rollback action
Filtering Audit Entries by User and Date
Given a user applies filters for user identity and date range When the filters are applied Then only audit entries matching the selected user and date criteria are displayed
Exporting Audit Logs for External Review
Given a user selects the export option and applies any active filters When the user confirms export Then the system generates and downloads a CSV file containing the filtered audit entries and logs the export action as an audit entry

OmniAlert Delivery

Delivers sentiment-tagged SnapAlerts instantly across multiple channels—SMS, email, in-app push, or even Slack—so sellers never miss critical buyer feedback. Sellers can choose their preferred notification method, ensuring timely awareness and response.

Requirements

Multi-channel Notification Configuration
"As a seller, I want to configure which channels I receive SnapAlerts on so that I can be notified of buyer feedback through my preferred methods."
Description

The system shall allow sellers to configure and enable multiple notification channels (SMS, email, in-app push, Slack) for receiving SnapAlerts. Sellers should be able to select preferred channels per listing or globally, test the channels, and manage channel-specific settings such as SMS sender IDs, email templates, push notification sounds, and Slack workspace integrations. This integration ensures that critical buyer feedback is delivered through the seller's most convenient and effective communications platform, increasing responsiveness and engagement.

Acceptance Criteria
Configure Notification Channels per Listing
Given a seller on the notification settings page for a specific listing, when the seller selects SMS and email channels and clicks save, then the system persists these preferences and triggers SnapAlerts via SMS and email for that listing.
Test Configured Notification Channels
Given a seller with configured channels, when the seller clicks the “Send Test Notification” button, then the system sends a test alert through each selected channel and displays a success confirmation message.
Set Global Notification Preferences
Given a seller on the global preferences page, when the seller sets default channels and clicks save, then the system applies these defaults to all listings without custom overrides.
Customize SMS and Email Settings
Given a seller on channel-specific settings, when the seller updates the SMS sender ID and email template then clicks save, the system uses the updated sender ID and template for all subsequent notifications.
Integrate Slack Workspace for SnapAlerts
Given a seller initiates Slack integration, when the seller authorizes the workspace and selects a channel, then the system confirms integration, posts a test alert to the selected Slack channel, and displays a confirmation.
Sentiment Tagging Processor
"As an agent, I want buyer feedback to be sentiment-tagged automatically so that I can quickly gauge the overall tone and prioritize my responses."
Description

The system shall automatically analyze buyer feedback responses from mobile surveys using NLP to assign sentiment tags (positive, neutral, negative) and highlight key phrases. The sentiment tagging processor must integrate with the existing feedback pipeline, process responses in real-time, and attach metadata for each SnapAlert. This enables sellers to quickly identify the tone of feedback and prioritize follow-up actions, improving decision-making and client satisfaction.

Acceptance Criteria
Real-Time Sentiment Tagging
Given a buyer submits mobile survey feedback When the feedback is received by the system Then sentiment tag and key phrases metadata are generated and attached within 5 seconds
Correct Sentiment Classification
Given a test suite of feedback responses with known sentiments When the Sentiment Tagging Processor analyzes them Then the processor assigns the correct sentiment tag in at least 90% of cases
Key Phrase Extraction
Given a buyer feedback containing specific descriptors When processed by the system Then at least three relevant key phrases are extracted and match the expected phrases list
Pipeline Integration
Given processed feedback with sentiment metadata When forwarded to the SnapAlert pipeline Then the metadata fields remain intact and no errors occur in the downstream delivery system
Metadata Schema Compliance
Given a processed feedback item When metadata is inspected Then the record contains 'sentiment' (string) and 'keyPhrases' (array of strings) following the schema definition
Empty Feedback Response Handling
Given an empty survey response When analyzed by the Sentiment Tagging Processor Then sentiment is tagged as 'neutral' and 'keyPhrases' is an empty array
Real-time Alert Dispatch
"As a broker, I want feedback alerts to be delivered instantly so that I can respond to sellers promptly with up-to-date information."
Description

The system must ensure that SnapAlerts are dispatched in real-time with minimal latency once feedback is received and processed. The alert dispatch module should support asynchronous queuing, retry mechanisms for failed deliveries, and throughput scaling to handle peak loads. This ensures sellers receive timely notifications, reducing lag between buyer feedback submission and alert delivery.

Acceptance Criteria
Immediate Alert Enqueue on Feedback Submission
Given a buyer submits feedback and processing completes when feedback is received, When the dispatch module is invoked, Then the alert must be enqueued within 500 milliseconds and delivery initiated immediately.
Delivery Channel Routing per Seller Preference
Given a seller’s notification preference is set to SMS, email, in-app push, or Slack, When an alert is dispatched, Then the system routes the alert to the specified channel and receives a successful 2xx acknowledgment from the channel API.
Retry Logic upon Delivery Failure
Given the first delivery attempt returns a non-2xx response or times out, When a failure is detected, Then the system retries delivery up to 3 times with exponential backoff intervals (1s, 2s, 4s) and logs each attempt.
Performance under Peak Load
Given a sustained peak load of 1,000 feedback submissions per minute, When alerts are processed concurrently, Then the 95th percentile end-to-end dispatch latency remains under 2 seconds.
Queue Stability and Message Integrity
Given continuous feedback events, When the dispatch queue is monitored, Then queue length stays below configured thresholds (e.g., 10,000 messages) and no more than 0.1% of messages are dropped or expired.
Delivery and Read Receipt Tracking
"As a seller, I want to see delivery and read receipts for my alerts so that I know when and if my notifications were received and viewed."
Description

The platform will track the delivery status (sent, delivered, failed) and read/unread status of SnapAlerts across each notification channel. The tracking system should provide a unified dashboard where sellers can view timestamps, channel-specific statuses, and resend failed alerts. This visibility helps sellers confirm that critical feedback has been received and read, reducing communication gaps.

Acceptance Criteria
Successful Delivery Tracking for Email Alerts
Given a SnapAlert is sent via email to a seller When the SMTP server confirms delivery Then the dashboard displays the status as “Delivered” with a timestamp matching the delivery confirmation
Failure Detection for SMS Alerts
Given a SnapAlert is sent via SMS When the SMS gateway returns a failure code Then the dashboard displays the status as “Failed” and provides the failure reason code
Read Receipt Logging for In-App Push
Given a seller receives an in-app push notification When the seller opens the notification Then the system logs the read status and timestamp in the unified dashboard
Unified Dashboard Display of Alert Statuses
Given multiple SnapAlerts are sent across SMS, email, and Slack When the seller views the dashboard Then each alert shows channel, delivery status, read/unread status, and corresponding timestamps in a consolidated list
Resend Functionality for Failed Alerts
Given a SnapAlert shows status “Failed” When the seller clicks “Resend” next to the failed alert Then the system attempts to resend via the original channel and updates the status and timestamp accordingly
User Preference Management
"As a seller, I want to customize my alert preferences and schedule so that I only receive notifications when and how I choose."
Description

The system must provide a user preferences interface within the seller portal, allowing sellers to set default alert settings, manage notification schedules (e.g., quiet hours), and adjust channel priorities. Preferences should persist across sessions and apply automatically to new listings. This feature empowers sellers to customize their alert experience, increasing usability and preventing notification fatigue.

Acceptance Criteria
Setting Default Alert Channels
Given the seller is on the User Preferences page, when they set a priority order of SMS > Email > Slack and save, then all subsequent SnapAlerts must be delivered first via SMS, then Email, then Slack according to that order.
Configuring Quiet Hours
Given the seller defines quiet hours from 22:00 to 08:00 and saves preferences, when a SnapAlert is triggered at 23:15, then no notification is sent until 08:00 the next day and the alert is queued.
Preferences Persistence Across Sessions
Given the seller has updated and saved their preferences, when they log out and log back in, then the User Preferences page must display the previously saved default alert settings, quiet hours, and channel priorities.
Automatic Application to New Listings
Given the seller adds a new property listing after setting their preferences, when buyer feedback generates a SnapAlert for the new listing, then the alert delivery must follow the seller’s saved default channels, schedule, and priorities.
Dynamic Channel Fallback
Given a seller’s top-priority channel is unavailable (e.g., SMS failure), when sending a SnapAlert, then the system must automatically deliver the alert via the next available channel per the seller’s saved priority list and log the fallback event.

SnapFlash Summary

Generates a concise, visually engaging feedback snapshot featuring overall sentiment score, top positive and negative comments, and key metrics. Sellers can grasp feedback highlights at a glance, accelerating decision-making and follow-up actions.

Requirements

Real-Time Feedback Aggregation
"As an agent, I want buyer feedback to appear instantly in SnapFlash Summary so that I can respond quickly to emerging concerns and opportunities."
Description

Integrate SnapFlash Summary with the one-tap mobile survey system to capture and process feedback immediately upon submission, ensuring all new data flows into the snapshot without delays. This functionality enhances the currency and relevance of insights, empowering agents and sellers to see the latest buyer reactions as they occur and make timely adjustments to their showing strategies.

Acceptance Criteria
Survey Submission Triggers Instant Data Ingestion
Given a buyer submits a one-tap mobile survey, when the server receives the response, then the SnapFlash summary must update to include the new feedback within 5 seconds.
Agent Dashboard Real-Time Snapshot Refresh
Given an agent has the SnapFlash summary open in the dashboard, when new feedback arrives, then the summary auto-refreshes without requiring manual page reload and displays the latest metrics.
Consistent Aggregation across Summary and Raw Data
Given multiple surveys are submitted over a showing, when calculating the overall sentiment score, then the SnapFlash snapshot must match the weighted average computed from all raw survey responses with no discrepancies.
Graceful Handle of Feedback Ingestion Failures
Given a network or system error occurs during feedback ingestion, when the failure is detected, then the system must log the error, notify the agent, and preserve the last known valid snapshot without data corruption.
High-Volume Feedback Processing Performance
Given 100 or more survey responses submitted simultaneously, when processed by the system, then all responses must be aggregated and the SnapFlash summary updated within 10 seconds, with 100% of data accounted for.
Sentiment Score Computation
"As a seller, I want a single sentiment score for each showing so that I can quickly understand overall buyer satisfaction without reading every comment."
Description

Develop an algorithm within SnapFlash Summary that analyzes textual feedback and multi-choice survey data to compute an overall sentiment score for each showing. This score should accurately reflect buyer satisfaction levels, offering a clear, quantifiable metric that agents and sellers can use to gauge overall performance and compare across multiple listings.

Acceptance Criteria
Combined Feedback Aggregation
Given textual feedback and a set of multi-choice ratings for a showing, when the computation is triggered, then the algorithm calculates individual sentiment values from text and ratings, applies predefined weights (e.g., 70% text, 30% ratings), and outputs a final sentiment score with a resolution of at least one decimal point.
Score Normalization and Scaling
Given computed raw sentiment scores across multiple showings, when the scores are normalized, then they are scaled to a 0–100 range, with 0 representing extremely negative, 100 representing extremely positive, ensuring linear mapping preserves relative differences.
Real-time Sentiment Update
Given new feedback submissions arrive within 24 hours of a showing, when the algorithm processes the new data, then the sentiment score displayed in SnapFlash is updated within 5 minutes of data receipt without requiring a manual refresh.
Handling Missing Data
Given textual feedback is absent but multi-choice ratings are present (or vice versa), when the algorithm computes the score, then it uses available data with adjusted weighting and flags the missing feedback type in the summary report.
Cross-listing Sentiment Comparison
Given multiple listing sentiment scores for a single agent, when the agent views the SnapFlash dashboard, then the sentiment scores are retrievable, sortable, and visually comparable, with higher scores indicating better performance and trends.
Positive/Negative Comment Extraction
"As an agent, I want to see the most meaningful positive and negative comments at a glance so that I can address major concerns and celebrate strengths without reading every piece of feedback."
Description

Implement natural language processing to automatically identify and rank the top positive and negative comments from buyer feedback. The system should surface the most impactful sentiments, highlighting key praise and concerns, so agents and sellers can focus on the most critical insights without sifting through all responses.

Acceptance Criteria
Dashboard Feedback Summary View
Given a set of buyer feedback responses When NLP processing runs Then the system extracts and ranks the top 3 positive and top 3 negative comments based on sentiment score
Seller Instant Insight Request
Given a seller views the SnapFlash summary Then the top positive and negative comments are displayed prominently within the summary section sorted by sentiment magnitude
Agent Review Session
Given an agent accesses a property's feedback dashboard When the agent filters feedback to 'Top Comments' Then the system displays comments with the highest and lowest sentiment scores along with their respective scores
Automated Daily Report Generation
Given the automated daily report triggers at midnight When feedback is processed Then the report includes the top 5 positive and top 5 negative comments for each listing
Email Notification with Top Comments
Given a new batch of feedback is available When the system sends email notifications to agents Then the email includes the top positive and negative comments with comment text and sentiment score
Interactive Visual Summary Dashboard
"As an agent, I want an interactive visual summary that I can customize and explore so that I can better understand feedback patterns and tailor my follow-up actions."
Description

Create a responsive, visually engaging dashboard that displays the sentiment score, top comments, and key metrics in charts, graphs, and highlight cards. Users should be able to hover or tap for more details, filter by date or showing, and customize which metrics are front and center. This interactivity helps agents and sellers explore data flexibly and derive deeper insights.

Acceptance Criteria
Sentiment Score Visibility
Given the user opens the dashboard When the dashboard finishes loading Then the overall sentiment score is displayed as a numeric value between 0 and 100 with correct color coding and a tooltip explaining the scoring methodology
Top Comments Expandable Details
Given the user views the top comments section When the user clicks or taps on a comment preview Then the full comment text and associated metadata (date, showing ID, sentiment tag) expand in a modal or inline expansion
Date Range Filtering
Given the user has multiple showing dates available When the user selects a start and end date from the date filter Then the dashboard updates to display sentiment scores, comments, and metrics only for showings within the selected date range
Metrics Customization
Given the user wants to prioritize specific metrics When the user opens the metric customization panel and selects or deselects metrics Then the dashboard immediately updates to show only the chosen metrics in the primary view and persisting preferences for future sessions
Interactive Data Point Detail
Given the user hovers or taps on any chart data point When the hover or tap event occurs Then a tooltip appears showing detailed data including metric name, value, date, and context-specific insight
Exportable Snapshot Reports
"As an agent, I want to export a branded feedback snapshot report so that I can share clear, concise insights with sellers and colleagues."
Description

Enable SnapFlash Summary to generate and export feedback snapshots as PDF or shareable links, preserving charts, sentiment scores, and highlighted comments. This export feature allows agents to distribute concise, branded reports to sellers and stakeholders, facilitating transparent communication and collaborative decision-making.

Acceptance Criteria
Agent exports a snapshot as PDF
Given the agent is viewing a SnapFlash summary for a listing, When the agent clicks the 'Export as PDF' button, Then a PDF file is generated containing the overall sentiment score, top positive and negative comments, all charts, and company branding, and is automatically downloaded to the agent's device within 5 seconds.
Agent generates a shareable link
Given the agent has a SnapFlash summary open, When the agent selects 'Create Shareable Link', Then the system generates a unique URL that grants read-only access to the snapshot with all visuals and comments preserved, and the link remains valid for 30 days.
Exported report adheres to branding guidelines
Given the organization's brand assets and templates are configured, When the agent exports a SnapFlash summary via PDF or shareable link, Then the generated report includes the company logo, brand colors, and footer with contact information exactly matching the configured template.
Snapshot content integrity verification
Given a SnapFlash summary containing charts, sentiment scores, and highlighted comments, When the report is exported, Then the PDF and shareable link view display content that matches the on-screen summary identically, including chart labels, data points, and comment text without truncation.
Export performance and file size
Given a SnapFlash summary with up to 5 charts and 100 comments, When exporting to PDF, Then the download completes within 10 seconds and the resulting PDF file size does not exceed 10 MB.

Seller Insights Dashboard

Provides a dedicated portal where sellers access real-time and historical SnapAlerts, sentiment trend charts, alert frequency metrics, and comparative benchmarks. This centralized dashboard offers context-rich analytics to track performance over time and inform strategy adjustments.

Requirements

Secure Seller Dashboard Access
"As a seller, I want a secure login experience so that I can confidently access my performance data without risk of unauthorized access."
Description

Implement robust authentication and authorization mechanisms to ensure that sellers can only access their own Insights Dashboard. This includes single sign-on (SSO) integration, role-based access control, and session management to protect sensitive listing analytics.

Acceptance Criteria
SSO Login for Sellers
Given a registered seller attempts to access the dashboard When they select the "Login with SSO" option and provide valid identity provider credentials Then the system authenticates the seller and grants access to their specific Insights Dashboard within 5 seconds.
Unauthorized Access Prevention
Given a user without seller credentials attempts to navigate to a seller’s dashboard URL When they are not authenticated or their authentication token is invalid Then the system denies access, returns a 403 Forbidden response, and redirects them to the login page.
Role-Based Access Enforcement
Given multiple user roles exist (seller, agent, admin) When a user logs in Then the system ensures only users with the "seller" role see and can interact with the Seller Insights Dashboard; other roles receive a "Access Not Authorized" message.
Session Timeout and Renewal
Given a seller is inactive on the dashboard for 15 minutes When the session timeout threshold is reached Then the system automatically logs out the seller, invalidates the session token, and prompts re-authentication; If the seller clicks "Continue Session" within the warning period, a new session is created.
Data Isolation Between Sellers
Given two sellers with separate listing portfolios When each logs in to their dashboard Then each seller only sees SnapAlerts, sentiment trends, and metrics for their own listings, with no cross-visibility of the other seller’s data.
Real-time SnapAlert Feed
"As a seller, I want to see incoming feedback instantly so that I can respond promptly and stay informed about real-time buyer reactions."
Description

Provide a continuously updating feed of incoming SnapAlerts, displaying each alert’s timestamp, sentiment score, and summary. The feed must auto-refresh without page reloads and highlight new entries for quick review.

Acceptance Criteria
New SnapAlert Arrival Highlighting
Given a new SnapAlert is received, when the feed auto-refreshes, then the new entry must be visually highlighted with a distinct background color for at least 5 seconds.
Feed Auto-Refresh Frequency
Given the user is viewing the SnapAlert feed, when there are no page reloads, then the feed must poll the server and update with any new SnapAlerts at least once every 5 seconds.
Timestamp and Sentiment Accuracy
Given each SnapAlert displayed in the feed, when the alert is rendered, then it must show the correct timestamp formatted as 'HH:MM AM/PM' and the exact sentiment score retrieved from the backend.
Summary Text Display
Given each incoming SnapAlert, when the summary is displayed, then it must truncate text longer than 100 characters with an ellipsis and allow a tooltip on hover to show the full summary.
High-Frequency Alert Handling
Given a surge of SnapAlerts (more than 50 in a minute), when the feed receives them, then the UI must batch display updates without freezing and highlight only the first 10 new entries.
Historical Sentiment Trends
"As a seller, I want to view sentiment trends over time so that I can identify patterns and measure the impact of my listing strategies."
Description

Visualize sentiment data over time through interactive line charts and moving averages. Users can adjust date ranges, zoom into specific periods, and hover over data points for detailed metrics, enabling performance tracking across days, weeks, and months.

Acceptance Criteria
Date Range Selection
Given the seller opens the Historical Sentiment Trends dashboard, When they select a start date and end date in the date picker, Then the line chart updates to display data only for the specified date range.
Zoom Interaction
Given a displayed chart, When the seller drags to highlight a segment on the chart, Then the chart zooms into the selected time period and the axes update accordingly.
Tooltip Data Display
Given a visible data point on the chart, When the seller hovers over it, Then a tooltip appears showing the exact sentiment score, date, and number of SnapAlerts for that point.
Moving Average Toggle
Given the chart displays raw sentiment data, When the seller toggles the 'Moving Average' switch, Then a smoothed trend line appears or disappears without affecting the underlying data points.
Large Date Range Performance
Given the seller selects a date range longer than six months, When the chart renders, Then it loads fully within two seconds and allows smooth interactions without lag.
Comparative Benchmark Analysis
"As a seller, I want to compare my listing’s feedback with market benchmarks so that I can gauge competitiveness and adjust my pricing or staging accordingly."
Description

Offer benchmark metrics comparing a seller’s listing performance against aggregated data from similar properties in the market. Include metrics such as average sentiment score, alert frequency, and time on market to contextualize individual results.

Acceptance Criteria
Benchmark Comparison Display
Given a seller views their listing on the Seller Insights Dashboard and selects the "Benchmark Analysis" tab, When the system retrieves aggregated market data for similar properties filtered by location, price range, and property type, Then the dashboard displays the seller’s listing metrics side-by-side with benchmark values for average sentiment score, alert frequency, and time on market.
Average Sentiment Score Calculation
Given the platform has collected buyer feedback scores for multiple listings, When the system computes the average sentiment score for comparable properties, Then the calculated benchmark average is accurate within a 1% margin of the aggregated source data.
Alert Frequency Comparison
Given the seller’s listing has received SnapAlerts over the last 30 days, When the dashboard pulls alert count data for similar listings in the same period, Then it displays both the seller’s alert frequency and the market benchmark frequency, and highlights any variance exceeding ±10%.
Time on Market Benchmarking
Given a listing’s active duration in days, When the system queries the time-on-market data for comparable properties in the region, Then the dashboard shows the seller’s time on market versus the median benchmark and indicates if the listing is under or over the benchmark by at least 5%.
Responsive Dashboard Rendering
Given the seller accesses the Comparative Benchmark Analysis on desktop or mobile devices, When the dashboard loads and renders visualization components, Then all benchmark charts and metrics are fully visible, legible, and interactive without horizontal scrolling on screens down to 320px width.
Customizable Alert Settings
"As a seller, I want to tailor my alert settings so that I receive only the feedback that matters to me and avoid notification overload."
Description

Allow sellers to configure which SnapAlerts trigger notifications, set sentiment thresholds, and choose notification channels (email, SMS, in-app). Provide templated alert rules and the ability to save multiple profiles.

Acceptance Criteria
Configuring a New Alert Notification Profile
Given the seller opens Customizable Alert Settings, When the seller selects one or more SnapAlert types, sets the sentiment threshold, chooses at least one notification channel, and clicks 'Save', Then the new alert profile appears in the profiles list with the correct settings.
Applying a Templated Alert Rule
Given the seller accesses templated alert rules, When the seller selects a template and clicks 'Apply to Profile', Then the profile’s alert types, thresholds, and channels update to match the template settings.
Switching Between Multiple Alert Profiles
Given the seller has created multiple alert profiles, When the seller selects a different profile from the profiles dropdown, Then the displayed SnapAlert types, sentiment thresholds, and notification channels reflect the selected profile.
Editing an Existing Alert Profile
Given the seller views an existing alert profile, When the seller modifies a sentiment threshold or adds/removes a notification channel and clicks 'Update', Then the profile’s settings are saved and the updated configuration is used for subsequent alerts.
Deleting an Alert Profile
Given the seller views the list of alert profiles, When the seller clicks the delete icon for a profile and confirms the action, Then the profile is removed from the list and no further alerts are generated based on it.
Data Export and Sharing
"As a seller, I want to export and share my dashboard reports so that I can distribute insights to my team and make collaborative decisions."
Description

Enable sellers to export dashboard data and visualizations in PDF or CSV formats. Include options to schedule recurring exports and share links or snapshots with brokers, stakeholders, or marketing teams.

Acceptance Criteria
One-Time PDF Export
Given a seller is viewing the dashboard, when they select 'Export' and choose 'PDF' for a one-time export, then the system generates a PDF including all visible data tables and charts in the correct layout and prompts a download within 5 seconds.
One-Time CSV Export
Given a seller is viewing the dashboard, when they select 'Export' and choose 'CSV' for a one-time export, then the system generates a CSV with all raw data rows and columns and prompts a download within 5 seconds.
Scheduled Recurring Exports Setup
Given a seller wants recurring exports, when they configure export frequency (daily, weekly, monthly), format (PDF/CSV), and recipient email, and click 'Schedule', then the system saves the schedule, sends a confirmation message, and dispatches the first export at the scheduled time.
Shareable Link Generation
Given a seller has generated an export, when they click 'Share Link', then the system creates a unique, secure URL valid for 7 days, copies it to the clipboard, and displays a notification confirming link creation.
Snapshot Sharing via Email
Given a seller selects 'Email Snapshot', when they enter recipient emails and click 'Send', then the system generates a PDF snapshot, attaches it to an email, and sends it to all recipients within 1 minute, with success or failure notifications displayed.

Action Advisor

Leverages AI-driven analysis of buyer feedback to recommend personalized next steps—such as pricing tweaks, staging improvements, or targeted marketing tips—based on sentiment patterns and feedback themes. Sellers receive practical guidance to boost listing attractiveness and accelerate offers.

Requirements

Feedback Data Aggregation
"As an agent, I want all buyer feedback from multiple listings to be automatically collected and organized so that the AI can analyze it accurately without manual data preparation."
Description

Aggregate buyer feedback from one-tap mobile surveys across all listings, normalize incoming data, and store it in a centralized repository. This requirement ensures consistent data structure and real-time availability for downstream AI processing, eliminating manual collection efforts and enabling accurate analysis.

Acceptance Criteria
Real-Time Survey Intake
Given a buyer submits a one-tap mobile survey for Listing X When the system receives the survey payload Then within 2 seconds the feedback is normalized to the standard data schema and stored in the centralized repository
Batch Data Import Initialization
Given a CSV file of 50,000 historical feedback records When the batch ingestion job executes Then all records are ingested, normalized without errors, and persisted in the repository
Data Availability for AI Processing
Given new normalized feedback entries in the repository When the AI pipeline requests the latest feedback Then all survey entries submitted within the last 5 minutes are returned via the API
Duplicate Feedback Handling
Given duplicate survey submissions (same buyer, listing, timestamp) When the normalization process runs Then only the first submission is stored, duplicates are flagged, and no identical records exist
Field Normalization Accuracy
Given raw feedback with varying rating scales (1–5, 0–10, descriptive grades) When normalization executes Then all ratings convert accurately to a unified 0–100% scale per normalization rules
Sentiment Analysis Engine
"As a broker, I want the system to interpret the tone and themes in buyer feedback so that I can understand what aspects of a property resonate or deter buyers."
Description

Implement an AI-driven sentiment analysis module that processes normalized feedback text to identify sentiment polarity (positive, negative, neutral) and extract key themes or topics. The engine integrates with the feedback database and outputs structured sentiment scores to inform personalized recommendations.

Acceptance Criteria
Positive Feedback Classification
Given a batch of buyer feedback containing explicitly positive expressions, when processed by the sentiment analysis engine, then each feedback entry shall be tagged with ‘positive’ polarity with a confidence score ≥ 0.90.
Negative Feedback Classification
Given a batch of buyer feedback containing explicitly negative expressions, when processed by the sentiment analysis engine, then each feedback entry shall be tagged with ‘negative’ polarity with a confidence score ≥ 0.90.
Neutral Feedback Classification
Given buyer feedback lacking clear positive or negative cues, when processed by the sentiment analysis engine, then each feedback entry shall be tagged with ‘neutral’ polarity and confidence scores that reflect uncertainty (>0.40 and <0.60).
Feedback Theme Extraction
Given processed feedback entries, when run through the engine’s topic extractor, then the top three themes per entry shall be identified with an average precision and recall ≥ 0.80 against a validated test set.
Database Integration and Output
Given new feedback records in the feedback database, when the sentiment analysis engine runs, then corresponding structured sentiment records including polarity, confidence score, and extracted themes shall be written to the output datastore within 2 seconds of processing.
Personalized Recommendation Generator
"As a seller, I want AI-driven suggestions on how to improve my listing based on buyer feedback so that I can take targeted actions to increase interest and offers."
Description

Develop ML-driven recommendation algorithms that generate tailored next-step guidance—such as pricing tweaks, staging improvements, or targeted marketing tips—based on identified sentiment patterns and feedback themes. Leverage historical listing performance data and domain-specific rules to ensure relevance and effectiveness.

Acceptance Criteria
Dynamic Pricing Adjustment Suggestion
Given buyer feedback sentiment indicates price concerns and historical data shows a 5% price reduction increased showings When generating a recommendation Then suggest a price adjustment of 3-6% with supporting data insights
Staging Improvement Guidance
Given sentiment analysis identifies mentions of clutter or poor lighting in feedback When creating guidance Then propose specific staging improvements such as decluttering key rooms and enhancing lighting with sample vendor contacts
Targeted Marketing Strategy Recommendation
Given feedback themes highlight buyer demographics interest (e.g., families or millennials) When formulating marketing recommendations Then suggest targeted channels and messaging (e.g., school district newsletters, social media ads) with projected engagement metrics
Historical Listing Performance Consistency
Given the algorithm cross-references recommendations against at least 50 past listings with similar attributes When evaluating recommendation validity Then ensure suggested actions have improved key metrics in ≥75% of comparable cases
Compliance with Domain-Specific Rules
Given local regulations and HOA guidelines are loaded into the system When generating recommendations Then verify all suggestions comply with these constraints and flag any potential violations
Interactive Advisor Interface
"As an agent, I want to view and apply AI recommendations directly in my dashboard so that I can quickly implement seller-approved actions without switching tools."
Description

Design and build a user interface within the ShowJoy dashboard and mobile app that presents AI-generated recommendations in a clear, actionable format. Include features like one-click adoption, explanatory tooltips, filtering by recommendation category, and a timeline view of past recommendations to enhance usability and integration.

Acceptance Criteria
One-Click Adoption of AI Recommendations
Given an agent views an AI-generated recommendation on either the dashboard or mobile app, when they click the 'Apply' button, then the system applies the recommendation to the listing settings and updates the recommendation status to 'Adopted' within 2 seconds.
Tooltip Explanation Accessibility
Given the agent hovers over or taps the info icon next to a recommendation, when the tooltip appears, then it displays a concise description of how the recommendation was derived and includes a link to detailed guidance, and is accessible per WCAG 2.1 AA standards.
Recommendation Category Filtering
Given an agent selects a filter category (e.g., Pricing, Staging, Marketing), when the filter is applied, then only recommendations matching the selected category are displayed and the filter state persists when navigating between pages.
Timeline View Display
Given an agent switches to the timeline view of past recommendations, when the view loads, then recommendations are sorted chronologically with date stamps, status labels, and link to details, and the view loads within 3 seconds for up to 100 items.
Mobile App Integration Consistency
Given an agent uses the mobile app, when they access the Interactive Advisor Interface, then all features (one-click adoption, tooltips, filtering, timeline) are fully functional and UI matches the dashboard version within a 10% variance in layout metrics.
Recommendation Performance Tracking
"As a product manager, I want to monitor how AI recommendations influence listing performance so that I can refine the algorithms and demonstrate ROI."
Description

Implement analytics to track the adoption and impact of AI recommendations over time, including metrics such as number of recommendations applied, changes in listing views, showings, and offer rates. Provide visual reports and alert notifications to help stakeholders monitor ROI and refine strategies.

Acceptance Criteria
Recommendation Adoption Rate Monitoring
- The dashboard displays the total number of applied recommendations and the percentage adoption rate for the selected listing over the chosen time period. - Adoption data is automatically refreshed daily at 00:00 UTC.
Impact on Listing Views and Showings
- The analytics report shows listing views and showings before and after recommendation adoption, with percentage change calculated. - Calculations match raw event logs within a ±1% margin of error. - Metrics update automatically every 24 hours.
Offer Rate Analysis
- The system calculates and displays the offer submission rate before and after recommendations are applied, including absolute and percentage differences. - Offer rates are updated weekly and include only offers submitted after the recommendation application date.
Visual Report Generation
- Users can generate a visual report with line charts for adoption rate, views, showings, and offer rates over a selectable date range. - Reports are exportable as PDF and downloadable from the dashboard. - Charts accurately reflect data for the chosen date range and listing.
ROI Alert Notifications
- Stakeholders receive an email and in-app notification when adoption rate exceeds 75% or listing views increase by at least 20% within two weeks of recommendations. - Alerts include metric details, listing ID, and suggested next steps. - Notifications are sent within one hour of meeting threshold conditions.

Emotional Heatmap

Visualizes buyer sentiment data overlaid on a property floor plan, highlighting areas that resonated strongly or generated concerns. Sellers gain targeted insights into which rooms or features drive buyer reactions, enabling focused improvements and more effective showings.

Requirements

Floor Plan Overlay
"As a real estate agent, I want to see buyer sentiment overlaid on the floor plan so that I can quickly identify which rooms resonate most with prospects."
Description

Overlay buyer sentiment data onto the property’s 2D floor plan using a color-coded heatmap that highlights areas with positive, neutral, or negative reactions, enabling agents and sellers to visualize spatial insights at a glance.

Acceptance Criteria
Viewing Heatmap Overlay
Given an agent opens a property’s 2D floor plan, when the system retrieves sentiment data, then the floor plan displays a color-coded overlay aligned to each room with green for positive, yellow for neutral, and red for negative reactions.
Filtering Heatmap by Sentiment
Given the heatmap is displayed, when the agent selects a sentiment filter (positive, neutral, negative), then only areas matching the selected sentiment highlight, and all other areas dim by 50%.
Legend Interpretation and Accessibility
Given the heatmap overlay is visible, when the agent opens the legend, then it shows clear color definitions for each sentiment category and includes accessible text descriptions for screen readers.
Exporting Heatmap Data
Given the property heatmap is active, when the agent clicks export, then the system generates a PDF and CSV report containing the floor plan snapshot and underlying sentiment coordinates and intensity values.
Real-time Heatmap Update
Given a new buyer survey is submitted, when the data sync completes, then the heatmap overlay refreshes within 5 seconds to reflect updated sentiment without requiring a manual page reload.
Sentiment Data Mapping
"As a broker, I want the system to automatically map survey responses to their corresponding room locations so that I don’t have to manually tag feedback."
Description

Automatically map mobile survey responses to specific rooms or features by associating GPS or manual coordinate tagging, ensuring feedback is accurately tied to the correct location on the floor plan.

Acceptance Criteria
Automatic GPS-Based Tagging of Survey Responses
Given a mobile survey response with GPS data, When the response is submitted, Then the system maps the response to the corresponding room polygon within 5 meters accuracy on the floor plan.
Manual Coordinate Tagging of Non-GPS Responses
Given a buyer manually selects a point on the floor plan, When the pin is placed, Then the system assigns the response to the nearest defined room or feature within 2 meters.
Mapping Responses to Specific Features
Given a survey question about a specific feature (e.g., fireplace), When a response is submitted, Then the system correctly associates the sentiment with the feature’s location on the floor plan.
Error Handling for Missing Coordinate Data
Given a survey response without GPS or manual coordinates, When the system processes the response, Then it flags the response as “Location Unknown” and prompts for manual correction.
Real-Time Sentiment Overlay Refresh
Given new sentiment data arrives, When it is mapped, Then the emotional heatmap updates within 2 seconds to reflect the latest responses without a full page reload.
Interactive Heatmap Controls
"As an agent, I want to zoom and filter the heatmap by date and sentiment type so that I can analyze trends and drill down into particular showings."
Description

Provide interactive controls for zooming, panning, and filtering sentiment data by date range or feedback type, allowing users to explore and focus on specific areas or time frames.

Acceptance Criteria
Zooming In and Out on Heatmap
Given the heatmap is displayed on the property floor plan When the user clicks the zoom-in button or performs a pinch-to-zoom gesture Then the heatmap magnification increases smoothly by one zoom level, the sentiment overlay remains accurate, and UI controls update to reflect the new zoom level Given the heatmap is zoomed in When the user clicks the zoom-out button or performs a reverse pinch gesture Then the heatmap magnification decreases smoothly by one zoom level and data overlay remains correctly aligned
Panning Across the Heatmap
Given the heatmap is at a zoom level greater than default When the user clicks and drags (or swipes) on the heatmap Then the view pans in the direction of the drag, the sentiment data remains correctly aligned to the underlying floor plan, and boundary edges prevent panning outside the map area
Filtering Heatmap by Date Range
Given the date-range filter control is visible When the user selects a start and end date and applies the filter Then the heatmap updates to display only sentiment data collected within the specified date range and the filter control shows the active range
Filtering Heatmap by Feedback Type
Given feedback-type toggles (e.g., Positive, Negative, Neutral) are available When the user selects or deselects one or more feedback types Then the heatmap updates in real time to include only data points matching the selected feedback types and the toggles indicate their active state
Combined Filter and Zoom Interaction
Given filters are applied and the map is at any zoom level When the user zooms or pans Then the heatmap retains the current filters, updates data overlays correctly for the new view, and maintains consistent performance with no data lag
Exportable Insight Reports
"As an agent, I want to export the heatmap and insights in a shareable report so that I can present clear, actionable feedback to sellers."
Description

Generate downloadable reports that include the heatmap visualization, key metrics, and written summaries of high-interest and concern areas, facilitating easy sharing with sellers and stakeholders.

Acceptance Criteria
Agent downloads report after a property showing
Given the agent views a completed showing in the web app When the agent clicks the “Download Report” button Then a PDF file containing the floor plan heatmap, key metrics (e.g., average sentiment, top concerns), and written summaries of high-interest and concern areas is generated And the download begins automatically within 10 seconds
Agent previews report in the application before export
Given the agent opens the report preview panel When the agent selects a date range or showing filter Then the heatmap, metrics, and summaries update in real time And the agent can review the content before exporting
Broker schedules automated weekly report distribution
Given the broker configures a weekly schedule and distribution list When the specified day and time occur Then the system automatically generates the insight report PDF And emails the report to all recipients without manual intervention
Seller accesses shared report via secure link
Given the agent shares the generated report link with a seller When the seller clicks the link Then the report opens in a secure view-only mode And the seller can download the PDF without needing login credentials
Filtered export by date range and property
Given the agent selects multiple listings and custom date range When the agent applies filters and initiates export Then the exported report includes only data matching the selected listings and dates And the file name reflects the filter parameters
Responsive Visualization
"As an agent in the field, I want to access an optimized heatmap view on my mobile device so that I can review buyer feedback immediately after showings."
Description

Ensure the heatmap interface is fully responsive across desktop and mobile devices, maintaining clarity and usability on various screen sizes to support on-the-go access.

Acceptance Criteria
Desktop Viewport Responsiveness
Given the user opens the Emotional Heatmap on a desktop browser with viewport width between 1024px and 1920px, When the page loads, Then the heatmap overlay aligns accurately with the floor plan, all controls and legends are fully visible, and no horizontal scrolling is required.
Tablet Portrait Responsiveness
Given the user opens the Emotional Heatmap on a tablet in portrait orientation (width between 600px and 1023px), When the page loads, Then the layout reflows to a single-column view, the floor plan and overlay scale proportionally, and touch controls remain accessible without overlap.
Tablet Landscape Responsiveness
Given the user views the Emotional Heatmap on a tablet in landscape orientation (width between 1024px and 1366px), When the page loads, Then the heatmap and floor plan display side by side with clear spacing, all interactive elements are tappable, and no elements are clipped.
Mobile Portrait Responsiveness
Given the user accesses the Emotional Heatmap on a mobile device in portrait mode (width less than 600px), When the page loads, Then the heatmap overlays switch to a stacked layout below the floor plan, pinch-to-zoom and pan gestures work smoothly, and no horizontal scrolling is required.
Mobile Landscape Responsiveness
Given the user views the Emotional Heatmap on a mobile device in landscape mode (width between 600px and 840px), When the page loads, Then the interface adjusts to display the heatmap overlay at 90% width with controls relocated to the bottom, ensuring all elements remain visible and interactive.

Interactive Hotspots

Adds tappable hotspots within the 360° preview to highlight property features like countertops, fixtures, and architectural details. Buyers can explore specific areas at their own pace, gaining deeper insight and reducing follow-up questions.

Requirements

Hotspot Placement Interface
"As a real estate agent, I want to place interactive hotspots on the 360° preview easily so that I can highlight property features without technical complexity."
Description

Develop an intuitive UI within the 360° preview editor that enables agents to add, position, and adjust interactive hotspots on property images. The interface should support drag-and-drop placement, resizing, and rotation of hotspots, with real-time preview. Integration: embed within the current 360° editor module, leveraging existing image layers and toolbars. Expected outcome: agents can create hotspots in under two minutes per tour.

Acceptance Criteria
Agent adds a new hotspot via drag-and-drop
Given the agent is in the 360° preview editor and clicks the 'Add Hotspot' button, When the agent drags the hotspot placeholder and releases it on an image layer, Then the hotspot appears at the exact drop coordinates and remains anchored when the view is panned or zoomed.
Agent resizes a hotspot in the 360° preview editor
Given the agent has placed a hotspot, When the agent drags a resize handle on the hotspot, Then the hotspot’s width and height update in real time, maintaining its aspect ratio if the 'Lock Ratio' option is enabled.
Agent rotates a hotspot to align with property features
Given the agent has selected an existing hotspot, When the agent uses the on-screen rotation control or enters a rotation angle value, Then the hotspot’s orientation updates immediately and the displayed rotation angle matches the applied orientation.
Agent views real-time preview of hotspot modifications
Given the agent adjusts hotspot placement, size, or rotation, When any change is made, Then the 360° preview updates within 200 milliseconds to reflect the change in the real-time editor preview window.
Agent completes hotspot placement within time threshold
Given a standard 360° scene, When the agent adds, positions, resizes, and rotates a hotspot, Then the total time elapsed from the first click to final placement does not exceed two minutes, as measured by the editor’s built-in timer.
Hotspot Metadata Editor
"As an agent, I want to add detailed descriptions and links to each hotspot so that buyers can access more information instantly."
Description

Implement a metadata panel where agents can attach titles, descriptions, links to floor plans, and external resources to each hotspot. The panel should allow text formatting (bold, italics), bullet lists, and URL embedding. Metadata should be stored in the backend content store and retrieved for rendering.

Acceptance Criteria
Create Metadata for a New Hotspot
Given an agent has created a new hotspot on a 360° preview, when they open the metadata panel and enter a title, description, and click 'Save', then the metadata is saved successfully and displayed in the hotspot preview.
Apply Text Formatting in Metadata
Given an agent is editing the description field in the metadata panel, when they apply bold, italics, or bullet list formatting, then the formatted text is correctly stored and rendered in the preview.
Embed URLs in Hotspot Metadata
Given an agent adds a URL in the metadata panel, when they insert a valid link and save, then the link is clickable in the preview and opens the correct resource in a new tab.
Link Floor Plans from Metadata Panel
Given an agent attaches a floor plan link in the metadata panel, when they save the metadata, then a 'View Floor Plan' link appears in the preview and opens the linked document.
Persist and Retrieve Hotspot Metadata
Given an agent has saved metadata for a hotspot, when the preview reloads or the session is refreshed, then the metadata is retrieved from the backend content store and displayed accurately.
Interactive Hotspot Rendering
"As a buyer, I want hotspots to be clearly visible and responsive so that I can explore property details seamlessly."
Description

Build the frontend logic to render hotspots as tappable icons on the 360° viewer. Each hotspot should appear as a visually distinct marker with custom icon options, animate on hover, and display metadata overlay on tap. Must support mobile and desktop responsiveness, degrade gracefully on older browsers, and respect performance budgets.

Acceptance Criteria
Desktop Hotspot Rendering
Given a desktop browser loads the 360° viewer, When the viewer finishes loading, Then hotspots must appear at predefined coordinates with custom icons rendered at 24x24px and distinct from the background.
Mobile Hotspot Rendering
Given a user opens the 360° viewer on a mobile device, When the scene is rendered, Then hotspots should appear as tappable markers sized at minimum 32x32px, and remain responsive to touch events without delay.
Hotspot Metadata Display
Given a user taps on a hotspot icon, When the tap event is detected, Then a metadata overlay must appear within 200ms, showing title, description, and optional link, and must dismiss when tapping outside the overlay.
Graceful Degradation on Unsupported Browsers
Given the viewer is loaded in an older browser without WebGL support, When hotspots are initialized, Then interactive icons must be replaced with a fallback static legend listing hotspot positions and metadata links.
Performance Budget Compliance
Given the viewer and hotspots are loaded together, When measuring page load and render times, Then total load time must not exceed 2 seconds and CPU usage during interaction must stay below 30% on target devices.
Mobile Interaction Optimization
"As a buyer browsing on my phone, I want hotspots to respond reliably to my taps so that I can focus on the property details without frustration."
Description

Optimize the hotspot touch interaction for mobile devices by ensuring hotspots are finger-friendly (minimum touch area of 44x44px), detect single-tap vs double-tap, and avoid accidental closures. Implement responsive overlays that reposition to avoid viewport clipping on different screen sizes.

Acceptance Criteria
Finger-Friendly Touch Area
Each hotspot touch target shall have a minimum touch area of 44px by 44px on all mobile screen sizes; the rendered touch boundary shall be verified by automated tests across viewports (320×568, 375×667, 414×896) to ensure compliance; manual validation confirms visual feedback on tap within the defined area.
Single Tap Activation vs Double Tap Handling
Given a user views a hotspot, when the user single-taps the hotspot, then the hotspot overlay opens within 200ms without zooming the preview; and given the user double-taps the hotspot (two taps within 300ms), then the system performs a zoom-in gesture without opening or closing the overlay.
Accidental Closure Prevention
Given the hotspot overlay is open, when the user taps outside the overlay but within a 20px perimeter buffer, then the overlay remains open; when the user taps outside the buffer zone or on the explicit close button, then the overlay closes.
Responsive Overlay Positioning
Given any mobile screen width (320px–1024px), when a hotspot is tapped, then the overlay repositions fully within the viewport without clipping; on widths <360px the overlay displays as a full-width bottom sheet, on widths ≥360px it appears adjacent to the hotspot and shifts left or right if near screen edges.
Multi-Touch Gesture Compatibility
Given the overlay is closed, when the user performs a pinch-to-zoom on the 360° preview, then the preview zooms without triggering hotspot interactions; given the overlay is open, when the user pinches on the preview background, then the zoom occurs without closing or glitching the overlay.
Hotspot Interaction Analytics
"As an agent, I want to see analytics on which hotspots buyers interact with most so that I can understand their interests and tailor follow-ups."
Description

Integrate analytics tracking for hotspot interactions, recording which hotspots are tapped, view durations, and subsequent actions. Data should feed into the reporting dashboard, allowing agents to see top-engaged features and buyer interests.

Acceptance Criteria
Single Hotspot Tap Recording
Given a buyer is viewing a property’s 360° preview with active hotspots When the buyer taps on a specific hotspot Then the system must record the hotspot’s unique ID, the timestamp of the tap, and the buyer’s session ID in the analytics database
Multiple Hotspot Interactions Tracking
Given a buyer explores multiple hotspots in one viewing session When the buyer taps on any number of hotspots Then each tap must generate a separate analytics event with the correct hotspot ID and sequence order
Hotspot View Duration Measurement
Given a buyer taps and holds a hotspot for more than one second When the buyer releases or navigates away Then the system must log the total duration of the interaction in milliseconds against the hotspot’s analytics record
Subsequent Action Linking
Given a buyer taps a hotspot and then schedules a showing or saves the listing within the same session When the subsequent action occurs Then the analytics record for that session must link the action to the preceding hotspot tap events
Dashboard Data Integration
Given analytics events for hotspot taps and durations exist When an agent views the reporting dashboard Then the top five most tapped hotspots and their average view durations must be displayed and updated with data no older than five minutes

LiveGuide VR Sessions

Enables agents to host real-time VR walkthroughs within the QuickPeek environment. Buyers can join a live session, ask questions, and receive personalized guidance, replicating an in-person showing experience remotely.

Requirements

Session Scheduling & Launch
"As an agent, I want to schedule and launch live VR walkthroughs so that I can efficiently host remote property showings with minimal setup."
Description

Agents can schedule LiveGuide VR sessions directly within QuickPeek by selecting the property, date, time, and invitees. The system sends automated invites with unique secure access links, integrates with calendar services for reminders, and allows instant one-click launch. This streamlines setup, reduces manual coordination, and ensures a professional, seamless start to each session.

Acceptance Criteria
Real-Time Interaction & Annotation
"As a buyer, I want to ask questions and see highlighted annotations during the VR tour so that I can understand property details clearly."
Description

During LiveGuide VR sessions, buyers can use voice chat and on-screen pointers to ask questions and highlight areas of interest. Agents can draw annotations, place digital markers, and overlay property information in real time. This functionality replicates in-person guidance, enhances engagement, and clarifies details without breaking immersion.

Acceptance Criteria
Buyer Initiates Voice Chat
Given a LiveGuide VR session is active When a buyer taps the voice chat button Then the buyer’s audio is transmitted to the agent with ≤200ms latency and both parties can hear each other clearly
Buyer Uses On-Screen Pointer to Highlight Areas
Given a LiveGuide VR session is active When a buyer taps and drags on the VR view Then a distinct pointer appears at the correct 3D location for both buyer and agent within 100ms of movement
Agent Draws Annotations During Session
Given a LiveGuide VR session is active When an agent selects the annotation tool and draws freehand Then the annotation appears in real time on the buyer’s view with ≥95% positional accuracy
Agent Places Digital Markers on Points of Interest
Given a LiveGuide VR session is active When an agent places a digital marker on an object Then the marker appears immediately in the shared VR environment with correct label and remains until removed
Agent Overlays Property Information on VR View
Given a LiveGuide VR session is active When an agent selects a property info overlay Then the overlay displays the correct information (e.g., room size, feature details) and can be repositioned by both agent and buyer
Participant Management & Controls
"As an agent, I want to control attendance and audio settings in the live VR session so that I can maintain a focused and manageable walkthrough."
Description

Agents have a dedicated control panel to manage session attendees: view participant list, admit or remove users, mute/unmute individual or all audio, and adjust session capacity settings. This ensures orderly group walkthroughs, prevents disruptions, and maintains a professional experience.

Acceptance Criteria
Admitting Participants to an Ongoing VR Session
Given the agent is in the control panel during an ongoing session, When the agent clicks 'Admit' next to a pending attendee, Then the attendee is moved from the lobby to the active participants list within 2 seconds and receives a notification confirming entry.
Removing Disruptive Participants During a VR Session
Given the agent spots a disruptive participant in the active participants list, When the agent selects 'Remove' for that participant, Then the participant is disconnected immediately and removed from the list, and the participant receives a 'You have been removed' notification.
Muting and Unmuting Individual Participant Audio
Given the agent views the participant list, When the agent toggles the mute/unmute control for a specific participant, Then the participant’s audio is silenced or re-enabled within 1 second and the participant sees an icon reflecting the current mute state.
Muting and Unmuting All Participant Audio Simultaneously
Given the agent is managing an active session, When the agent selects 'Mute All' and confirms the action, Then all participant audio is silenced and mute icons appear next to every participant. When the agent selects 'Unmute All', all audio is restored and icons update accordingly.
Adjusting Session Capacity Before a VR Session
Given the agent opens the session settings before the session starts, When the agent sets a new maximum participant count, Then the updated capacity is saved, additional join requests are blocked once the limit is reached, and new joiners see a 'Session Full' message.
Session Recording & Playback
"As a buyer, I want to replay the VR tour session later so that I can review property details at my own pace."
Description

All LiveGuide VR sessions (video, audio, annotations) are recorded and stored in the QuickPeek library. Agents and buyers can access recordings on demand, review key moments, share with stakeholders, or use them for follow-up. Recording enhances client transparency, supports decision-making, and provides valuable marketing content.

Acceptance Criteria
Start Recording Confirmation
Given an agent is in an active LiveGuide VR session When the agent presses 'Record' Then video, audio, and annotations begin recording and a visual indicator shows recording is active.
Recording Storage Validation
Given a session has ended When the recording is finalized Then the recording is stored in the QuickPeek library under the correct session ID with metadata (timestamp, duration) and file size > 0.
Playback Access for Agent and Buyer
Given a stored session recording exists When an agent or buyer selects the recording from the library Then the recording loads within 2 seconds and playback controls (play, pause, seek) function correctly.
Annotation and Timestamp Integrity
Given recorded annotations during a session When playback reaches each annotation timestamp Then the annotation overlays appear at the correct moment synchronized with video and audio.
Export and Sharing of Session Recordings
Given a user requests to share a recording When the user selects 'Export' or 'Generate Link' Then the system provides a downloadable file and/or shareable link within 10 seconds and adheres to the user's sharing permissions.
Adaptive Streaming & Performance Optimization
"As a buyer, I want the VR session to adapt to my internet speed so that I don't experience lag or disconnections."
Description

LiveGuide VR automatically adapts streaming quality based on each participant’s network bandwidth and device capabilities. The system monitors connection metrics in real time and dynamically adjusts resolution and frame rate to minimize lag and maintain a continuous, high-quality experience across varying network conditions.

Acceptance Criteria
Bandwidth Fluctuation Handling
Given a participant’s network bandwidth drops below 1 Mbps, when the system detects the drop, then the streaming resolution decreases by one tier and frame rate adjusts within 3 seconds without interruption.
Network Recovery Upscaling
Given a participant’s bandwidth increases above 2 Mbps, when the system verifies stable bandwidth for 5 consecutive seconds, then the streaming resolution and frame rate upscale to the optimal preset within 5 seconds.
Device Capability Detection
Given a participant joins the VR session, when the system analyzes device CPU, GPU, and memory metrics, then it selects and applies the highest streaming settings supported by the device before the first frame is rendered.
Seamless Quality Transition
Given a mid-session quality adjustment event, when the system transitions streaming parameters, then there is no freezing of audio or video and end-to-end latency remains below 100ms throughout the transition.
Low-Latency Performance Under Poor Conditions
Given network latency spikes above 200ms and packet loss exceeds 5%, when the system adapts streaming parameters, then latency returns below 150ms within 4 seconds while maintaining a minimum frame rate of 15 fps.

PeekPulse Analytics

Provides detailed engagement metrics on VR tours, showing which rooms and angles buyers spend the most time exploring. Agents gain actionable insights to tailor follow-up conversations and marketing strategies.

Requirements

Room Hotspot Tracking
"As an agent, I want to know which rooms prospective buyers spend the most time in so that I can tailor my follow-up discussions to their interests."
Description

Automatically track and record the number of buyer visits and cumulative time spent in each room during VR tours, enabling agents to identify the most and least engaging spaces. This data is seamlessly integrated into the analytics back-end and can be accessed via the agent interface alongside other tour metrics.

Acceptance Criteria
Track Room Visits During Live VR Tour
Given a buyer is participating in a VR tour When the buyer enters a predefined room hotspot Then the system shall increment that room’s visit count by one
Record Cumulative Time Spent Per Room
Given a buyer is in a room hotspot When the buyer exits the hotspot Then the system shall calculate the time spent in that room and add it to the room’s cumulative time metric
Display Hotspot Data in Agent Interface
Given tour data is available in the analytics dashboard When an agent views a specific tour report Then the interface shall display each room’s total visits and cumulative time spent alongside tour metrics
Sync Room Engagement Data to Analytics Backend
Given a VR tour session ends When tour engagement data is finalized Then the system shall seamlessly transmit visit counts and time metrics for each room to the analytics backend without errors
Handle Interrupted or Paused VR Sessions
Given a buyer pauses or disconnects from a VR tour When the buyer resumes or ends the session Then the system shall accurately continue tracking time and visits without duplicating or losing data
Engagement Heatmap Generation
"As an agent, I want a visual heatmap showing buyer engagement on room layouts so that I can quickly identify areas of interest."
Description

Generate a visual heatmap overlay on property floor plans and 3D tour environments, highlighting areas with the highest buyer engagement. This feature enhances data interpretation by providing an intuitive visual representation of buyer behavior within the VR tour interface.

Acceptance Criteria
Heatmap Overlay Loading on VR Tour
Given an agent is viewing a property VR tour, when they toggle the heatmap overlay on, then the overlay must appear within 2 seconds, accurately aligned with the 3D environment and highlighting the top three engagement hotspots in red, yellow, and green respectively based on predefined thresholds.
Interactive Engagement Heatmap on Floor Plan
Given an agent is viewing a property floor plan, when they select the heatmap view, then the system must render clickable engagement hotspots on the floor plan, and hovering over each hotspot must display a tooltip with average view time and number of engagements for that area.
Dynamic Color Scaling Based on Engagement
Given the engagement data for the VR tour, when the heatmap is generated, then areas with average view time above 60 seconds must be colored red, areas between 30 and 60 seconds colored yellow, and areas below 30 seconds colored green, and a legend explaining this scale must be visible.
Responsive Heatmap Rendering on Mobile Devices
Given an agent accesses the VR tour on a mobile device (iOS or Android), when they enable the heatmap, then the overlay must render correctly within 3 seconds, remain fully interactive, and maintain legibility without any overlapping UI elements or distortion.
Performance Under Large Data Sets
Given a tour with up to 100,000 engagement data points, when the agent activates the heatmap, then the system must load and display the heatmap in under 5 seconds without crashes or significant lag, and memory usage must remain within acceptable limits.
Time-on-Angle Metric
"As an agent, I want to see which camera angles users linger on so that I can optimize future VR tours for maximum impact."
Description

Measure and report the duration buyers spend viewing each camera angle or vantage point within a room during VR tours. Integrate this metric into the analytics module to help agents determine which perspectives resonate most with potential buyers.

Acceptance Criteria
Duration Tracking for Single Angle View
Given a buyer views a specific camera angle during a VR tour, When the view duration exceeds zero seconds, Then the system logs the angle ID, start and end timestamps, and calculates the total duration in seconds.
Accurate Aggregation Across Sessions
Given a buyer views the same camera angle in multiple VR sessions, When aggregating session data, Then the total time-on-angle equals the sum of individual session durations.
Visualization in Analytics Dashboard
Given completion of a VR tour, When an agent accesses PeekPulse Analytics, Then the dashboard displays time-on-angle metrics for each vantage point in a sortable table and interactive chart.
Threshold Alert for High Engagement
Given a buyer spends more than 60 seconds on any camera angle during a VR tour, Then the analytics dashboard highlights the angle entry and marks it with a 'High Engagement' label.
Data Export for Angle Durations
Given an agent exports VR analytics as CSV, When downloading the file, Then each record includes angle ID, room ID, and total view duration in seconds.
Customizable Analytics Dashboard
"As a broker, I want to customize analytics dashboard filters so that I can focus on metrics relevant to specific listings and client segments."
Description

Provide an analytics dashboard with filters for date range, property type, buyer demographics, and tour sessions. Allow agents to customize views, save filter presets, and compare metrics across multiple properties to facilitate targeted marketing strategies.

Acceptance Criteria
Filter Tours by Date Range
Given the agent opens the analytics dashboard When the agent selects a start and end date and clicks “Apply Filters” Then only tour sessions within the selected date range are displayed And the total number of sessions and engagement metrics reflect only those dates
Filter Tours by Property Type
Given the agent has multiple property types listed When the agent selects one or more property types from the filter menu and applies the filter Then the dashboard refreshes to show metrics exclusively for the chosen property types And the displayed session counts and engagement heatmaps update accordingly
Filter Tours by Buyer Demographics
Given demographic categories (age group, location, income) are available When the agent selects demographic filters and applies them Then the dashboard shows metrics only for tours conducted by buyers matching those demographics And percentage breakdowns accurately reflect the selected demographic segments
Save Custom Filter Preset
Given the agent has applied a set of filters When the agent clicks “Save Preset” and provides a preset name Then the preset is saved to the agent’s profile And the agent can select the preset from a list to reapply the same filters instantly
Compare Metrics Across Multiple Properties
Given the agent selects two or more properties for comparison When the agent initiates the compare function Then a side-by-side view of key engagement metrics (session count, average time per room, top-viewed angles) is displayed And each metric clearly labels which property it corresponds to
Exportable Insights Reports
"As an agent, I want to export engagement reports so that I can share actionable insights with clients and stakeholders."
Description

Enable agents to export engagement metrics and visualizations (heatmaps, room visit summaries, angle metrics) in PDF and CSV formats. Reports can be branded with agency logos and shared directly with sellers or stakeholders via email.

Acceptance Criteria
PDF Report Generation
Given an agent selects 'Export as PDF' on a listing insights page, when the export is initiated, then the system generates a PDF containing heatmaps, room visit summaries, angle engagement metrics, and the agency logo, formatted consistently, named with listing ID and date, and downloaded within 10 seconds.
CSV Data Export
Given an agent clicks 'Export as CSV' on the insights page, when the export is initiated, then the system provides a CSV file with columns for room name, total visit count, average view duration, angle metrics, and timestamped entries, and the download starts automatically.
Custom Date Range Selection
Given an agent selects a custom date range prior to export, when they initiate an export in PDF or CSV format, then the generated report includes only engagement data within the specified date range.
Bulk Export of Multiple Listings
Given an agent selects multiple listings and chooses export format, when they start the export process, then the system generates a ZIP archive containing individual reports (PDF or CSV) for each listing, all files correctly named and compressed, and downloads the archive.
Direct Email Sharing of Reports
Given an agent opts to 'Share via Email' after generating a report, when they enter recipient email addresses and send, then the system attaches the report, populates the email with customizable subject and body, sends to all recipients, and displays a success confirmation to the agent.

AI VoiceNarrator

Integrates AI-driven voice narration into the VR preview, offering an automated, guided tour that highlights key property selling points. Buyers enjoy a seamless, informative experience even without agent presence.

Requirements

Voice Narration Activation
"As a buyer using the VR preview, I want a simple way to start and pause the AI narration so that I can control the tour pace and revisit details at my convenience."
Description

Enable users to start, pause, and resume AI-driven voice narration seamlessly within the VR property preview. This requirement ensures the narration can be initiated with a single tap or voice command, integrates with the existing VR interface, and provides visual cues to indicate narration status. The implementation will include responsive controls, error handling for connectivity issues, and synchronization with VR scene loading to deliver an uninterrupted guided tour experience.

Acceptance Criteria
Start Narration via Tap
Given the VR preview is loaded and narration is inactive, when the user taps the 'Play Narration' button, then AI voice narration begins within 2 seconds and a 'Playing' icon is displayed.
Pause Narration via Voice Command
Given AI voice narration is playing, when the user says 'Pause narration', then narration pauses immediately and a 'Paused' visual cue appears.
Resume Narration after Pause
Given narration is paused, when the user taps the 'Resume' button or says 'Continue narration', then narration resumes from the paused timestamp within 2 seconds and the 'Playing' icon returns.
Handle Connectivity Loss
Given AI voice narration is in progress, when network connectivity is lost, then narration pauses, an error message 'Connection lost, retrying...' is shown, and automatic reconnection is attempted up to 3 times.
Synchronize Narration with Scene Loading
Given the VR scene transition is triggered, when the new scene is fully loaded, then AI voice narration for that scene starts within 1 second and matches the scene’s context.
Key Point Highlight Markers
"As a buyer, I want visual cues highlighting important property features during the voice tour so that I can easily identify and remember key selling points."
Description

Implement synchronized visual markers within the VR environment that appear when the AI narrator discusses key selling points. Each marker will highlight features like kitchen amenities or architectural details, pop up contextually, and fade as narration moves on. This enhances user engagement by drawing attention to critical property aspects and reinforcing the narrated information visually.

Acceptance Criteria
Marker Synchronization During Narration
Given the AI narrator mentions a feature in the VR preview, when the narration segment starts, then a visual marker appears at the feature’s location within 500ms and remains visible for the duration of that segment.
Contextual Marker Fading
Given the narration moves past a highlighted feature, when the next narration segment begins, then the previous marker fades out smoothly over 200ms before the new marker appears.
Multiple Feature Highlights
Given the narrator mentions multiple features in rapid succession, when segments overlap by less than one second, then markers transition smoothly to each feature without visual overlap.
Marker Visibility in Various Lighting
Given changes in VR environment lighting, when a marker is displayed, then it maintains at least an 80% contrast ratio with the background for readability.
Error Handling for Marker Load Failure
Given a marker asset fails to load, when the narration segment starts, then a fallback text tooltip appears at the feature location and an error is logged for developers.
Multilingual Support
"As an international buyer, I want to listen to the property tour in my native language so that I fully understand the details without language barriers."
Description

Provide AI narration in multiple languages to cater to diverse buyer audiences. This includes integrating language detection, offering translation for narration scripts, and allowing users to switch languages within the VR interface. The solution will leverage the existing AI translation engine, ensure pronunciation accuracy, and maintain consistent tone across languages.

Acceptance Criteria
Default Language Detection
Given a buyer launches the VR preview for the first time and their device locale is set to Spanish When the VR experience starts Then the AI VoiceNarrator narration is delivered in Spanish by default
Language Switching in VR Interface
Given a buyer is in the VR preview narration in English When the buyer selects French from the language menu Then the narration immediately switches to French with matching translated script
Pronunciation Accuracy Check
Given the AI translation engine provides a translated script When the AI VoiceNarrator narrates the translation Then each property feature name is pronounced correctly with a confidence score of at least 95%
Tone Consistency Across Languages
Given the original English narration script conveys an enthusiastic but professional tone When the script is translated and narrated in German and Mandarin Then the tone in both languages matches the original tone guidelines within a predefined stylistic variance threshold
Performance and Responsiveness
Given a buyer switches languages and loads a VR tour of a high-resolution property model When the narration audio streams in the newly selected language Then the switch occurs within 1 second without noticeable lag or audio artifacts
Customizable Voice Profiles
"As an agent, I want to choose a voice profile that reflects my personal or agency brand so that the VR tour feels cohesive with my marketing style."
Description

Allow agents to select from multiple AI voice profiles, including gender, tone, and pace options, to match their branding or personal preference. Profiles will be previewable before selecting, stored per listing, and applied automatically when the VR preview loads. This customization enhances the professional feel of the tour and aligns with agent branding guidelines.

Acceptance Criteria
Voice Profile Selection
Given the agent is on the listing’s voice profile settings page When the agent opens the voice profile dropdown Then all available voice profiles are displayed with name, gender, tone, and pace options
Voice Profile Preview
Given the agent has expanded a voice profile option When the agent clicks the “Preview” button for a profile Then the system plays a 10-second audio sample using the selected voice profile And the agent can pause, replay, or stop the preview without errors
Automatic Voice Application in VR Preview
Given the agent has selected and saved a voice profile for a listing When a buyer launches the VR preview for that listing Then the narration automatically uses the saved voice profile without requiring manual re-selection
Voice Profile Persistence
Given the agent navigates away from and then returns to the listing’s settings When the agent reopens the voice profile configuration Then the previously selected voice profile is pre-selected and displayed as the current choice
Profile Metadata Storage
Given the agent has saved a voice profile selection When the system stores the listing settings Then the voice profile’s metadata (profile ID, name, tone, pace) is saved in the listing record And an API response confirms successful storage (HTTP 200 with confirmation payload)
Engagement Analytics Tracking
"As an agent, I want to see how buyers engage with the voice-guided tour so that I can identify which property features resonate most and optimize future presentations."
Description

Capture and report metrics on user interaction with the narrated VR tours, including listening duration, pause/resume events, and sections with the highest engagement. Data will be stored in the analytics dashboard, integrated with existing buyer feedback reports, and provide actionable insights for agents to refine property presentations.

Acceptance Criteria
Listening Duration Capture
Given a buyer starts a VR tour with voice narration, when the tour ends or is exited, then the system records the total listening duration and displays it in the analytics dashboard with a timestamp.
Pause and Resume Event Logging
Given a buyer pauses or resumes the narration during a VR tour, when the pause or resume action occurs, then the system logs the event with the corresponding section identifier and timestamp in the analytics database.
High Engagement Section Identification
Given a completed VR tour session, when analyzing the listening data, then the system identifies and flags the top three sections with the longest average listening times and marks them for agent review in the dashboard.
Analytics Dashboard Integration
Given analytics data is available, when an agent opens the analytics dashboard, then they can view listening duration, pause/resume events, and high engagement sections for each narrated VR tour alongside existing buyer feedback.
Buyer Feedback Correlation
Given a narrated VR tour session, when buyer feedback is submitted, then the system correlates the feedback responses with the engagement metrics (listening duration and pauses) and displays combined insights to the agent.

GroupTour Mode

Allows multiple users to join the same VR QuickPeek session simultaneously. Ideal for family members or co-buyers to tour together, discuss observations live, and make collective decisions remotely.

Requirements

Multi-Participant Session Sync
"As a co-buyer, I want to join a virtual tour with my family so that we can view the property together and make decisions collaboratively from different locations."
Description

This requirement ensures multiple users can join the same VR QuickPeek session, synchronizing views, camera positions, and navigation states in real time. It improves collaboration by providing a shared visual experience where all participants see identical tour progress and interact with the property simultaneously.

Acceptance Criteria
Session Initiation and Participant Joining
Given a host starts a VR QuickPeek session and sends invitations, When an invited participant accepts within 2 minutes, Then the participant joins the session and their view matches the host’s initial camera orientation and position.
Real-Time Camera Movement Synchronization
Given multiple participants are in the session, When any participant moves or rotates their camera, Then all other participants’ views update to match the exact camera position and orientation within 200 milliseconds.
Navigation State Consistency Across Participants
Given participants are touring the property, When any participant teleports or navigates to a new room, Then all participants’ views transition to the same room and position within 200 milliseconds.
Late Participant Synchronization
Given a session is in progress, When a new participant joins mid-tour, Then the system synchronizes their view to the current session’s camera orientation, position, and room state immediately upon join.
Network Interruption and Resynchronization
Given a participant experiences a network drop of up to 30 seconds, When the connection is restored, Then the participant’s view automatically realigns to the live session’s current camera orientation, position, and navigation state within 5 seconds.
Integrated Voice and Text Communication
"As a buyer, I want to talk and chat with my agent and co-buyers during the virtual tour so that we can discuss features instantly without switching apps."
Description

This requirement integrates real-time voice and text chat within the GroupTour mode, allowing participants to discuss observations without external tools. It enhances user engagement by facilitating immediate feedback and questions during the tour, streamlining communication within the platform.

Acceptance Criteria
Initiate Voice Chat
Given a GroupTour session is active When a participant taps the “Start Voice Chat” button Then all participants receive a prompt to join voice chat and audio transmission begins within 3 seconds
Send Text Message
Given a GroupTour session is active When a participant sends a text message Then the message appears in the chat window of all participants within 1 second
Audio Quality Consistency
Given multiple participants are speaking Simultaneously When the voice chat is active Then the audio streams remain synchronized with less than 150 ms latency and no more than 2% packet loss
Participant Mute/Unmute Functionality
Given a participant is in voice chat When they tap the “Mute/Unmute” button Then their audio transmission toggles accordingly and other participants see an updated mute icon
Message Persistence Post-Tour
Given a GroupTour session has ended When participants reopen the session chat Then all sent and received messages are displayed in chronological order
Participant Role Permissions
"As an agent hosting the tour, I want to assign co-host permissions so that trusted participants can guide the tour and manage session controls effectively."
Description

This requirement defines and enforces user roles such as host, co-host, and viewer, controlling permissions like muting, kicking, and granting control of the tour. It ensures session integrity and provides hosts with management tools to moderate participants and maintain an orderly experience.

Acceptance Criteria
Host mutes a participant
Given a host in an active GroupTour session, when the host selects the mute button for a participant, then the participant's audio is disabled and all other participants receive a notification indicating the participant has been muted.
Host kicks out a participant
Given a host in an active GroupTour session, when the host clicks the remove participant option for a specific user, then that user is immediately removed from the session and cannot rejoin without a new invitation, and remaining participants see an alert indicating the removal.
Co-host assigns control to a participant
Given a co-host in an active GroupTour session, when the co-host grants control permission to a viewer, then the viewer gains navigation controls for the VR tour and the system logs the permission change.
Viewer attempts restricted action
Given a viewer without co-host privileges, when the viewer tries to mute or remove another participant, then the system blocks the action and displays an error message indicating insufficient permissions.
Concurrent co-host management
Given two co-hosts in the same GroupTour session, when both co-hosts attempt to mute or grant control to different participants simultaneously, then both actions are processed without conflict and the participant states reflect both changes.
Shared Annotation and Highlighting
"As a buyer, I want to mark and highlight rooms during the tour so that I can easily reference my favorite areas and share notes with my co-buyers."
Description

This requirement enables participants to draw annotations, place markers, and highlight areas of interest within the VR environment. It fosters collaborative discussion by allowing users to visually point out and save property features for later review and reference.

Acceptance Criteria
Launching Group Annotation Session
Given a GroupTour Mode VR QuickPeek session with shared annotation enabled When the host clicks the 'Start Annotation' button Then the annotation toolbar appears for all participants within 2 seconds
Real-Time Annotation Synchronization
Given participant A draws an annotation on a property feature When participant A completes the drawing Then all other participants see the annotation appear in the exact same position and color within 1 second
Annotation Persistence Across Sessions
Given a group tour session ended with annotations saved When any participant reopens the same session within 24 hours Then all previously saved annotations are loaded, visible, and editable for every participant
Highlight Tool Functionality
Given a user selects the highlight tool and marks an area of interest When the user chooses a color and applies the highlight Then the marked area is highlighted with the chosen color and thickness for all participants immediately
Access Control for Annotations
Given the host toggles annotation permissions off for a participant When that participant attempts to draw or place a marker Then the annotation tool is disabled for that participant and a 'Permission Denied' message is displayed
Session Recording and Export
"As a buyer, I want to record the group tour so that I can review the property details later and share the session with my partner who couldn’t join."
Description

This requirement allows users to record group tours, including video, audio, and annotations, and export the session for replay or sharing. It provides a reference tool for participants who want to revisit the tour and share it with stakeholders who could not attend live.

Acceptance Criteria
Initiating Group Tour Recording
Given agents and participants are in a VR group tour, when the host clicks "Start Recording", then video, audio, and annotations begin capturing for all participants within 2 seconds.
Pausing and Resuming Recording
Given an ongoing recording, when the host pauses recording, then recording stops capturing new data immediately and resumes capturing without data loss when the host clicks "Resume Recording".
Saving Recording Locally
Given a completed group tour session, when the host stops recording, then a video file in MP4 format and an annotations file in JSON format are generated and saved to the host’s specified folder within 10 seconds.
Exporting Recording to Shareable Link
Given a saved session recording, when the host selects "Export" and chooses "Share Link", then the system generates a unique, secure URL providing access to the recording within 5 seconds and copies it to the clipboard.
Recording Playback With Annotations
Given any exported session, when participants play back the recording, then video and audio play synchronously, and annotations appear at the exact timestamps they were created.
Handling Network Disruption During Recording
Given a network interruption occurs during recording, when the connection is lost and then restored, then the system buffers and merges data so that the final recording has no gaps or corruption.

SocialShare Snippets

Automatically generates short video clips from the VR preview, optimized for social media platforms. Agents can effortlessly share engaging property highlights to expand reach and attract more remote buyers.

Requirements

Snippet Auto-Generation
"As an agent, I want the system to automatically generate short video highlights from the VR preview so that I can quickly share engaging property clips without spending time on manual editing."
Description

Automatically identifies key highlights from the VR property preview and generates 15–30 second video snippets optimized for social media sharing. Ensures clips are engaging and showcase property features effectively without manual editing. Integrates with the VR module to pull high-quality footage and applies automated cutting and stitching transitions.

Acceptance Criteria
Agent Initiates Snippet Generation
Given the agent is viewing a VR property preview When they click 'Generate Snippet' Then the system automatically identifies key highlights and starts generating a snippet.
Automatic Highlight Extraction
Given the system processes the VR preview When snippet generation completes Then the output video is 15–30 seconds long, includes at least five key highlights, and features smooth transitions between clips.
Snippet Preview and Approval
Given a snippet has been generated When the agent previews it Then the platform displays playback controls and options to approve or regenerate the snippet.
Optimized Format Verification
Given the snippet is approved When exporting the video Then it is encoded in MP4, supports resolutions of 1080×1080 or 1920×1080, and the file size does not exceed 20 MB.
Social Share Integration
Given the snippet is approved When the agent selects 'Share to Social Media' Then the system posts or provides share links for Facebook, Instagram, and Twitter with auto-generated descriptions and tags within five seconds.
Platform-Specific Formatting
"As an agent, I want each video snippet to be formatted for different social platforms so that my posts always meet platform specifications and look professional."
Description

Applies optimal aspect ratios, resolutions, and encoding presets tailored to each major social platform (Instagram, TikTok, Facebook, LinkedIn). Ensures snippets meet platform requirements for format and length and automatically adds metadata tags. Integrates with the export pipeline to adjust video settings in real time.

Acceptance Criteria
Instagram Story Export
Given an agent selects Instagram Story format when exporting a snippet then the video is 1080x1920 resolution, MP4 encoded with H.264 codec, and duration does not exceed 15 seconds
TikTok Feed Upload
Given an agent chooses TikTok Feed format when exporting a snippet then the video is 1080x1920 resolution, MOV or MP4 container with HEVC codec, and duration is between 3 and 60 seconds
Facebook Newsfeed Clip
Given an agent selects Facebook Newsfeed format when exporting a snippet then the video is 1200x628 resolution, MP4 encoded with AAC audio, and duration does not exceed 60 seconds
LinkedIn Post Formatting
Given an agent selects LinkedIn Post format when exporting a snippet then the video is 1080x1080 resolution, MP4 H.264 encoded, and duration does not exceed 30 seconds
Real-time Format Adjustment
Given a snippet is added to the export pipeline when platform settings change then the system adjusts aspect ratio, resolution, and encoding presets in under 2 seconds without manual intervention
Automatic Metadata Tagging
Given a snippet is exported then the system automatically adds platform-specific metadata tags (e.g., #RealEstate, #OpenHouse) and validates tags against platform guidelines
Custom Branding Overlays
"As an agent, I want to add my logo and branded text overlays to the video snippets so that my personal brand remains visible in my social media posts."
Description

Allows agents to customize snippets with branded overlays, including logos, watermarks, text captions, and color themes. Provides an intuitive editing interface within ShowJoy to position and style overlays. Ensures branding consistency across all generated snippets, reinforcing agent identity.

Acceptance Criteria
Agent Adds Branding Overlay
Given an agent is editing a video snippet, when they select the overlay option and upload a logo, then the logo appears on the snippet canvas at the chosen position and size without distortion.
Agent Customizes Text Caption
Given an agent is editing a snippet, when they add a text caption, then they can set font, size, color, and position, and see the styling applied in real time.
Agent Selects Color Theme
Given an agent is customizing overlays, when they choose a color theme from the palette, then all overlay elements update to reflect the selected theme’s color values immediately.
Preview Branded Snippet
Given an agent has applied overlays, when they click preview, then the snippet plays with all overlays displayed correctly at the chosen positions, sizes, and styles.
Export Branded Snippet
Given an agent finalizes the snippet, when they export or share, then the generated video includes all applied overlays in high resolution and retains branding settings.
Scheduled Social Posting
"As an agent, I want to schedule my property highlight snippets to post automatically so that I can maintain consistent social media activity without manual intervention."
Description

Integrates with social media APIs to allow agents to schedule automatic posting of generated snippets at desired times. Supports authentication with multiple social accounts, time zone selection, and recurring posts. Ensures posts are queued and published reliably, with error handling and retry mechanisms.

Acceptance Criteria
Scheduling a Snippet Post
Given an agent has generated a video snippet and selected a future date and time for posting When the agent confirms the schedule Then the system queues the post with the correct publish datetime in the agent’s local time zone And the queued post appears in the 'Scheduled Posts' list with status 'Scheduled'
Authenticating Multiple Social Accounts
Given an agent is on the Social Accounts page When the agent connects both Facebook and LinkedIn via OAuth Then both accounts are displayed as 'Connected' with valid access tokens stored securely And the system does not allow duplicate connections for the same account
Selecting Time Zone for Scheduled Posts
Given an agent is scheduling a post When the agent selects their preferred time zone from the dropdown (e.g., PST, EST, UTC) Then the scheduled publish datetime updates to reflect the selected time zone And the system stores the publish datetime in UTC in the backend while displaying it in the chosen time zone
Handling Post Failures and Retries
Given a scheduled post fails to publish due to a transient network error When the system attempts to publish the post Then it retries up to 3 times at 5-minute intervals And if all retries fail, the post status updates to 'Failed' And the agent receives an in-app notification detailing the failure reason
Setting Recurring Snippet Posts
Given an agent wants to post a snippet on a recurring schedule When the agent configures the post to repeat weekly on Mondays at 09:00 AM and sets an end date of 4 weeks Then the system creates 4 scheduled entries in the queue, each set for the correct Monday at 09:00 AM in the agent’s time zone And the recurrence details are displayed in the 'Scheduled Posts' list under the original snippet
Multi-Platform Export & Download
"As an agent, I want to download video snippets in different file formats so that I can share them on platforms or with clients that require manual uploads."
Description

Provides one-click export of video snippets in various formats for direct download or manual upload. Supports MP4, MOV, and GIF outputs, with adjustable quality settings. Integrates with cloud storage services to save exported files for backup and team sharing.

Acceptance Criteria
Direct Download Format Selection
Given an agent is on the snippet export screen and selects MP4 format, When they click the Export button, Then the browser automatically starts downloading a file named "<listing_id>_snippet.mp4" that is playable without decoding errors.
Quality Settings Application
Given an agent adjusts the export quality setting to "High", When they export a video snippet in MOV format, Then the downloaded file is in MOV container with 1080p resolution and a bitrate matching the high quality profile.
GIF Export Validation
Given an agent chooses GIF as the output format and sets the duration to 10 seconds, When they export the snippet, Then the downloaded file is a looping GIF of exactly 10 seconds, optimized under 5MB, and displays smoothly in standard image viewers.
Cloud Storage Service Integration
Given an agent has connected their Dropbox account and selected a destination folder, When they export a snippet, Then the file is uploaded to the chosen Dropbox folder within 15 seconds, and the UI shows a success message with a direct link.
Download Progress and Confirmation
Given an agent initiates the export process, When the export begins, Then a real-time progress bar displays percentage complete and, upon completion, a confirmation toast appears with a "View File" link.
Engagement Analytics Dashboard
"As an agent, I want to see analytics on how my shared video snippets perform so that I can understand which content drives engagement and optimize future posts."
Description

Tracks performance of shared snippets by capturing view counts, engagement rates (likes, comments, shares), and click-throughs on CTAs. Aggregates data in a dashboard within ShowJoy, providing visual reports and recommendations on best-performing content. Enables agents to refine their social strategy based on real data.

Acceptance Criteria
Snippet View Count Tracking
Given an agent has shared a social snippet, When a buyer views the snippet, Then the system increments the view count by one and displays the updated count on the dashboard in real time.
Engagement Rate Calculation
Given view count, likes, comments, and shares, When any of these metrics update, Then the system calculates the engagement rate as (likes + comments + shares) / views * 100% and updates the dashboard metric within one minute.
CTA Click-Through Monitoring
Given a call-to-action button in a snippet, When a buyer clicks the CTA, Then the system logs the click event with timestamp and user ID, increments the click-through count, and reflects the total count on the dashboard within five minutes.
Visual Report Generation
Given performance metrics are available, When an agent opens the Engagement Analytics Dashboard, Then the system renders bar charts for view counts, pie charts for engagement distribution, and line graphs for click-through trends without rendering errors and with correct data mapping.
Content Recommendation Alerts
Given performance thresholds are defined, When a snippet's engagement rate drops below the threshold, Then the system generates an alert recommending optimal posting times and hashtag improvements via email and in-app notification within ten minutes.

BeatSync Edit

Automatically syncs video cuts and transitions to an upbeat, royalty-free soundtrack. Enhances viewer engagement by creating a dynamic, professional-looking reel that resonates emotionally and maintains pacing optimized for social media consumption.

Requirements

Beat Analysis Engine
"As a real estate agent, I want the system to analyze the rhythm and beats of a selected soundtrack so that my video cuts align perfectly with the music, creating a professional and engaging property reel."
Description

Automatically detect and analyze beats, tempo, and time signatures in an uploaded royalty-free soundtrack to identify optimal cut points. This engine supports multiple audio formats, integrates seamlessly with ShowJoy’s video editing workflow, and outputs precise beat markers for subsequent modules, improving pacing, consistency, and viewer engagement.

Acceptance Criteria
Single Track MP3 Beat Detection
Given an MP3 audio file is uploaded to the Beat Analysis Engine, When processing completes, Then the engine returns beat markers in JSON format with each timestamp accurate within ±50 milliseconds.
Multi-Format Audio Support
Given WAV, AAC, and FLAC audio files are uploaded, When processed, Then the engine successfully generates beat markers for each format without errors and returns a success code.
Integration with Video Editor API
Given the video editing module requests beat marker data via API, When the engine receives the request for a 3-minute track, Then it responds within 3 seconds with correct timestamp markers and HTTP 200 status.
Time Signature and Tempo Analysis
Given a soundtrack has a consistent time signature and tempo, When analyzed, Then the engine identifies the correct tempo within ±2 BPM and accurately determines the time signature with at least 98% confidence.
Noisy Audio Handling
Given an audio track with low signal-to-noise ratio is uploaded, When processed, Then the engine applies noise reduction and outputs beat markers with confidence scores, flagging any markers below 80% confidence.
Auto Cut Alignment
"As a real estate agent, I want my video segments to automatically align with the beat of my chosen soundtrack so that my reel feels dynamic and requires minimal manual adjustments."
Description

Automatically generate video cut suggestions by aligning clip start and end points to the nearest musical beat. This feature reduces manual editing time, ensures consistency across transitions, and enhances engagement by matching visual changes to audio rhythms. It integrates with existing clip selection logic and allows manual refinement.

Acceptance Criteria
Automatic Beat Detection and Cut Suggestion
Given an imported video clip and a selected soundtrack When BeatSync Edit analyzes the audio Then the system generates cut start and end suggestions aligned to the nearest musical beat within a 200ms threshold
Manual Refinement of Automated Cuts
Given automated cut suggestions When the user drags a cut point Then the system updates the cut to snap precisely to the nearest detected beat and visually indicates the beat alignment
Consistency Across Multiple Clips
Given a sequence of multiple clips When auto-cut alignment is applied Then all clip start and end points are adjusted to the nearest beats while preserving the original clip order and relative durations
Integration with Clip Selection Logic
Given a mix of selected and unselected clips When auto-cut alignment is executed Then only the user-selected clips receive beat-aligned cut suggestions and unselected clips remain unchanged
Performance Under Real-Time Editing
Given a project containing up to 10 clips and a 3-minute audio track When auto-cut alignment is triggered Then the system returns all beat-aligned suggestions within 5 seconds without UI lag
Dynamic Transition Timing
"As a real estate agent, I want transitions between video clips to occur on musical beats so that my property showcase maintains an engaging flow."
Description

Implement smart transition timing that places fades, wipes, and other effects on beat intervals and adjusts duration and style based on the energy of the soundtrack segment. This creates smooth, emotionally resonant transitions that maintain viewer attention. The module offers configurable presets for different BPM ranges.

Acceptance Criteria
Default Preset Synchronization
Given a video track and a 120 BPM soundtrack with the default preset selected, when the user applies transitions, then each transition start aligns within ±5ms of the beat grid and uses the default fade duration.
Low BPM Transition Adjustment
Given a soundtrack segment at 60 BPM, when the module processes transitions, then fade and wipe effects are spaced at every two beats, with durations adjusted to 1.5× the default for smooth pacing.
High Energy Segment Transition
Given a soundtrack segment with energy score above threshold, when transitions are applied, then quick cuts (<200ms) and dynamic wipes use high-energy styles and align with every beat.
Custom Preset Application
Given a user-defined preset for 90–100 BPM that specifies wipe style A and fade duration of 300ms, when the module applies transitions, then it uses wipe A and 300ms fades aligned to each beat.
Silent Section Handling
Given a soundtrack section with negligible beat detection for ≥5s, when transitions are scheduled, then the module falls back to a 2-second interval between transitions using a crossfade style.
Royalty-Free Track Library Integration
"As a real estate agent, I want access to a built-in soundtrack library so that I can quickly choose and apply licensed music without leaving the platform."
Description

Integrate a curated library of royalty-free soundtracks categorized by mood, tempo, and property type. Agents can browse, preview, and license tracks directly within ShowJoy, streamlining audio selection, ensuring licensing compliance, and offering a variety of music optimized for real estate videos.

Acceptance Criteria
Browsing Tracks Library
Given an agent navigates to the audio section, when the track library loads, then they see all tracks categorized by mood, tempo, and property type within 3 seconds.
Filtering Tracks
Given an agent selects mood and tempo filters, when they apply filters, then the track list updates to show only matching tracks within 2 seconds.
Previewing Track Samples
Given an agent clicks the play button on a track, when the track preview loads, then audio plays without buffering within 1 second and the agent can pause, play, and adjust volume controls.
Licensing a Track
Given an agent selects a track and clicks the license button, when they confirm the license purchase, then the track is added to their 'My Tracks' library and the licensing status updates to 'Licensed'.
Exporting Video with Licensed Track
Given an agent applies a licensed track to a video project, when they export the video, then the export completes successfully and the video metadata includes the track name and license details.
Export Preset Profiles
"As a real estate agent, I want to export my property reel with platform-specific settings so that I can publish directly without additional formatting."
Description

Provide export presets optimized for major social media platforms (Instagram, Facebook, TikTok, YouTube) with appropriate aspect ratios, resolutions, bitrates, and file formats. This ensures that generated reels are ready for direct upload, reducing post-export configuration and preserving audio-video synchronization.

Acceptance Criteria
Instagram Feed Export
Given the user selects the Instagram Feed export preset, when the export is complete then the video file must be MP4 (H.264) with AAC audio at 128 kbps; resolution 1080x1080 px; bitrate 5 Mbps; aspect ratio 1:1; and audio-video synchronization maintained within ±50 ms.
Instagram Story Export
Given the user selects the Instagram Story export preset, when the export finishes then the video file must be MP4 (H.264) with AAC audio at 128 kbps; resolution 1080x1920 px; bitrate 4 Mbps; aspect ratio 9:16; and no audio-video drift beyond ±50 ms.
TikTok Reel Export
Given the user selects the TikTok Reel export preset, when the export is generated then the video file must be MP4 (H.264) with AAC audio at 128 kbps; resolution 1080x1920 px; bitrate 6 Mbps; aspect ratio 9:16; and audio-video sync preserved within ±50 ms.
YouTube Landscape Export
Given the user selects the YouTube Landscape export preset, when the export completes then the video file must be MP4 (H.264) with AAC audio at 192 kbps; resolution 1920x1080 px; bitrate 8 Mbps; aspect ratio 16:9; and audio-video alignment within ±50 ms.
Facebook Feed Export
Given the user selects the Facebook Feed export preset, when the export is available then the video file must be MP4 (H.264) with AAC audio at 128 kbps; resolution 1200x630 px; bitrate 5 Mbps; aspect ratio 1200:630; and audio-video synchronization within ±50 ms.

Hashtag Hero

Analyzes listing location, property features, and trending topics to generate a curated set of high-impact hashtags. Boosts discoverability on platforms like Instagram and TikTok, helping agents reach a wider audience and attract more potential buyers.

Requirements

Location-Based Hashtag Generator
"As a real estate agent, I want hashtags that reflect my listing’s exact location so that potential buyers searching for properties in that area can find my listings more easily."
Description

Analyzes the geographical data of a real estate listing to extract relevant location-specific keywords (e.g., neighborhood, landmarks, city) and automatically generate high-impact hashtags that enhance local discoverability on social platforms. It integrates with the product’s mapping service for geocoding, ensures accuracy in locality references, and supports multiple language formats to cater to diverse markets.

Acceptance Criteria
Single Listing Location Analysis
Given a listing with a valid postal address, when the agent invokes the Location-Based Hashtag Generator, then the system shall extract neighborhood, city, and state information and generate at least five hashtags that include each extracted geographic term.
Landmark Proximity Detection
Given a listing located within one mile of a registered landmark, when hashtag generation is requested, then the system shall identify the nearest landmark and include it as a hashtag in the generated list.
Multi-language Support Verification
Given the user’s locale is set to a non-English language (e.g., Spanish), when generating hashtags for a listing, then the system shall output all location-based hashtags translated and formatted correctly in the selected language.
Geocoding Service Timeout Handling
Given the mapping service experiences a timeout or failure, when the system attempts to retrieve geolocation data, then it shall retry up to two additional times, fall back to cached coordinates if available, and return an informative error message if all attempts fail.
Hashtag Format and Length Compliance
Given the generated set of hashtags, when displayed to the user, then each hashtag shall begin with a single '#', contain only alphanumeric characters, have no spaces or special symbols, be between 2 and 30 characters long, and the total number of hashtags shall not exceed ten.
Property Feature Analysis Engine
"As an agent, I want hashtags that highlight my property’s standout features so that potential buyers are attracted to its unique selling points."
Description

Evaluates key attributes of a property—such as architectural style, number of bedrooms, amenities, and unique selling points—to generate descriptive and feature-focused hashtags. This module processes listing metadata in real time, prioritizes the most marketable features, and ensures that the hashtags align with industry standards and buyer interests.

Acceptance Criteria
Standard Residential Listing Evaluation
Given a property listing with metadata including architectural style, number of bedrooms, and unique selling points, when the analysis engine processes the data, then it generates at least five feature-focused hashtags that include the bedroom count, architectural style, and one unique selling point.
Luxury Property Feature Identification
Given a luxury property listing featuring high-end amenities (e.g., infinity pool, home theater), when the engine analyzes the metadata, then it identifies at least two luxury-specific features and includes them in the generated hashtags.
Incomplete Metadata Handling
Given a listing with missing or incomplete feature fields, when the analysis engine processes the data, then it flags the missing fields for agent review and applies default placeholders without system errors or crashes.
Marketability-Based Hashtag Ranking
Given multiple potential features extracted from listing metadata, when the engine assigns marketability scores, then it sorts the generated hashtags by descending score and presents the top three to the agent.
Industry Standards Compliance
Given all generated hashtags, when the engine filters the output, then each hashtag complies with platform character limits (≤30 characters), avoids banned or restricted terms, and follows hashtag syntax rules.
Trending Topic Integration
"As a marketing-savvy agent, I want to incorporate trending topics into my hashtag set so that my property posts benefit from wider social media exposure."
Description

Fetches and analyzes real-time trending topics from social media platforms (e.g., Instagram, TikTok) via public APIs, filters relevant trends based on the listing’s context, and incorporates them into the hashtag suggestions. This ensures that agents can capitalize on current social media momentum and maximize post engagement.

Acceptance Criteria
Real-Time Trend Data Retrieval
Given an agent requests trending topics for a specific listing, When the system fetches data via Instagram and TikTok public APIs, Then at least 10 trending topics with timestamps no older than 1 minute are returned within 5 seconds.
Contextual Trend Filtering
Given a list of trending topics, When the system filters by listing location, property type, and key features, Then only trends with a relevance score of 0.7 or higher are included in the output.
Hashtag Generation Integration
Given filtered trending topics, When generating hashtag suggestions, Then the system outputs 5 to 10 unique hashtags, includes the top three trends, and ensures each hashtag is alphanumeric, lowercase, and ≤30 characters.
API Failure Handling
Given a failure from Instagram or TikTok APIs, When an error or timeout occurs, Then the system logs the error, retries the call up to 2 times, and falls back to the most recent cached trending topics if retries fail.
User Interface Display
Given generated hashtags for a listing, When the agent views the suggestions in the app, Then the hashtags appear within 2 seconds in a dedicated section with each hashtag accompanied by a one-tap copy button.
Multi-Platform Hashtag Optimizer
"As an agent, I want platform-optimized hashtag recommendations so that I can easily copy the best set for each social channel without manual adjustments."
Description

Adapts and formats the generated hashtags for optimal performance across different social platforms by considering platform-specific best practices—such as character limits, hashtag quantity recommendations, and popular tag variations—and provides separate optimized sets for platforms like Instagram, TikTok, and Facebook.

Acceptance Criteria
Instagram Hashtag Optimization
Given a property listing with features and location, when the agent selects Instagram optimization, then the system generates a set of no more than 30 hashtags, each no longer than 30 characters, prioritizing trending and location-based tags sorted by relevance.
TikTok Hashtag Optimization
Given a property listing, when the agent selects TikTok optimization, then the system generates a set of no more than 5 hashtags optimized for TikTok trends, ensures total character count does not exceed 100, and includes at least two trending variations specific to similar listings.
Facebook Hashtag Optimization
Given a property listing, when the agent selects Facebook optimization, then the system generates a set of no more than 3 concise hashtags, each beginning with a letter and containing no spaces, prioritized by broad audience reach and relevance to the listing location.
Comparative Hashtag Set Review
Given that optimization is complete for multiple platforms, when the agent views the comparative overview, then the system displays separate, clearly labeled hashtag sets for Instagram, TikTok, and Facebook side by side, highlighting key differences in tag count and character usage.
Hashtag Export Functionality
Given generated hashtag sets for all platforms, when the agent clicks export, then the system downloads a correctly formatted CSV file containing separate columns for platform name and its optimized hashtags, with no missing or malformed entries.
Hashtag Management Interface
"As a busy agent, I want an intuitive UI to manage and copy hashtags quickly so that I can save time when preparing social media content."
Description

Delivers a user-friendly interface within the ShowJoy app where agents can preview, select, reorder, customize, and copy hashtag sets. The interface supports bulk selection, drag-and-drop ordering, and a one-click copy-to-clipboard function, streamlining the process of integrating hashtags into social media posts.

Acceptance Criteria
Agent previews suggested hashtags for a new listing
Given an agent views a listing in the Hashtag Hero interface When the listing data is analyzed by the system Then a curated set of at least five high-impact hashtags is displayed in a preview pane
Agent selects and adds hashtags to a campaign
Given the agent sees the suggested hashtag list When the agent clicks the checkbox next to one or more hashtags Then the selected hashtags are added to the current campaign selection and highlighted
Agent reorders selected hashtags via drag-and-drop
Given the agent has multiple hashtags selected When the agent drags a hashtag to a new position in the list Then the hashtag list updates to reflect the new order and the change is saved
Agent customizes a hashtag in the list
Given the agent views the selected hashtags When the agent edits the text of a hashtag in-line Then the updated hashtag is validated (no spaces, special characters allowed) and saved in the list
Agent copies hashtag set to clipboard
Given the agent has finalized a hashtag list When the agent clicks the copy-to-clipboard button Then the entire hashtag set is copied to the device clipboard and a confirmation message appears
Hashtag Performance Analytics
"As an agent, I want to review how my hashtags performed so that I can iterate and choose more effective tags for my upcoming posts."
Description

Tracks engagement metrics—including likes, shares, comments, and reach—for each hashtag used in posts shared from ShowJoy. Provides agents with a dashboard displaying performance trends, top-performing hashtags, and actionable insights to refine future hashtag strategies and improve listing visibility.

Acceptance Criteria
View Hashtag Performance Dashboard
Given an agent has published a listing with multiple hashtags via ShowJoy When the agent navigates to the Hashtag Performance Analytics dashboard Then the dashboard displays engagement metrics (likes, shares, comments, reach) for each hashtag in a sortable table
Filter Hashtag Engagement Metrics
Given the agent is viewing the Hashtag Performance Analytics dashboard When the agent applies a date range filter or selects specific hashtags Then only metrics within the chosen range or for the selected hashtags are displayed, and the chart and table update accordingly
Identify Top-Performing Hashtags
Given the engagement data is available for all hashtags When the agent clicks on the “Top Hashtags” widget Then the system lists the top five hashtags ranked by total engagements and highlights percentage change compared to the previous period
Export Hashtag Analytics Report
Given the agent requires an offline report of hashtag performance When the agent clicks the “Export” button and selects CSV or PDF format Then the system generates and downloads a file containing hashtag names, engagement metrics, and trend summaries matching the current dashboard view
Receive Actionable Hashtag Insights
Given weekly engagement data has been collected When the scheduled report generates Then the agent receives an email with top-performing hashtags, underperforming tags flagged for review, and suggested new hashtags based on trending topics

Reaction Remix

Identifies and extracts peak buyer reaction clips from showing recordings, seamlessly weaving them into the reel. Showcases genuine excitement and testimonials to build trust, social proof, and emotional connection with prospective buyers.

Requirements

Peak Reaction Detection
"As a real estate agent, I want the platform to automatically detect and flag buyers’ moments of peak excitement in property walkthrough videos so that I can create compelling highlight reels without sifting through hours of footage."
Description

Automatically analyze showing video recordings using machine learning algorithms to identify moments of heightened buyer interest, measured through facial expressions, body language, and audio cues. This functionality integrates with the existing video processing pipeline and continuously learns from new data to improve accuracy over time. It enables agents to quickly surface genuine emotional responses without manual review, enhancing the quality of marketing materials and building trust with prospective buyers.

Acceptance Criteria
Detect Peak Facial Expressions During Video Playback
Given a recorded showing video When the peak reaction detection algorithm analyzes it Then it flags all segments where facial expression intensity exceeds 75% for at least 2 consecutive seconds
Identify Elevated Gestures and Body Language
Given a recorded showing video When the system processes body movement data Then it marks segments with gesture amplitude above the baseline threshold sustained for more than 1 second as peak reactions
Capture Audio Cues Indicating Excitement
Given the audio track of a showing recording When audio analysis is performed Then it identifies and tags segments containing laughter or raised voice where volume exceeds 65 dB
Generate Composite Highlight Reel
Given a set of tagged reaction clips When the reel generator compiles the highlights Then it produces a composite video no longer than 60 seconds containing the top 10 highest-scoring reaction clips
Continuous Learning Model Improvement
Given new labeled reaction data collected each day When the machine learning model retrains overnight Then accuracy on the validation dataset improves by at least 2% compared to the previous version
Reaction Clip Extraction
"As an agent, I want extracted reaction clips to be automatically generated and formatted so that I can seamlessly include them in my promotional reels without manual editing work."
Description

Extract short video segments corresponding to identified peak reaction moments, ensuring clips are uniformly formatted (resolution, aspect ratio, and duration) and encoded for optimal playback across mobile and web platforms. This step seamlessly ties into the storage and transcoding services, guaranteeing consistent quality and efficient retrieval for reel assembly.

Acceptance Criteria
Peak Reaction Detection During Playback
Given a recorded showing video when the reaction extraction algorithm processes the footage then it identifies and timestamps the top three highest-intensity buyer reaction peaks based on facial expression confidence scores above 0.8
Uniform Clip Formatting
Given extracted reaction segment when placing it into a clip then the clip must be exactly 5–7 seconds long, 1920×1080 resolution, 16:9 aspect ratio, and encoded using H.264 with baseline profile
Cross-Platform Encoding Compatibility
Given a formatted reaction clip when served to mobile and web clients then the clip must play without errors on iOS Safari, Android Chrome, and desktop browsers within 2 seconds of request
Automated Storage and Retrieval
Given a successfully extracted and formatted clip when the storage service API is called then the clip is saved in the designated storage bucket with metadata (clip_id, listing_id, timestamp) and retrievable via its URL within 100 ms
Extraction Failure and Retry Handling
Given a failure during extraction when the process encounters corrupted data or missing metadata then the system logs the error with a unique code, retries extraction up to three times, and alerts the admin if all retries fail
Reel Assembly Workflow
"As an agent, I want a streamlined process that assembles reaction clips into a professional marketing reel so that I can quickly share engaging property highlights with clients and prospects."
Description

Provide a one-click workflow that automatically compiles selected reaction clips into a branded highlight reel. The system applies predefined templates, transitions, overlays, and property-specific branding assets. Integration with the UI allows agents to preview the assembled reel in real time and initiate sharing through email, social media, or embedded links directly from the platform.

Acceptance Criteria
Default Reel Compilation
Given an agent clicks "Create Reel" with selected reaction clips, when the system processes the request, then it compiles the clips into a single highlight reel using the default template, transitions, overlays, and property branding, and displays a success notification.
Real-Time Preview Playback
Given an agent has a compiled reel ready, when they click "Preview", then the reel plays inline in the UI within 2 seconds, displaying all transitions, overlays, and branding as configured.
Template Selection and Application
Given an agent selects a specific template from the library before compilation, when they initiate reel assembly, then the system applies the chosen template’s predefined transitions, overlays, and branding assets correctly.
Reel Sharing via Email
Given an agent has a compiled reel, when they choose "Share via Email" and enter valid recipient addresses, then the system generates and sends an email containing the reel link within 5 seconds and shows a confirmation message.
Embedded Link Generation
Given an agent opts to generate an embed code for the reel, when they click "Get Embed Code", then the system provides a valid HTML snippet compatible with major website platforms and copies it to the clipboard automatically.
Metadata Tagging for Clips
"As a broker, I want metadata attached to each reaction clip so that I can easily filter and analyze buyer reactions by property or buyer segment for more informed marketing decisions."
Description

Automatically tag each reaction clip with relevant metadata, including property ID, clip timestamp, buyer pseudonym (when privacy allows), and a reaction intensity score. This metadata feeds into reporting dashboards, search filters, and analytics modules, enabling agents to filter reels by property, reaction level, or buyer cohort for targeted follow-ups.

Acceptance Criteria
Recording Processing Metadata Association
Given a showing recording is uploaded to Reaction Remix, when the system processes the recording, then each extracted reaction clip must include metadata fields for property ID, clip timestamp, buyer pseudonym (if privacy settings allow), and reaction intensity score.
Property ID Tag Verification in Dashboard
Given metadata has been attached to clips, when an agent views the reel in the dashboard, then the property ID must be displayed correctly for each clip and must match the original listing identifier.
Buyer Pseudonym Tagging with Privacy Compliance
Given a buyer’s privacy preferences are configured, when reaction clips are generated, then if privacy allows, clips display the buyer’s pseudonym; otherwise, clips display “Anonymous” and do not reveal personal information.
Reaction Intensity Scoring Accuracy
Given an extracted reaction clip, when the system calculates the reaction intensity score, then the score must be on a 1–5 scale, computed according to the defined algorithm, and validated against manual benchmark scores within a 0.5 margin of error.
Filter and Search by Metadata
Given a collection of reaction clips with metadata, when an agent uses the search and filter tools, then clips must be retrievable by property ID, reaction intensity range, and buyer cohort, returning relevant clips within two seconds.
User Review and Approval Interface
"As an agent, I want to review and select the best reaction clips before finalizing the reel so that I maintain quality control and brand consistency."
Description

Offer a user-friendly interface on web and mobile where agents can review, edit (trim or reorder), approve, or discard detected reaction clips before finalizing the highlight reel. The interface displays clip thumbnails, playback controls, and metadata, ensuring agents maintain full control over the final content while benefiting from automation.

Acceptance Criteria
Reviewing Detected Reaction Clips
Given an agent has uploaded showing recordings, when they open the review interface, then all detected reaction clips must display as thumbnail previews with timestamps and buyer metadata.
Trimming Reaction Clips
Given a selected reaction clip, when the agent uses the trim controls, then they must be able to adjust the start and end points accurately and preview the trimmed segment before saving changes.
Reordering Clips in the Reel
Given multiple approved clips in the draft reel, when the agent drags and drops clip thumbnails into new positions, then the reel preview must update to reflect the new sequence immediately.
Approving Finalized Reaction Reel
Given the agent is satisfied with the clips and order, when they click the ‘Approve’ button, then the reel status must change to ‘Finalized’ and become available for download or sharing.
Discarding Unwanted Clips
Given a reaction clip marked as irrelevant, when the agent clicks the ‘Discard’ icon, then the clip must be removed from the draft reel and moved to a discard list accessible via a confirmation dialog.

Caption Spark

Automatically generates concise, attention-grabbing captions and on-screen text overlays highlighting key property features and buyer sentiments. Improves accessibility, reinforces messaging, and maximizes watch-time by keeping viewers informed and engaged.

Requirements

Automatic Feature Highlighting
"As a real estate agent, I want the system to automatically highlight and caption key property features so that potential buyers immediately recognize the home’s selling points without manual editing."
Description

Automatically analyzes listing details and video content to detect and generate concise, on-screen captions spotlighting key property features (e.g., ‘Gourmet Kitchen’, ‘Panoramic View’). Integrates with the ML pipeline and video rendering engine to place captions at optimal times and positions, enhancing viewer focus, reinforcing messaging, and boosting engagement metrics.

Acceptance Criteria
Caption Generation Trigger
Given a processed listing video with metadata loaded, when the ML pipeline completes analysis, then at least three distinct feature captions are generated and queued for rendering.
Caption Positioning Accuracy
Captions must appear fully within frame boundaries and not overlap key content zones in at least 98% of test cases.
Feature Highlight Relevance
The top three generated captions must match at least 90% of the manually curated feature list as measured by word overlap.
Video Export with Captions
When exporting the final video, the system must embed captions at the correct timestamps and include a caption track compatible with MP4 players.
Real-time Preview Validation
Captions should render within 500ms of playback start with no rendering delays or overlaps in 100 consecutive preview tests.
Buyer Sentiment Captioning
"As a listing agent, I want buyer feedback to appear as engaging on-screen captions so that potential clients see authentic reactions and feel more confident in the property’s appeal."
Description

Processes one-tap mobile survey responses and buyer feedback to extract sentiment phrases (e.g., ‘Love the open floor plan’, ‘Needs more storage’) and overlays them as dynamic text callouts in the property video. This real-time sentiment integration personalizes the viewing experience and provides social proof.

Acceptance Criteria
Sentiment Caption Display during Video Playback
Given a processed property video with integrated captions, when an agent plays the video, then each sentiment phrase overlay appears at the correct timestamp corresponding to its related visual segment with no more than a 2-second deviation.
Real-time Sentiment Extraction from Survey Responses
Given a buyer submits a one-tap survey response, when the system processes the response, then it identifies and extracts the core sentiment phrase within 5 seconds and with at least 95% accuracy against a benchmark dataset.
Filtering Out Neutral or Irrelevant Phrases
Given multiple extracted phrases from buyer feedback, when the filtering logic is applied, then only phrases classified as strongly positive or strongly negative by the sentiment model are selected and neutral or off-topic comments are excluded 100% of the time.
Caption Styling Compliance
Given the dynamic text overlays, when rendered on the video, then each caption uses the approved font, size, and color, maintains a minimum contrast ratio of 4.5:1 against the background, and remains fully visible on-screen for at least 3 seconds.
Analytics Reporting of Caption Engagement
Given video playback sessions with overlay captions, when captions are displayed, then the system logs each caption’s display start time, view count, and average dwell time, and updates the engagement report within 1 minute of video completion.
Customizable Caption Templates
"As a broker, I want to choose or customize caption styles for each listing so that my video content aligns with my brand and property aesthetics."
Description

Offers a library of caption style templates (font, color, animation) that agents can select or customize per listing. Ensures brand consistency across videos and allows quick adaptation to different property types or marketing campaigns.

Acceptance Criteria
Agent selects a pre-designed caption template
Given the agent is viewing the video editor for a property listing, when they open the Caption Templates library and choose a pre-designed template, then the selected template’s font, color, and animation are applied to the video preview correctly within two seconds.
Agent customizes font and color settings for a template
Given the agent has selected a caption template, when they adjust the font type, size, or color using the customization controls and save their changes, then the preview updates to reflect the new settings and the custom template is listed under 'My Templates'.
Agent previews animated caption overlays before exporting
Given the agent has applied or customized a caption template, when they click the 'Preview Animation' button, then the system plays the video with the caption overlay animation at full resolution and without stuttering or visual artifacts.
Agent saves a new customized template for future use
Given the agent has made custom adjustments to an existing template, when they click 'Save as New Template' and provide a unique name, then the template is saved in the library under 'My Templates' with all custom settings and is available for selection in subsequent sessions.
Agent resets caption template to default settings
Given the agent is editing a caption template, when they click the 'Reset to Default' option, then all customizations revert to the original template settings and the preview updates accordingly.
Multi-language Caption Support
"As an international client, I want property captions available in my native language so that I can fully understand the home’s features and feedback without language barriers."
Description

Generates captions in multiple languages by translating auto-generated text overlays and buyer sentiments, leveraging translation APIs. Supports major languages to expand audience reach and improve inclusivity for non-English-speaking prospects.

Acceptance Criteria
Language Selection for Captions
Given an agent has uploaded a property video When the agent selects a target language from the caption options Then the system generates captions in the selected language with at least 95% translation accuracy
Batch Translation of Multiple Videos
Given the agent selects multiple listing videos in the dashboard When the agent requests translation into Spanish and Mandarin Then each video returns translated captions for both languages within 60 seconds per video
Real-Time Caption Translation During Live Showings
Given a live virtual showing session is active When a viewer switches the caption language to German Then the on-screen captions update to German within 2 seconds
Caption Export with Translation
Given the agent exports captions for offline use When translation into Japanese is enabled Then the exported SRT file contains Japanese captions with timestamps matching the video within 100ms
Fallback to Original Language on API Failure
Given the translation API returns an error When captions are generated Then the system defaults to English captions and displays a ‘Translation unavailable, showing English captions’ notification
Accessibility Compliant Captions
"As a visually impaired viewer, I want captions that meet accessibility standards so that I can consume property videos with clarity and confidence."
Description

Ensures all on-screen text overlays conform to ADA and WCAG guidelines, including readable font sizes, color contrast ratios, and SRT export options. Enables closed-caption viewers to access property information effectively.

Acceptance Criteria
Readable Font Sizes
All generated captions must use a minimum font size of 24px on desktop displays and 16px on mobile devices to ensure legibility.
Color Contrast Compliance
Caption text and background overlays must meet a minimum contrast ratio of 4.5:1 in accordance with WCAG AA standards across all property videos.
SRT Export Functionality
Agents can export captions as an SRT file, and the downloaded file follows the standard SRT format with accurate timestamps and text.
Caption Position Stability
When captions are overlaid on video, text remains within the safe title area (center third of the video) and does not overlap critical video content.
Screen Reader Compatibility
Exported SRT files and on-screen caption data are accessible via screen readers (e.g., VoiceOver, NVDA), with text read in the correct sequence and without missing content.

Smart Thumbnail

Selects and frames a high-impact still image from the video as the thumbnail, based on visual interest and viewer engagement predictions. Increases click-through rates and social reach by presenting the most compelling snapshot of the property.

Requirements

Auto Thumbnail Analysis
"As a listing agent, I want the platform to automatically analyze my listing videos and identify the best thumbnail candidates so that I can quickly showcase the property’s most appealing view without manual sifting."
Description

The system automatically analyzes video content to identify candidate frames with high visual appeal, leveraging computer vision algorithms to assess factors like composition, brightness, and focal points. By integrating advanced image processing pipelines, this requirement ensures the most attractive stills are considered for thumbnail selection, reducing manual effort and enhancing click-through rates.

Acceptance Criteria
Frame Candidate Extraction
Given a new property video is uploaded, when the Auto Thumbnail Analysis triggers, then the system must extract at least one frame per second and identify a minimum of 50 candidate frames for evaluation.
Composition Quality Assessment
Given the set of candidate frames, when composition analysis runs, then the system must score each frame on rule-of-thirds alignment and edge balance, assigning a composition score between 0 and 100.
Brightness and Contrast Evaluation
Given each candidate frame, when brightness and contrast metrics are computed, then frames with average brightness outside 40–60% range or contrast below 30% should be flagged for exclusion.
Focal Point Detection
Given the filtered frames, when focal point detection runs, then at least three dominant points of interest must be identified per frame using object and feature recognition algorithms with 95% confidence.
Candidate Ranking and Selection
Given all quality-assured frames, when the ranking algorithm executes, then the system must rank frames by aggregate visual appeal score and automatically select the top 3 frames for human review, returning results within 30 seconds.
Engagement Prediction Model
"As a marketing manager, I want the system to predict which thumbnails will drive the most views so that I can maximize engagement on property listings."
Description

Implement a machine learning model that predicts viewer engagement scores for each candidate thumbnail based on historical click-through data and visual features. This model integrates with the analytics backend to continuously learn from real-world performance and improve future thumbnail recommendations, boosting social reach and overall platform effectiveness.

Acceptance Criteria
Thumbnail Selection for New Property Listing
Given a new property video with at least 10 candidate frames When the engagement prediction model processes the video Then it returns engagement scores for each frame in JSON format within 3 seconds
Model Continuous Learning from Engagement Data
Given a new batch of real-world click-through data When the model retrains overnight Then it demonstrates at least a 10% improvement in prediction accuracy measured on a validation set
Integration with Analytics Backend
Given predicted engagement scores When the analytics backend receives the results Then it stores each score in the database with correct video ID and timestamp within 2 seconds
Thumbnail Recommendation Display
Given a list of engagement scores for candidate thumbnails When the user accesses the thumbnail selection interface Then thumbnails are displayed in descending order of their predicted engagement score
Performance Under Concurrent Load
When 100 video uploads are processed concurrently Then the model returns engagement predictions for all uploads within an average of 5 seconds per video
Thumbnail Selection Workflow
"As a backend engineer, I want a streamlined workflow that applies the selected thumbnail to all listing outputs so that updates are consistent and require minimal manual intervention."
Description

Design an end-to-end workflow that automates the selection and application of the top-ranked thumbnail to listing pages and social posts. This feature seamlessly updates the chosen frame in both web and mobile interfaces, ensuring consistency across channels and reducing time-to-market for new listings.

Acceptance Criteria
Video Upload Initiates Thumbnail Selection
Given an agent uploads a new property video, when the upload completes, then the system automatically extracts at least 10 still frames within 2 minutes for scoring
High-Impact Thumbnail Ranking and Selection
Given extracted frames are available, when the scoring algorithm evaluates visual interest and predicted engagement, then it ranks frames and selects the top-ranked thumbnail with a confidence score of ≥ 0.8
Listing Page Displays Selected Thumbnail
Given a top-ranked thumbnail is selected, when the listing page loads on web and mobile interfaces, then the selected thumbnail is displayed consistently across both platforms
Social Media Post Uses Updated Thumbnail
Given social media posting is enabled, when an agent shares the listing to a social channel, then the system automatically includes the latest selected thumbnail in the post metadata
Fallback Default Image on Thumbnail Generation Failure
Given thumbnail extraction or ranking fails, when the system cannot select a top-ranked frame within 5 minutes, then it applies a predefined default listing image and logs an alert to the agent dashboard
Manual Override Interface
"As an agent, I want to manually override the automatically selected thumbnail so that I can ensure my branding guidelines are met."
Description

Provide a user interface component that allows agents to review suggested thumbnails, adjust crop and framing, or select an alternate image. This UI integrates with the platform’s video editor module and includes real-time preview, ensuring agents retain control and can fine-tune presentation to match branding or style preferences.

Acceptance Criteria
Thumbnail Review and Selection
Given the agent logs into ShowJoy and uploads or selects a property video, When they navigate to the video editor module, Then the system displays at least three AI-suggested thumbnail options for review.
Crop and Framing Adjustment
Given a selected thumbnail, When the agent opens the crop and framing tool, Then they can adjust the bounding box by dragging handles or entering numeric values and see the changes reflected in the thumbnail preview.
Alternate Image Selection
Given the agent does not want any AI-suggested thumbnail, When they click 'Upload Alternate Image', Then they can browse and select an image file from their device and the system displays it as the current thumbnail candidate.
Real-time Preview Update
Given the agent is adjusting crop or selecting an alternate image, When any change is made, Then the preview panel updates within 1 second to reflect the change.
Save and Apply Custom Thumbnail
Given the agent is satisfied with the custom thumbnail, When they click 'Save', Then the system stores the customized thumbnail, applies it to the video listing, and displays a confirmation message.
A/B Testing Support
"As a product manager, I want to run A/B tests on different thumbnails so that I can select the image that yields the highest conversion rates."
Description

Enable A/B testing of multiple thumbnail options by serving different images to subsets of viewers and collecting performance metrics. This requirement connects to the feedback and analytics system, allowing the platform to determine the most effective thumbnail through controlled experiments and continuous learning.

Acceptance Criteria
Uploading Multiple Thumbnails for A/B Test
Given an agent has selected three candidate thumbnail images and clicks "Start A/B Test", When the system initiates the test, Then it should evenly distribute page views among the three variants for at least 100 impressions per variant.
Randomized Viewer Assignment
Given an active A/B test, When a viewer requests the property listing page, Then the system should randomly select and serve one of the test thumbnail variants based on the configured distribution algorithm.
Performance Metrics Collection
Given a thumbnail variant is displayed, When a viewer clicks on or hovers over the thumbnail, Then the system should record the event with timestamp, viewer ID (anonymized if necessary), and variant ID within 5 seconds.
Determining Winning Thumbnail
Given the A/B test has met the sample size threshold of 500 impressions or run for 7 days, When the test concludes, Then the system should calculate and declare the winning variant with at least 95% statistical confidence.
Reporting A/B Test Results
Given an A/B test has ended, When the agent views the test dashboard, Then the platform should display a report showing impressions, click-through rates, engagement metrics for each variant, and highlight the winning thumbnail.

Platform Optimizer

Tailors the reel’s aspect ratio, length, and file size for seamless posting across multiple social channels (Stories, Reels, TikTok, Facebook). Eliminates manual adjustments, ensuring each video meets platform best practices for maximum visibility and performance.

Requirements

Auto Aspect Ratio Adjustment
"As a real estate agent, I want my video reels automatically resized to each social platform’s recommended aspect ratio so that I can post without manual editing."
Description

Automatically detects each target social platform’s required aspect ratio and adjusts video dimensions accordingly, ensuring the reel fits without distortion or letterboxing. Integrates seamlessly into the upload workflow, preserving visual quality and maintaining platform compliance for optimal display.

Acceptance Criteria
Instagram Reels Aspect Ratio Adjustment
Given a video uploaded for Instagram Reels, when the auto-adjust feature runs, then the system resizes the video to 9:16 without distortion, letterboxing, or cropping out key content.
TikTok Video Dimension Compliance
Given a video selected for TikTok, when the upload is initiated, then the system adjusts the dimensions to 1080x1920, preserving original quality and ensuring no black bars appear.
Facebook Stories Optimal Ratio
Given a video designated for Facebook Stories, when processed by the optimizer, then the video is reformatted to 9:16 ratio, maintaining pixel clarity above 4K resolution equivalent.
Facebook Feed Auto-Resize
Given a landscape video intended for Facebook Feed, when queued for publishing, then the system converts it to 4:5 aspect ratio, ensuring all UI elements remain visible.
Unsupported Platform Aspect Ratio Fallback
Given a video targeting an unrecognized platform, when the optimizer cannot detect requirements, then it applies a default 1:1 aspect ratio and alerts the user with a warning message.
Video File Size Optimization
"As a marketing agent, I want my videos optimized for platform size limits so that I avoid upload errors and maintain visual clarity."
Description

Applies platform-specific compression profiles and codecs to reduce video file size below maximum upload limits while preserving visual clarity. Compresses and optimizes the reel during export, preventing upload failures and ensuring fast upload speeds.

Acceptance Criteria
Instagram Reel Compression
Given a 60-second 1080p reel, when exported using Video File Size Optimization, then the output file size shall be ≤15 MB, maintain 1080p resolution, and achieve a SSIM score ≥0.95 compared to the original.
TikTok Video Optimization
Given a 120-second 1080p video, when optimized for TikTok, then the exported file size shall not exceed 72 MB, include correct metadata, and upload successfully to TikTok via the platform’s API.
Facebook Story Export
Given a 20-second 720p story clip, when processed through the optimizer, then the file size shall be ≤4 MB, average bitrate ≤3 Mbps, and the video shall meet Facebook Story upload requirements.
Cross-Platform Upload Speed
Given any optimized video, when uploaded over a 5 Mbps network connection using the integrated uploader, then the upload shall complete within 30 seconds without errors.
Visual Quality Preservation
Given an original high-resolution video, when compressed by the optimization engine, then the output’s PSNR shall be ≥35 dB (or SSIM ≥0.90) to ensure minimal perceptible quality loss.
Platform-Specific Duration Trimming
"As an agent, I want videos automatically trimmed to each platform’s maximum length so that they are accepted without manual editing."
Description

Automatically trims or splits video reels to comply with each platform’s maximum length constraints without losing narrative coherence. Adjusts start and end points to fit within time limits, ensuring the message remains clear.

Acceptance Criteria
Uploaded Reel Exceeds Instagram Time Limit
Given an agent uploads a 75-second reel intended for Instagram When the platform optimizer processes the video Then the video is automatically trimmed to 60 seconds without cutting mid-sentence And the narrative coherence is preserved And a preview of the trimmed video is available for review
Splitting a Long Video for TikTok Multi-Part Story
Given an agent uploads a 95-second reel intended for TikTok When the platform optimizer processes the video Then the video is split into two clips of 60 seconds and 35 seconds respectively And each clip starts and ends at logical narrative breakpoints And the clips are named sequentially
Reel Below Maximum Length for Instagram
Given an agent uploads a 45-second reel for Instagram When the platform optimizer processes the video Then the video is not trimmed And the original length remains 45 seconds And a confirmation message indicates no trimming was necessary
Processing Multiple Platforms in Batch Upload
Given an agent selects to optimize a single reel across Instagram, TikTok, and Facebook When the optimizer processes the video Then separate versions are generated for each platform with their respective max durations (60s, 60s, 120s) And each version maintains narrative coherence And the agent can download all versions in a single archive
Preview Trimmed Video Before Publishing
Given an agent has a video trimmed to platform constraints When the preview is generated Then the agent can play back the trimmed version And verify start and end points within the narrative context And approve or request adjustments before finalizing
Multi-platform Export Workflow
"As an agent, I want to export and post my listing videos to all social channels with one click so that I save time and maintain consistency."
Description

Offers a one-click export and scheduling feature that formats and posts videos to multiple social channels using stored user credentials. Automatically fills captions, hashtags, and posting times based on each platform’s best practices.

Acceptance Criteria
One-Click Export to Multiple Channels
Given the agent has selected a completed video and stored valid credentials for Instagram, TikTok, and Facebook When the agent clicks 'Export to Channels' Then the system generates and queues platform-specific video files in the correct aspect ratios, lengths, and file sizes
Auto-Fill Captions and Hashtags
Given the agent has stored caption and hashtag templates per platform When the system formats the video for export Then captions and hashtags are populated automatically following each platform’s character limits and best-practice guidelines
Scheduled Posting at Optimal Times
Given each platform’s recommended posting time is defined in the optimizer settings When the agent confirms export Then the system schedules posts at the optimal times and displays the scheduled time for review
Successful Credential Authentication
Given valid user credentials are stored for each platform When the export process initiates authentication Then each platform returns a valid authentication token and the system proceeds to format and schedule without manual credential entry
Error Handling for Export Failures
Given a network error or invalid credential on one or more platforms When the export process fails for a platform Then the system displays a clear, platform-specific error message and logs the failure for retry without blocking successful exports to other platforms
Platform Preview & Quality Check
"As a user, I want to preview my video for each platform’s display so that I can ensure high-quality presentation before posting."
Description

Provides in-app visual previews of how the video will appear on each social platform, highlighting any cropping, black bars, or overflows. Flags potential issues and suggests adjustments before finalizing the export.

Acceptance Criteria
Instagram Reel Preview
Given a 9:16 video When user selects Instagram Reel preview Then the video displays exactly at 9:16 without cropping or black bars
TikTok Video Preview
Given a video transcoded for TikTok When user previews the video Then the full frame is shown within the preview window and any overflow content is flagged
Facebook Story Preview
Given a 1080x1920 video When user selects Facebook Story preview Then the preview reflects story dimensions and highlights any necessary padding or cropping
Platform Overflow Detection
Given any platform preview When video content exceeds platform limits Then overflow areas are flagged and an alert suggests cropping adjustments
Black Bar Identification
Given a video with letterboxing or pillarboxing When previewed Then black bars are highlighted and a suggestion to adjust the aspect ratio is provided
Video Format Template Library
"As an agent, I want to save my preferred video formatting settings as templates so that I can quickly apply them to new reels."
Description

Includes a library of customizable templates and presets for common social platform formats. Allows users to save and apply preferred settings automatically to new videos, streamlining the formatting process.

Acceptance Criteria
Applying a Standard Instagram Reel Template
Given the user has selected a video for formatting When the user chooses the Instagram Reel template from the library Then the video’s aspect ratio is set to 9:16, duration trimmed to 60 seconds maximum, and file size compressed to under 15MB And the formatted video preview matches platform specifications without manual adjustments
Saving a Custom TikTok Preset
Given the user has customized aspect ratio to 1:1, length to 30 seconds, and bitrate to 800kbps When the user saves these settings as a new template named "Square Quick" Then "Square Quick" appears in the template library with correct metadata And can be applied to future videos with identical settings
Switching Between Saved Templates
Given the user has more than one saved template When the user selects a different template from the library dropdown Then the video preview updates instantly to reflect the new template’s aspect ratio, length, and compression settings And the previous settings are replaced without residual formatting
Default Template Application on Video Upload
Given the user has set a default template When a new video file is uploaded to the platform Then the default template’s formatting is automatically applied to the video And the user is notified that the default template has been used
Template Library Accessibility and Filtering
Given the user is on the template library page with at least five templates saved When the user filters by platform or searches by name Then only templates matching the filter criteria are displayed And the library performance remains under 2 seconds load time

SmartSlot Allocator

Automatically assigns showing slots based on real-time agent availability, expertise, and current workload. By intelligently matching requests to the best-placed team member, it prevents overloading individuals, maximizes coverage, and ensures every client receives timely showings without manual juggling.

Requirements

Real-Time Availability Sync
"As an agent, I want my external calendar automatically synced so that the system always knows my current availability without manual updates."
Description

Implement seamless integration with agents’ calendar platforms (e.g., Google Calendar, Outlook) to fetch and update availability in real time. This ensures the SmartSlot Allocator has accurate data on open slots, preventing double-bookings and manual errors. The integration should support two-way syncing, handling new events, cancellations, and reschedules automatically. It should be secure, with OAuth-based authentication and robust error handling to maintain data consistency.

Acceptance Criteria
Agent Connects Calendar
Given an agent selects 'Connect Calendar' and completes the OAuth flow successfully When ShowJoy receives valid OAuth tokens Then the agent’s calendar availability is imported and displayed in the dashboard within 30 seconds, with 100% of events shown
New Event Creation Sync
Given the agent’s calendar is synced When the agent creates a new event in their connected calendar Then ShowJoy marks the corresponding time slot as unavailable within 1 minute, preventing any new showings from being scheduled during that slot
Event Reschedule Handling
Given an existing event on the agent’s calendar When the agent updates the event’s start or end time Then ShowJoy updates the availability slot in the system to reflect the new time within 1 minute
Event Cancellation Handling
Given an existing calendar event has been cancelled by the agent When the cancellation is detected via the integration Then ShowJoy frees up the corresponding time slot and makes it available for scheduling within 1 minute
OAuth Token Expiration Handling
Given the agent’s OAuth token has expired When ShowJoy attempts to sync availability Then ShowJoy detects the expired token, prompts the agent to re-authenticate, and logs an error without blocking other system functions
Sync Error Recovery and Logging
Given a transient API error occurs during sync When ShowJoy encounters a failure fetching or updating calendar data Then ShowJoy retries the operation up to 3 times with exponential backoff, logs each failure, and alerts support if all retries fail
Expertise-Based Matching
"As a broker, I want the system to match showings with the best-qualified agent so that clients see properties with the highest expertise available."
Description

Develop an algorithm to score and rank agents based on property type expertise, geographic familiarity, and past performance metrics. The system should automatically assign showings to the most suitable agent, improving client satisfaction and conversion rates. Data inputs include agent specialties, certification levels, location histories, and feedback ratings. The component should be configurable by admins to adjust weighting factors.

Acceptance Criteria
Automatic Agent Assignment for Residential Property
Given a new showing request for a residential property When the system evaluates agent profiles Then it assigns the agent with the highest combined expertise score in residential property type and geographic familiarity
Admin Configures Expertise Weighting Factors
Given an admin accesses the expertise weighting configuration panel When the admin adjusts the weighting for property type, geographic familiarity, and performance metrics Then the system saves the new weights and applies them to all new assignments within 5 minutes
Certification Level Overrides
Given two agents with equal expertise and geographic scores When the algorithm compares certification levels Then the agent with the higher certification ranking is assigned to the showing
Agent Workload Balancing
Given multiple concurrent showing requests When the allocator evaluates current agent workloads Then it distributes assignments so that no agent exceeds 5 scheduled showings per day
Feedback-Driven Performance Adjustment
Given agents have varying historical feedback ratings When the matching algorithm runs Then agents with a feedback rating below 4.0 have their assignment score reduced by 20%
Workload Balancing Module
"As an operations manager, I want the system to balance assignments across my team so that no agent is overbooked or underutilized."
Description

Create a module that monitors each agent’s current and upcoming assignments, distributing new showing requests evenly to prevent overload. The module must consider daily hour caps, minimum rest windows between showings, and agent preferences. It should provide dashboards for managers to view real-time workload distribution and reassign tasks manually if needed.

Acceptance Criteria
Balanced Assignment Distribution
Given multiple agents with active assignments, when a new showing request is submitted, then the system assigns the request to the agent with the lowest current workload, ensuring load differences between agents do not exceed one showing per day.
Daily Hour Cap Enforcement
Given an agent's daily working hours reaching the predefined cap, when a new showing request is processed, then the system must not assign additional slots to that agent and must instead reassign to the next eligible agent.
Rest Window Compliance
Given an agent has just completed a showing, when scheduling the next potential showing, then the system must enforce a minimum rest window of the configured duration before assigning the next slot to that agent.
Agent Preference Adherence
Given agents have defined preferences for locations and time blocks, when assigning new showing requests, then the system matches requests to agents whose preferences align and deprioritizes assignments that conflict with their stated preferences.
Dashboard Visualization & Manual Reassignment
Given a manager views the real-time workload dashboard, when selecting an assignment, then the manager can manually reassign the showing to any eligible agent, and the system immediately updates workload counts and notifications.
Conflict Detection & Resolution
"As an agent, I want the system to alert me of schedule conflicts and offer alternatives so that I never miss or overlap showings."
Description

Implement a conflict detection engine that identifies overlapping or back-to-back showings violating predefined buffer rules. Upon detection, the system should automatically suggest alternative slots or reassign to another qualified agent. Admins can configure buffer durations and conflict resolution strategies (e.g., auto-reassign, notify agent for manual decision).

Acceptance Criteria
Detect Overlapping Showings Violating Buffer Rules
Given an agent has two confirmed showings with less than the configured buffer duration between them When a new showing request is scheduled that conflicts with the buffer rule Then the system flags the conflict and prevents booking until resolved.
Automatic Alternative Slot Suggestion
Given a conflict is detected for a requested showing When the conflict detection engine triggers Then the system presents at least three alternative slots within the allowed time frame that satisfy agent availability, buffer rules, and expertise.
Auto-Reassign to Qualified Agent
Given a showing conflict exists and auto-reassign strategy is enabled When an alternative agent with matching availability and expertise is identified Then the system reassigns the showing automatically and notifies both agents and the client.
Manual Resolution Notification to Agent
Given a conflict is detected and auto-reassign is disabled When the system identifies a conflict Then the system sends a notification to the assigned agent with conflict details and suggested resolution options.
Admin Configures Buffer Durations
Given an admin accesses system settings When the admin updates the buffer duration values Then the system validates entries (minimum 0, maximum 120 minutes) and applies changes to all future scheduling operations.
Automated Notification Dispatch
"As a client, I want to receive automated reminders and updates so that I stay informed about my upcoming showings."
Description

Build a notification service that sends instant confirmations, reminders, and updates to agents and clients via email, SMS, and in-app messages. Notifications should include showing details, agent assignments, and rescheduling links. The service must support template customization, delivery tracking, and retry logic for failed sends.

Acceptance Criteria
Instant Confirmation After Scheduling
Given a showing is scheduled When scheduling completes Then email SMS and in-app notifications are sent instantly to both agent and client containing showing details agent assignment and any rescheduling links
Reminder Notification Before Showing
Given a showing is 24 hours away When the time threshold is reached Then reminder notifications are dispatched via email SMS and in-app message to the agent and client
Reschedule Update Notification
Given a client or agent reschedules a showing When the reschedule is confirmed Then updated notifications with new date time agent assignment and rescheduling links are sent to all participants
Custom Template Dispatch
Given administrators customize notification templates When a notification is dispatched Then the service applies the correct template and populates all dynamic fields per template configuration
Failed Delivery Retry Mechanism
Given a notification delivery failure When the initial send attempt fails Then the service retries sending up to three times with exponential backoff and logs each attempt and final result
Delivery Status Tracking
Given notifications have been sent When delivery attempts complete Then the system records delivery status timestamps and makes them available via API or dashboard

Availability Sync

Seamlessly integrates with agents’ personal and office calendars, updating availability in real time. Eliminates double-bookings and last-minute conflicts by ensuring the system always works with the latest schedule, giving managers confidence that auto-assigned showings are reliable and accurate.

Requirements

Calendar Integration Setup
"As an agent, I want to connect my personal and office calendars so that my availability is automatically updated in the showing platform."
Description

Enable agents to securely connect their personal and office calendars using OAuth-based authentication, manage permission scopes, and handle token refresh to ensure authorized access for two-way sync of availability data.

Acceptance Criteria
OAuth Authentication Flow Initialization
Given an agent initiates calendar connection from the Integration Setup page When the agent clicks "Connect Calendar" Then the system redirects to the calendar provider’s OAuth consent page And upon granting consent, the system returns the agent to ShowJoy with a success notification
Permission Scope Handling
Given the OAuth consent screen is displayed When requesting permissions Then only read/write availability scopes are requested and clearly described And the agent can accept or decline each scope
Secure Token Storage
Given successful OAuth authentication When access and refresh tokens are received Then the system encrypts tokens at rest And tokens are accessible only by authenticated backend services
Automatic Token Refresh
Given a stored refresh token When the access token expires or is within 5 minutes of expiration Then the system uses the refresh token to obtain a new access token automatically And updates the stored tokens without agent intervention
Two-Way Availability Sync
Given the agent’s calendars are connected When the agent updates availability in either their personal or office calendar Then the change is reflected in the other calendar within 5 minutes And no duplicate or conflicting entries are created
Real-Time Availability Updates
"As a manager, I want the system to update availability in real time so that auto-assigned showings reflect my latest schedule."
Description

Implement a sync engine that listens to calendar event changes via webhooks or scheduled polling, updating the system’s availability data in real time to reflect the latest agent schedule and prevent stale information.

Acceptance Criteria
New Event Creation Sync
Given an agent’s calendar is connected to ShowJoy When a new event is created in the agent’s personal or office calendar Then the system marks the corresponding time slot as unavailable within 60 seconds
Event Update Propagation
Given an existing calendar event synchronized with ShowJoy When the event’s time or duration is modified in the source calendar Then ShowJoy updates the availability slot to reflect the new time within 60 seconds
Event Deletion Reflection
Given an event previously synced to ShowJoy When the event is canceled or deleted in the source calendar Then ShowJoy marks the time slot as available again within 60 seconds
Webhook Failure Fallback
Given webhook notifications to ShowJoy fail or time out When webhook delivery is unsuccessful for over 5 minutes Then ShowJoy’s polling mechanism retrieves calendar changes and updates availability accurately within the next polling interval
Cross-Calendar Conflict Detection
Given an agent has multiple calendars connected When overlapping events exist across any connected calendars Then ShowJoy identifies the conflict, marks the overlapping time slots as unavailable, and surfaces a conflict warning to the user
Conflict Detection and Resolution
"As an agent, I want the system to detect and alert me of scheduling conflicts so that I can avoid double bookings."
Description

Develop logic to detect overlapping events across synced calendars, notify agents or automatically apply prioritization rules to resolve conflicts and prevent double-bookings before they occur.

Acceptance Criteria
OverlappingPersonalAndOfficeEvents
Given the agent has an event on their personal calendar and another on their office calendar that overlap, When the system syncs calendars, Then the system detects the overlap, logs the conflict, and notifies the agent within two minutes with details of both events.
RealTimeEventAdditionConflictDetection
Given the agent adds an external event to any synced calendar that overlaps a pre-scheduled showing, When the next sync occurs in real time, Then the system marks the overlapping showing slot as unavailable and rejects any new auto-assigned showings for that slot.
AutomaticConflictResolutionByPriority
Given two conflicting events have different predefined priority levels, When a conflict is detected, Then the system automatically cancels the lower-priority event, retains the higher-priority event, and sends a resolution confirmation to the agent.
EqualPriorityConflictUserPrompt
Given two conflicting events share the same priority level, When the system attempts to resolve the conflict, Then the system generates a prompt in the agent’s dashboard requiring manual selection of which event to keep before scheduling any new showings.
ManualOverrideConflictResolution
Given the agent has set a manual override preference for a specific conflict type, When a similar conflict arises in the future, Then the system applies the agent’s override preference automatically and logs the override action with a timestamp.
Multi-Calendar Aggregation
"As an agent, I want the system to aggregate multiple calendars so that I see a unified view of my availability."
Description

Aggregate and merge availability data from multiple connected calendars into a unified free/busy view, ensuring that agents see consolidated open slots across personal and office schedules.

Acceptance Criteria
Calendar Connection Establishment
Given the agent has connected two or more personal and office calendars, when aggregation is initiated, then the system displays a unified free/busy view that includes all events from each calendar without omissions.
Real-Time Availability Update
Given an event is created, updated, or deleted in any connected calendar, when the agent refreshes the free/busy view, then the availability status reflects the change within 60 seconds.
Conflict Resolution Across Calendars
Given overlapping events exist across multiple calendars, when the unified view is generated, then all conflicting time slots are marked as busy to prevent double-bookings.
Time Zone Consistency Handling
Given the agent’s device changes time zones, when viewing or scheduling showings in the unified view, then all event times correctly adjust to the agent’s current local time zone.
High-Volume Calendar Performance
Given the agent has at least 10 connected calendars with a combined total of over 500 events, when loading the unified free/busy view, then the system renders the complete availability in under 3 seconds.
Sync Status Monitoring and Alerts
"As an admin, I want to receive alerts when calendar sync fails so that I can take action to restore connectivity."
Description

Provide a dashboard and real-time alerts for administrators and agents when calendar sync failures or API errors occur, detailing the root cause and recommended actions to restore connectivity.

Acceptance Criteria
Calendar Sync Failure Detected
Given the system attempts a calendar sync but encounters a network error, when the failure occurs, then the dashboard displays a prominent error indicator with code 'NETWORK_FAILURE', shows a recommended action 'Check network connection and retry', and triggers an email alert to the administrator and a push notification to the agent within 5 minutes.
API Rate Limit Exceeded
Given calendar API calls exceed rate limits, when the limit is reached, then the system logs the error 'RATE_LIMIT_EXCEEDED', updates the dashboard status to 'Sync Paused', displays 'Retry after [reset_time]' guidance, and notifies the admin via SMS.
OAuth Token Expiration
Given an OAuth token used for calendar integration is expired, when the sync attempt fails with an authentication error, then the dashboard highlights 'Authentication Error', provides a link to reauthorize credentials, and sends a real-time alert email to both administrator and affected agent.
Data Mismatch During Sync
Given the sync process detects conflicting availability data between the agent’s personal and office calendars, when discrepancies arise, then the dashboard flags entries in conflict, highlights the mismatched time slots, provides a resolution workflow link, and notifies the agent in-app.
Manual Sync Intervention Requested
Given an automatic sync fails repeatedly for more than three consecutive attempts, when threshold is reached, then the dashboard shows 'Manual Sync Required', displays step-by-step intervention instructions, and sends a summary alert to the administrator by email and SMS.

Priority Shuffler

Dynamically reorders assignments by factoring in listing urgency, client priority levels, and seller preferences. High-impact showings or VIP clients are staffed first, ensuring critical opportunities receive prompt attention and helping teams close deals faster.

Requirements

Urgency Scoring Engine
"As an agent, I want listings automatically scored by urgency so that I can focus on scheduling the most time-critical showings first."
Description

Calculate a dynamic urgency score for each listing by analyzing factors such as days on market, recent price changes, seller-defined urgency levels, and activity metrics. Integrate with ShowJoy’s data layer to continuously update scores and surface the most time-sensitive showings at the top of the assignment queue.

Acceptance Criteria
New Listing Added to Platform
Given a new listing is successfully created in ShowJoy When the listing record is saved to the data layer Then the Urgency Scoring Engine must calculate an initial urgency score within 60 seconds and persist it to the listing record
Price Change Update Trigger
Given an existing listing has a price update When the updated price is ingested by the data layer Then the Urgency Scoring Engine must recalculate the urgency score within 5 minutes reflecting the new price and update the listing record accordingly
Seller-Defined Urgency Level Change
Given a seller modifies the urgency level for their listing in the user interface When the change is saved Then the Urgency Scoring Engine must recalculate the urgency score in real time and update the assignment queue with the new score
Daily Activity Metrics Update
Given daily view and inquiry metrics are aggregated at 2:00 AM When the overnight batch job runs Then the Urgency Scoring Engine must recalculate urgency scores for all active listings and log each update for auditing purposes
High Days on Market Alert
Given a listing’s days on market count exceeds 90 days When the days on market counter increments in the data layer Then the Urgency Scoring Engine must increase the urgency score by at least 10% and flag the listing as ‘stale’ in the system
Client Priority Filter
"As a team lead, I want to filter and prioritize assignments by client status so that VIP clients receive prompt, high-touch service."
Description

Enable tagging and filtering of assignments based on client priority levels (e.g., VIP, high potential, standard). Sync with CRM profiles and buyer preferences to ensure that high-value clients’ showings are automatically moved to the top of agents’ schedules.

Acceptance Criteria
VIP Client Tagging
Given an agent assigns the 'VIP' priority tag to a client profile in the system When the client is scheduled for a showing Then the assignment is filtered and displayed at the top of the agent's schedule list
High Potential Client Filtering
Given a client is tagged as 'High Potential' based on CRM data When the client requests a new showing Then the assignment appears above 'Standard' client showings in the daily view
Standard Client Assignment Visibility
Given a client without any priority tag requests a showing When the schedule filter is applied Then the assignment is correctly categorized under 'Standard' and placed below 'VIP' and 'High Potential' showings
CRM Profile Synchronization
Given client priority levels are updated in the CRM When the ShowJoy system syncs with the CRM Then all existing and new assignments inherit the updated priority tags within 5 minutes
Automatic Schedule Reordering
Given multiple client showings are scheduled for the same time slot When priorities differ Then the system automatically reorders and displays showings sorted by VIP, High Potential, then Standard
Preference-based Matching Rules
"As a seller, I want my showing preferences enforced so that showings occur only under conditions I’m comfortable with."
Description

Allow sellers to specify preferences such as preferred showing windows, agent gender, group size limits, and property condition requirements. Incorporate these rules into the shuffler algorithm to ensure that assignments comply with seller constraints and preferences.

Acceptance Criteria
Preferred Showing Window Enforcement
Given a seller has specified preferred showing windows of 9:00–12:00 and 14:00–17:00, When the Priority Shuffler schedules a showing outside these windows, Then the system must reject the assignment and notify the agent with an explanation.
Agent Gender Preference Matching
Given a seller has indicated a preference for a female agent, When the system generates assignment proposals, Then only female agents should be considered for those listings and shown in the assignment queue.
Group Size Limit Compliance
Given a seller has set a group size limit of no more than four attendees, When a buyer requests a showing with more than four people, Then the system must flag the request as non-compliant and prompt the agent to request an updated group size or decline.
Property Condition Requirement Validation
Given a seller requires that the property be in ‘move-in ready’ condition for showings, When the property’s status is not marked as such in the system, Then the Priority Shuffler should exclude it from high-priority assignments and notify the agent.
Composite Preference Prioritization
Given multiple sellers with different combinations of preferences, When the shuffler orders assignments, Then it must rank listings by urgency, then filter by all specified preferences and produce a final prioritized list that meets every seller constraint.
Real-time Shuffle Sync
"As an agent, I want to receive instant updates to my assignment list so that I can adapt to priority changes without delay."
Description

Implement real-time synchronization of assignment reordering across mobile and web platforms. Ensure that any changes in listing urgency, client priority, or cancellations are propagated instantly to all agents’ interfaces, maintaining up-to-date schedules.

Acceptance Criteria
Urgent Listing Reorder Update
Given an agent updates a listing’s urgency level on web When the urgency level changes Then the updated order is reflected on the agent’s mobile schedule within 2 seconds
VIP Client Cancellation
Given a VIP client cancels a showing from their mobile app When the cancellation is confirmed Then all affected agents see the removal in their web and mobile schedules within 1 second
Seller Preference Change
Given a seller modifies their viewing time preferences on web When preferences are saved Then all pending assignments reorder automatically on mobile and web within 3 seconds
Offline to Online Sync
Given an agent goes offline on mobile and receives assignment changes When the agent reconnects Then all missed updates apply and the schedule matches the web version without duplicates or omissions
Cross-platform Sync Consistency
Given simultaneous reorders occur on web and mobile When both platforms send updates Then final assignment order resolves consistently across devices without conflicts
Priority Insights Dashboard
"As a broker, I want a dashboard view of current showing priorities so that I can oversee my team’s workload and strategically allocate resources."
Description

Create a visual dashboard that displays key metrics such as urgency score distribution, count of VIP showings, upcoming high-priority assignments, and historical performance. Provide filtering and drill-down capabilities for team managers to monitor workload and optimize resource allocation.

Acceptance Criteria
Display Urgency Score Distribution
Given the manager accesses the Priority Insights Dashboard, when the data loads, then the dashboard displays a chart grouping listings by urgency score ranges ('High', 'Medium', 'Low') with each range showing the correct number of listings.
Show VIP Showings Count
Given the manager accesses the Priority Insights Dashboard, when the dashboard loads, then a KPI tile displays the total count of upcoming VIP showings scheduled within the next 7 days, matching the data in the assignments database.
List Upcoming High-Priority Assignments
Given the manager views the 'Upcoming Assignments' section, when the section renders, then it lists assignments sorted by urgency score descending, including columns: client name, listing address, scheduled time, and urgency score, with no missing or duplicate entries.
Filter by Date Range and Priority
Given the manager applies a date range filter and sets a minimum urgency score threshold, when the filters are applied, then the dashboard updates all charts, KPI tiles, and lists to only include assignments within the selected date range and at or above the specified urgency score.
Drill-Down into Historical Performance Metrics
Given the manager clicks on a bar in the 'Historical Performance' chart, when the drill-down action is triggered, then the system navigates to a detailed view showing metrics for each agent, including number of high-priority showings completed, average time to close, and client satisfaction ratings for the selected time period.

LoadBalancer Insights

Offers a visual dashboard displaying assignment distribution across the team, highlighting over- and under-utilized agents. Enables managers to identify workload imbalances at a glance, adjust parameters to redistribute showings fairly, and prevent burnout while maintaining optimal team productivity.

Requirements

Interactive Distribution Dashboard
"As a team manager, I want to view an interactive overview of how showings are distributed among agents so that I can quickly identify any workload imbalances."
Description

Develop an interactive visual dashboard that displays real-time assignment distribution across all agents using bar charts and heat maps. The dashboard should allow managers to filter by date ranges, property types, and agent teams. It must update dynamically as new showings are scheduled, providing an immediate overview of workload balance and enabling quick identification of disparities. Integration with the scheduling engine ensures data accuracy and seamless user experience.

Acceptance Criteria
Real-time Load Visualization for Current Day
Given the manager selects today’s date range, when a new showing is scheduled, then the bar chart updates within 5 seconds to reflect the updated assignment count per agent.
Historical Distribution Analysis
Given the manager selects a past date range (e.g., last 7 days), when the filter is applied, then the dashboard displays bars and heat map cells for each agent accurately representing all assignments during that period.
Property Type Filter Accuracy
Given the manager applies a property type filter (e.g., residential or commercial), when the filter is active, then only assignments matching the selected property type are shown in the charts and heat map.
Team-Based Workload Comparison
Given the manager selects one or multiple agent teams, when the teams filter is applied, then the dashboard groups and displays assignment distribution per team, enabling side-by-side comparison.
Heat Map Overutilization Alert
Given an agent’s daily assignment count exceeds the configured threshold, when the dashboard refreshes, then the agent’s cell in the heat map is highlighted in red to indicate overutilization.
Utilization Threshold Alerts
"As a regional manager, I want to receive notifications when an agent is over- or under-booked so that I can take action before burnout or idle time occurs."
Description

Implement a notification system that monitors agent assignment levels and triggers alerts when an agent exceeds or falls below configurable utilization thresholds. Alerts should be delivered via email and in-app notifications, detailing which agents are overbooked or underutilized and by how much. Admins can set threshold values per agent or team level to tailor alert sensitivity.

Acceptance Criteria
Agent Utilization Exceeds Maximum Threshold
Given an agent’s assignment utilization exceeds the configured maximum threshold, when the system performs its hourly evaluation, then an alert is triggered and delivered via email and in-app within 5 minutes, including agent name, current utilization percentage, and threshold value.
Agent Utilization Falls Below Minimum Threshold
Given an agent’s assignment utilization falls below the configured minimum threshold, when the system performs its hourly evaluation, then an alert is triggered and delivered via email and in-app within 5 minutes, including agent name, current utilization percentage, and threshold value.
Admin Configures Custom Thresholds
Given an admin accesses the threshold settings page, when the admin sets custom maximum and minimum utilization thresholds for an individual agent or team and saves changes, then the new threshold values are persisted and displayed correctly in the settings within 2 seconds.
Email Notification for Overutilized Agents
Given an overutilization alert is triggered, when the system sends the email, then the email is delivered successfully to all configured admin recipients, contains the correct agent details, utilization values, threshold configuration, and a timestamp, and no delivery failures are reported within 1 hour.
In-App Notification for Underutilized Agents
Given an underutilization alert is triggered, when the system sends the in-app notification, then the notification appears in the admin’s notification center with correct agent details, utilization values, threshold configuration, and actionable link to reassign showings, within 2 minutes.
Auto-Rebalance Controls
"As an office administrator, I want to automatically rebalance agent showings based on adjustable rules so that workload is distributed evenly without manual effort."
Description

Provide UI controls that allow managers to adjust balancing parameters—such as maximum showings per agent per day—and trigger an automatic reassignment of upcoming showings to achieve a more equitable distribution. The system must respect agent availability, location proximity, and skill specialization when redistributing assignments. A preview step should illustrate the proposed changes before confirmation.

Acceptance Criteria
Manager Adjusts Daily Showings Limit
Given the manager sets the maximum showings per agent per day to X, when they click 'Rebalance', then the system recalculates and redistributes upcoming showings so that no agent exceeds X assignments per day.
Preview Reassignment Changes
Given proposed reassignments are generated, when the manager opens the preview pane, then the system displays a detailed comparison of original vs new assignments including agent names, dates, and assignment counts.
Automatic Reassignment Respects Agent Availability
Given an agent is marked unavailable for specific times, when the system performs rebalancing, then no showings are assigned to that agent during their unavailable periods.
Automatic Reassignment Respects Location Proximity
Given each showing has location data, when the system rebalances assignments, then it prioritizes the nearest qualified available agent and ensures the new assignment’s travel distance does not exceed the original distance by more than 5 miles.
Confirmation of Reassignment Execution
Given the manager reviews the preview and clicks 'Confirm', when confirmation occurs, then the system updates the schedule, sends notifications to all affected agents within 1 minute, and logs the changes for audit.
Exportable Utilization Reports
"As a broker, I want to export utilization data and reports so that I can review team performance offline and share insights with stakeholders."
Description

Allow managers to export assignment distribution data and utilization summaries as CSV and PDF reports. Reports should include current state snapshots, alert logs, and any rebalancing actions taken. Export functionality should be accessible from the dashboard and support scheduled email deliveries of reports to designated stakeholders.

Acceptance Criteria
Manual CSV Export from Dashboard
Given the manager is viewing the LoadBalancer Insights dashboard When the manager clicks the 'Export CSV' button Then the system generates and downloads a CSV file named 'utilization_report_<YYYYMMDD_HHMMSS>.csv' And the CSV contains columns for agent ID, assigned showings, utilization percentage, alert status, and rebalancing actions And no data rows are truncated or formatted incorrectly
Manual PDF Export from Dashboard
Given the manager is viewing the LoadBalancer Insights dashboard When the manager clicks the 'Export PDF' button Then the system generates and downloads a PDF file named 'utilization_report_<YYYYMMDD_HHMMSS>.pdf' And the PDF mirrors the dashboard layout, including charts and tables for agent distribution, utilization rates, alert logs, and rebalancing actions
Scheduled Email Delivery
Given the manager is on the scheduled reports settings page When the manager schedules a daily report at 08:00 AM and specifies stakeholder email addresses Then the system sends an email at 08:00 AM each day with PDF and CSV attachments named 'utilization_report_<YYYYMMDD>.pdf' and '.csv' And the email subject reads 'Daily Utilization Report – <YYYY-MM-DD>' And all specified stakeholders successfully receive the attachments
Report Content Verification
Given a generated report file (CSV or PDF) When the report is opened Then it includes a 'Current State Snapshot' section with timestamp and summary metrics And it includes an 'Alert Logs' section listing each alert event with timestamp and reason And it includes a 'Rebalancing Actions' section detailing each action taken, including timestamps and affected agent IDs
Access Permissions Enforcement
Given a user without manager role is on the LoadBalancer Insights dashboard When the user attempts to access export controls or endpoint Then the system hides or disables the export UI elements And any direct API call to export returns HTTP 403 Forbidden with an appropriate error message
Historical Trend Analysis
"As a senior manager, I want to analyze historical workload trends so that I can plan team capacity and make data-driven staffing decisions."
Description

Incorporate a trend analysis module that visualizes historical assignment patterns over weeks and months. Charts should display metrics like average showings per agent, peak utilization periods, and trends in underutilization. Users can compare different timeframes to understand long-term workload dynamics and forecast staffing needs.

Acceptance Criteria
View Weekly Agent Utilization Trends
Given a user selects a specific week, When the trend analysis module loads, Then a line chart displays average showings per agent for each day of that week with a legend, and the chart renders within 2 seconds.
Compare Monthly Trends Across Timeframes
Given a user selects two distinct months, When the comparison view is activated, Then the module overlays both months’ average showings per agent on a single chart, highlights differences with color-coded areas, and calculates the percentage change for each agent.
Identify Peak Utilization Periods
Given a user filters by team or agent, When the trend analysis module processes historical data, Then it highlights the top 10% busiest days and hours in a bar chart and lists these periods in a sortable table.
Forecast Staffing Needs Based on Historical Data
Given historical showing data for the past six months, When the forecasting tool is run, Then it projects the number of required showings per agent for the upcoming month using linear regression with a mean absolute percentage error below 10%.
Export Trend Data for External Analysis
Given a user chooses to export data, When the export action is triggered, Then the system generates a CSV file containing date, agent identifier, number of showings, and utilization rate, and initiates download within 5 seconds.

SwapStream

Empowers agents to propose, view, and accept shift swaps directly within the platform, with automated approvals based on predefined team rules. Simplifies coverage adjustments, fosters peer collaboration, and ensures every showing slot remains filled without administrative overhead.

Requirements

Swap Proposal Creation
"As an agent, I want to propose a swap for my assigned showing slot by selecting a colleague and alternate times so that I can adjust my schedule without manual coordination."
Description

Allow agents to initiate a shift swap by selecting an existing assigned showing slot, choosing a colleague from their team, specifying preferred alternate time slots, and adding an optional note. The system should validate colleague availability and slot conflicts before submitting the proposal. This feature streamlines coordination, reduces back-and-forth communication, and ensures a clear, structured process for initiating swaps.

Acceptance Criteria
Valid Swap Proposal Initiation
Given an agent has an assigned showing slot When the agent selects a colleague from their team and chooses one or more available alternate time slots And the agent adds an optional note and submits the proposal Then the system validates colleague availability and slot conflicts And confirms submission with a success notification
Swap Proposal Rejected for Unavailable Colleague
Given an agent selects a colleague who has no overlapping availability When the agent attempts to submit the swap proposal Then the system displays an error indicating the colleague is unavailable And prevents the proposal from being submitted
Swap Proposal Prevented for Conflicting Time Slot
Given an agent selects alternate time slots that conflict with the colleague’s existing assignments When the agent submits the proposal Then the system detects the conflict And highlights the conflicting time slot And blocks proposal submission until a non-conflicting time is chosen
Optional Note Inclusion in Swap Proposal
Given an agent enters a custom note in the proposal form When the proposal is successfully submitted Then the stored proposal record includes the note exactly as entered And the note is displayed in the confirmation and in the proposal details view
Automated Approval Based on Team Rules
Given the team’s swap approval rule allows automatic approval under defined conditions When an agent proposes a swap that meets those conditions Then the system automatically approves the swap And sends notifications to both agents without requiring manual intervention
Automated Swap Approval
"As a team manager, I want swap proposals to be automatically approved if they meet team rules so that my team can adjust schedules quickly without manual intervention."
Description

Implement automated approval logic that evaluates swap proposals against predefined team rules—such as role hierarchy, availability thresholds, and maximum weekly swaps—automatically approving valid proposals or flagging exceptions for manager review. This reduces administrative overhead, ensures consistency, and accelerates the swap process.

Acceptance Criteria
Valid Role Hierarchy Swap Proposal
Given an agent submits a swap proposal with a receiving agent whose role is equal or higher in the hierarchy and both agents have availability matching the requested showing slot, when the proposal is evaluated, then the system automatically approves the swap without requiring manager intervention.
Swap Exceeds Weekly Limit
Given an agent has reached the maximum number of allowed swaps for the week as defined in team rules, when the agent attempts to propose an additional swap, then the system flags the proposal for manager review and does not auto-approve.
Insufficient Availability Swap Request
Given an agent proposes a swap but the receiving agent’s available time window does not meet the minimum threshold defined in team rules, when the swap proposal is submitted, then the system flags the proposal for manager review and does not auto-approve.
Automated Approval Notification
Given a swap proposal meets all predefined approval criteria, when the system auto-approves the swap, then both agents receive an approval notification within five seconds and the showing calendar is updated accordingly.
Manager Review and Override
Given a swap proposal is flagged for manager review due to rule exceptions, when a manager reviews the proposal, then the manager can approve or reject the swap and the system records the decision and notifies both agents within ten seconds.
Calendar Integration and Sync
"As an agent, I want my cloud calendars to update automatically when a swap is confirmed so that my schedule remains accurate across all platforms."
Description

Integrate SwapStream with popular calendar services (e.g., Google Calendar, Outlook) to display real-time availability of agents and automatically update events when a swap is accepted. The integration must handle event creation, updates, and cancellations to keep all calendars synchronized and prevent double-booking.

Acceptance Criteria
Real-time Availability Display
Given an agent’s calendar account is connected to SwapStream When the agent views their availability in SwapStream’s calendar interface Then the displayed availability must match their external calendar events within 60 seconds
Automatic Event Creation on Swap Acceptance
Given two agents agree to swap a showing slot When the swap is confirmed in SwapStream Then a new calendar event is created in both agents’ external calendars with the correct date, time, and listing details
Event Update Propagation
Given an existing swapped event in external calendars When the details of the showing (time or location) are updated in SwapStream Then the corresponding calendar events are updated in all linked external calendars within 2 minutes
Prevent Double-Booking During Swap
Given an agent attempts to accept a swap slot that conflicts with an existing calendar event When the agent clicks “Accept Swap” Then SwapStream displays a conflict warning and blocks the acceptance
Handling Event Cancellations
Given a swap event is cancelled by one party When the cancellation is confirmed in SwapStream Then the corresponding calendar events are removed from both agents’ external calendars
Real-Time Notifications and Reminders
"As an agent, I want to receive timely notifications about swap status changes so that I can respond quickly and stay informed of my schedule."
Description

Send instant notifications and reminders to agents via email, SMS, and in-app push whenever a swap is proposed, approved, or declined. Include key details such as original and new slot times, participants, and any manager comments. This ensures all parties stay informed and reduces missed swaps.

Acceptance Criteria
Email Notification on Swap Proposal
Given an agent proposes a shift swap, when the request is submitted, then both the proposing agent and the proposed swap partner receive an email within 30 seconds that includes original slot time, proposed new slot time, participants' names, and a response link.
In-App Notification on Swap Approval
Given a swap request is approved, when approval occurs (automated or manual), then both agents receive an in-app push notification within 15 seconds detailing original and new slot times, participant names, and approval confirmation.
SMS Notification on Swap Decline
Given a swap request is declined, when decline occurs, then the requesting agent receives an SMS within 30 seconds detailing the original and proposed times, decline notification, and any manager comments.
Notification Content Verification
All notification messages must include original slot time, new slot time, full names of involved agents, and any manager comments in a clear, human-readable format.
Notification Delivery Performance
Notifications sent via email, SMS, and in-app push must achieve at least 99% successful delivery rate within the defined timeframes over a monitoring period of one week.
Swap Audit Trail and Reporting
"As a team manager, I want to view a detailed history of all shift swaps so that I can monitor team scheduling and ensure accountability."
Description

Maintain a comprehensive audit log of all swap-related actions—including proposals, approvals, declines, and comments—timestamped and attributed to users. Provide managers with reporting dashboards to filter and export swap history by date, agent, or status. This enhances transparency, supports compliance, and helps identify swap patterns.

Acceptance Criteria
Audit Log Records Swap Actions
Given a user proposes, approves, declines, or comments on a shift swap, when the action completes, then the audit log contains a new entry that includes the action type, user ID, and precise timestamp.
Manager Filters Swap History
Given a manager accesses the swap audit dashboard, when they apply filters for date range and status, then only the entries matching the selected date range and status are displayed.
Export Swap History Data
Given a manager views a filtered swap history, when they click the export button and select CSV format, then a CSV file downloads containing all displayed entries with columns for action type, date/time, user ID, and status.
Display User Attribution in Audit Trail
Given any audit trail entry is displayed, then each entry visibly shows the user’s full name, role, and unique user ID next to the action details.
Audit Trail Reports Identify Swap Patterns
Given a manager generates a swap history report for a specified period, when the report is generated, then the summary displays counts of proposals, approvals, and declines per agent and highlights any agents with swap rates exceeding predefined thresholds.

Coverage Fallback

Maintains a dynamic on-call roster of backup agents who automatically receive unfilled or canceled slots. When primary assignees become unavailable, the system seamlessly reassigns the showing, guaranteeing no opportunities slip through the cracks and client satisfaction stays high.

Requirements

Dynamic On-Call Roster Management
"As an operations manager, I want to define and manage a dynamic roster of backup agents so that unfilled or canceled showing slots are automatically covered without manual scheduling."
Description

Enable administrators to configure and manage a dynamic on-call roster of backup agents, defining hierarchy, rotation rules, and availability windows. The system should support adding, removing, and prioritizing backup agents, adjusting schedules automatically based on business rules, and synchronizing with agent profiles. This requirement ensures that a flexible, rule-based roster is maintained, allowing the Coverage Fallback feature to operate seamlessly without manual intervention.

Acceptance Criteria
Configuring On-Call Roster Hierarchy
Given an administrator assigns priority levels to backup agents and saves the configuration, then the system persists the hierarchy and displays the correct agent ordering in the roster overview.
Automatically Rotating Backup Agents
Given a weekly rotation schedule is defined, when the scheduled rotation time arrives, then the system advances to the next agent in line and updates the active on-call assignment without manual intervention.
Adjusting Availability Windows
Given agents submit updates to their availability windows, when availability changes are saved, then the system excludes agents outside their windows from assignments and alerts the administrator of any availability conflicts.
Synchronizing Agent Profiles
Given an agent’s profile information is updated, when the synchronization process runs, then the roster reflects the updated profile fields within five minutes with no outdated data.
Handling Primary Agent Unavailability
Given a primary agent cancels or declines a showing slot, when the system detects the unfilled slot, then it automatically assigns the next available backup agent based on the defined hierarchy and sends notifications to the backup agent and the administrator.
Automatic Slot Reassignment
"As an agent, I want the system to automatically reassign my canceled or unfilled showing slots to backup agents so that clients always have a confirmed appointment."
Description

Automate the reassignment of unfilled or canceled showing slots to available backup agents. The system should detect open slots in real time, identify the next eligible agent from the roster, and reassign the showing while updating all relevant calendars and records. This functionality guarantees continuity of service and prevents gaps in scheduling that could harm client satisfaction.

Acceptance Criteria
Real-time Detection of Open Slots
Given a scheduled showing slot is canceled or unfilled, when the slot status changes, then the system marks the slot as open in the user interface and data model within 10 seconds.
Backup Agent Eligibility Identification
Given an open slot, when selecting the next agent, then the system selects the highest-priority backup agent who is available and has the required credentials.
Calendar Update Synchronization
Given the slot is reassigned, when the backup agent is assigned, then the system updates both the original and backup agent's calendars and shows confirmation in the agent dashboard within 30 seconds.
Notification Delivery to Agents
Given a slot reassignment, when the backup agent is assigned, then the system sends a push notification and an email to the backup agent with the slot details within 1 minute.
Client Confirmation Receipt
Given a slot is reassigned, when the backup agent confirms the assignment, then the client receives a confirmation notification with the updated agent details within 1 minute and the original agent is notified of the successful reassignment.
Real-Time Agent Availability Tracking
"As an agent, I want the system to track my availability in real-time so that fallback assignments are only offered when I’m actually available."
Description

Continuously monitor and update each agent’s availability status by integrating with calendar systems and manual status toggles. The system should accurately reflect an agent’s current capacity to accept showings and immediately exclude unavailable agents from fallback assignments. This requirement ensures that fallback assignments only target agents who are truly available, reducing missed appointments.

Acceptance Criteria
Initial Calendar Synchronization
Given the agent has linked their calendar When the system performs its scheduled sync Then the system must retrieve all busy and free slots from the agent’s calendar within the next 30 days with 100% accuracy and update the agent’s availability status accordingly.
Manual Availability Update
Given the agent toggles their availability via the mobile app When the agent sets their status to ‘Unavailable’ Then the system must immediately reflect the agent’s unavailability status to all scheduling modules within 5 seconds.
Excluded After Busy Event
Given an agent has a scheduled showing and a calendar event overlaps it When the system detects the overlap Then the agent must be automatically marked as unavailable for fallback assignments and removed from available agent lists in real-time.
Fallback Assignment Initiation
Given an unfilled appointment slot exists and the primary agent is unavailable When the availability status is updated Then the system should automatically identify the first available backup agent and assign the showing within 10 seconds.
Immediate Status Propagation
Given a manual or calendar-triggered status change When the status changes to available Then the updated availability must propagate to all client-facing and internal scheduling interfaces within 3 seconds.
Fallback Notification System
"As a backup agent, I want to receive immediate notifications when I’m assigned a fallback showing so that I can confirm or decline promptly and maintain service quality."
Description

Implement a notification mechanism that alerts backup agents of newly assigned fallback showings via email, SMS, and in-app messages. Notifications should include showing details, location, and response actions (accept, decline). Reminder alerts and escalation rules should be configurable to ensure prompt acknowledgment. This feature maximizes response rates and ensures backup agents are aware of assignments immediately.

Acceptance Criteria
Email Notification Delivery
Given a fallback showing is assigned to a backup agent When the notification system processes the assignment Then an email is sent to the backup agent within 60 seconds containing: showing ID, property address, date/time, and accept/decline links And the email delivery status is logged as 'Sent'.
SMS Notification Delivery
Given a fallback showing is assigned to a backup agent When the notification system processes the assignment Then an SMS message is sent to the backup agent’s mobile number within 60 seconds containing: property address, date/time, and a link or shortcode to accept or decline And the SMS delivery status is logged as 'Sent'.
In-App Notification Delivery
Given a backup agent is logged into the mobile app When a fallback showing is assigned Then an in-app push notification appears within 30 seconds containing: showing ID, property address, date/time, and buttons to accept or decline And tapping the notification navigates the agent to the showing details page.
Unacknowledged Reminder Alerts
Given a backup agent has not responded within the configured reminder interval When the reminder threshold is reached Then the system sends reminder notifications via email, SMS, and in-app And logs each reminder event And stops sending reminders after three attempts.
Fallback Escalation to Next Agent
Given a backup agent declines or does not respond within the escalation threshold When escalation criteria are met Then the system reassigns the showing to the next agent in the on-call roster And sends initial and reminder notifications to the new agent And logs the reassignment and notifications.
Agent Response Handling
Given a backup agent taps accept or decline in any notification When the response is received by the system Then the agent’s response is recorded in the database And the showing assignment status is updated accordingly And a confirmation message is sent back to the agent.
Coverage Analytics Dashboard
"As a broker, I want analytics on fallback assignments so that I can optimize the roster and ensure high client satisfaction and operational efficiency."
Description

Provide a dashboard displaying key metrics related to Coverage Fallback performance, including fill rates, average time to fill, agent response times, and unfilled slot trends. The dashboard should offer filtering, trend analysis, and export options, enabling brokers to optimize the fallback roster and improve overall efficiency. This requirement delivers actionable insights to drive continuous improvement.

Acceptance Criteria
Real-Time Fill Rate Monitoring
Given the broker opens the Coverage Analytics Dashboard, When the dashboard loads, Then the current fill rate for Coverage Fallback slots is displayed as a percentage with a timestamp updated within the last five minutes.
Filtered Trend Analysis of Unfilled Slots
Given the broker applies a date range and property type filter, When the filters are applied, Then the dashboard presents a line chart showing daily counts of unfilled slots over the selected period.
Average Time to Fill Calculation
Given the dashboard displays showing requests, When the system calculates metrics, Then the average time from slot availability to assignment is shown in minutes with a 1% margin of error.
Agent Response Time Reporting
Given the broker views agent metrics, When the dashboard retrieves response data, Then it lists each backup agent’s average response time to assignment notifications in seconds.
Exporting Coverage Metrics
Given the broker clicks the export button after configuring filters, When the export is triggered, Then a CSV file containing all visible metrics and filters is downloaded within five seconds.

Product Ideas

Innovative concepts that could enhance this product's value proposition.

Route Rocket

Generates optimized multi-stop showing routes, cutting drive time by 30% with real-time traffic data.

Idea

Seller SnapAlert

Immediately pings sellers with sentiment-tagged buyer feedback when scores exceed thresholds, boosting seller engagement.

Idea

VR QuickPeek

Embeds 60-second 360° home previews into mobile surveys, letting remote buyers tour properties instantly.

Idea

Social ShowReel

Auto-creates 15-second social videos from top showing highlights and buyer reactions, speeding up listing promotion.

Idea

Team Flow Harmonizer

Balances team showing requests by auto-assigning slots based on agent availability, preventing overload and ensuring coverage.

Idea

Press Coverage

Imagined press coverage for this groundbreaking product concept.

P

ShowJoy Revolutionizes Showing Efficiency with TimeSync Scheduler Launch

Imagined Press Article

SAN FRANCISCO, CA – 2025-06-21 – ShowJoy, the leading smart real estate showing platform, today unveiled its groundbreaking TimeSync Scheduler, designed to transform how agents coordinate and execute property showings. By intelligently aligning buyers’ availability, listing open hours, and realistic travel times, TimeSync Scheduler automates the most tedious aspects of scheduling and eliminates conflicts that derail busy agents. This latest innovation marks a major leap forward in showing efficiency and opens new possibilities for agents and brokers managing large portfolios of listings. TimeSync Scheduler leverages advanced algorithms and real-time data to propose optimized time windows for each appointment. Agents simply enter prospective showing requests, and the system cross-references buyer preferences with seller availability and geographic considerations. Within seconds, it suggests a streamlined itinerary that balances maximum daily coverage with minimal overlap and downtime. The result is a seamless calendar integration that requires virtually no manual adjustments and ensures every showing slot is attainable and conflict-free. “In today’s fast-paced market, agents spend countless hours juggling schedules and fielding last-minute changes,” said John Thompson, CEO of ShowJoy. “With TimeSync Scheduler, we’re putting that time back into their day. By automating complex coordination tasks, agents can focus on delivering exceptional client experiences and closing more deals.” Internal testing revealed that agents using TimeSync Scheduler reduced scheduling time by 45% and increased the number of completed showings per week by 20%, all while maintaining higher levels of customer satisfaction. Beyond raw efficiency gains, TimeSync Scheduler offers deep customization options. Agents can define buffer durations between appointments to allow for property preparation or travel in heavy traffic zones. The feature supports blackout windows for lunch, team meetings, or personal commitments. Advanced users can tailor scheduling rules—such as prioritizing certain high-value listings or reserving prime delivery slots for VIP clients—to match their unique workflows and market strategies. “TimeSync Scheduler isn’t just a tool; it’s a workflow partner,” added Sarah Malik, Vice President of Product at ShowJoy. “We’ve built in safeguards and override controls so agents retain full authority when needed, yet enjoy the benefits of a hands-off scheduling engine in routine scenarios. It’s the perfect balance of automation and human discretion.” Early adopters are already singing its praises. Independent agent Rebecca Wu of Pacific Homes Realty calls it “a true game-changer.” “I used to spend three hours every Sunday afternoon coordinating my week’s showings,” Wu said. “With TimeSync, that entire process now takes me just fifteen minutes—and I can see at a glance where every trip fits on my calendar.” Brokers handling teams of twenty or more agents report similar efficiency breakthroughs and a dramatic drop in no-show rates thanks to more precise appointment alignment. TimeSync Scheduler seamlessly integrates with popular calendar services, including Google Calendar, Outlook, and iCloud, updating in real time as changes occur. Agents never have to worry about double bookings or outdated availability. Automated notifications keep buyers, sellers, and team members informed of any schedule modifications, while an audit trail records every change for compliance and accountability. TimeSync Scheduler is available immediately to all ShowJoy premium customers at no additional cost, with rollout to lower-tier plans slated for July 2025. To learn more or to request a personalized demo, visit www.showjoy.com/timesync. Press Contact: Olivia Hernandez Director of Communications, ShowJoy press@showjoy.com (415) 555-7890 www.showjoy.com

P

ShowJoy Elevates Seller Engagement with OmniAlert Multichannel Delivery

Imagined Press Article

SAN FRANCISCO, CA – 2025-06-21 – ShowJoy, the innovative real estate showing platform, today announced the release of OmniAlert Delivery, a powerful new multichannel notification system that ensures sellers receive critical buyer feedback instantly and on their preferred platform. With RaiseAlert’s proprietary sentiment-tagging, sellers can now choose between SMS, email, in-app push, or Slack notifications, guaranteeing that no high-impact insight goes unnoticed and that every stakeholder stays informed throughout the showing lifecycle. In today’s competitive property market, timely feedback is the currency of trust. Without immediate awareness of buyer sentiments, sellers risk missing the moment to adjust pricing strategies, staging, or marketing tactics. OmniAlert Delivery addresses this challenge head-on by delivering sentiment-tagged SnapAlerts the moment a buyer completes the one-tap mobile survey embedded within ShowJoy’s platform. Sellers define custom sentiment thresholds—positive or negative—and keyword triggers that matter most to them. When feedback surpasses these parameters, OmniAlert buzzes to life on the seller’s chosen device, prompting swift action. “ShowJoy’s mission has always been to simplify and accelerate real estate transactions through intelligent automation,” said Mark Caldwell, Chief Product Officer at ShowJoy. “With OmniAlert Delivery, we’re closing the loop between buyer feedback and seller response in record time. Sellers can now act on insights the instant they arrive, whether they’re in the office, on the road, or even in another meeting.” OmniAlert Delivery is backed by robust analytics that track notification performance metrics—such as delivery rates, open times, and click-through statistics—across all channels. These insights empower brokers and team leaders to refine their communication strategies and ensure that every alert translates into informed decision-making. In beta testing, brokerages saw a 37% improvement in seller response times and a 22% increase in overall satisfaction ratings. “Ever since integrating OmniAlert, I never miss a beat,” said Luxury Lucy, top-performing agent and specialist in high-end properties. “I instantly know how buyers feel about my listing’s features, from marble countertops to outdoor patios, and can guide my sellers through quick enhancements. It’s like having a real-time feedback concierge on my team.” In addition to its notification prowess, OmniAlert features a centralized configuration dashboard that allows sellers and agents to manage channel preferences, sentiment thresholds, and alert schedules. Admin users can set global defaults for teams, while individual sellers retain full control over personal notification settings. This flexibility ensures that every stakeholder—regardless of role—receives precisely the information they need, when they need it. OmniAlert Delivery integrates seamlessly with ShowJoy’s Seller Insights Dashboard, providing a holistic view of buyer sentiment trends and alert histories over time. Sellers gain context-rich analytics, including frequency breakdowns and comparative benchmarks, which inform strategic adjustments and long-term planning. OmniAlert Delivery is available now to all ShowJoy Enterprise customers, with phased rollout to mid-tier plans beginning August 2025. To join the beta program or schedule a demo, visit www.showjoy.com/omnialert. Press Contact: Olivia Hernandez Director of Communications, ShowJoy press@showjoy.com (415) 555-7890 www.showjoy.com

P

ShowJoy Empowers Brokers with New Seller Insights Dashboard for Data-Driven Decisions

Imagined Press Article

SAN FRANCISCO, CA – 2025-06-21 – ShowJoy, the industry-leading smart real estate showing platform, is proud to announce the launch of its comprehensive Seller Insights Dashboard, a purpose-built analytics portal that delivers real-time and historical buyer feedback trends to brokers, team leaders, and sellers. By consolidating sentiment-tagged SnapAlerts, frequency metrics, and comparative performance benchmarks in one intuitive interface, the Seller Insights Dashboard equips users with the actionable intelligence needed to refine marketing strategies, optimize listings, and accelerate sales cycles. In an era where data drives decisions, agents and brokers require tools that transform raw feedback into strategic guidance. ShowJoy’s Seller Insights Dashboard aggregates every buyer interaction—from one-tap mobile surveys to sentiment triggers—into dynamic visualizations. Users can explore charts that track sentiment scores over time, review top positive and negative keywords, and benchmark their listings against regional or market-wide performance. A customizable reporting engine allows for scheduled exports and ad hoc deep dives, ensuring that key stakeholders always have the latest insights at their fingertips. “The Seller Insights Dashboard is our answer to the growing demand for transparent, data-driven collaboration between brokers and sellers,” explained Karen Patel, Vice President of Customer Success at ShowJoy. “Our platform has been generating buyer feedback for years, but until now, this intelligence lived in isolated pockets. We’ve brought it together under one roof, making it infinitely easier for teams of any size to leverage feedback trends in strategic planning and coaching.” Key capabilities of the Dashboard include: 1. Sentiment Trend Charts: Visualize positive, neutral, and negative sentiment proportions over customizable time frames. 2. Keyword Frequency Analysis: Identify the most mentioned property features and concerns to inform staging, pricing, and marketing. 3. Comparative Benchmarks: Measure your listing’s feedback performance against similar properties in the same zip code, price range, or market segment. 4. SnapAlert History: Access a timeline of every high-impact alert sent, complete with channel delivery details and recipient acknowledgment statuses. 5. Custom Report Generator: Build and schedule PDF or CSV reports with your preferred metrics and visuals for stakeholders. Early adopters report significant strategic advantages. Metric Mike, a brokerage leader overseeing 50 agents, credits the Dashboard with helping his team reduce average days on market by 15%. “We can spot dips in buyer sentiment as they happen and immediately explore root causes—whether it’s curb appeal, kitchen finishes, or listing price,” Mike said. “We’ve never been more proactive in fine-tuning our approach.” The Seller Insights Dashboard also supports collaboration across roles. Brokers can assign view or edit permissions to agents, marketing coordinators, or external consultants. In-platform commenting allows teams to annotate charts and share recommendations, fostering a culture of continuous improvement. Leaders can track report engagement and set up automated alerts when key metrics cross critical thresholds. ShowJoy has built the Dashboard with scalability in mind. It accommodates portfolios ranging from a handful of listings to thousands, with performance optimizations that load large data sets in milliseconds. A responsive web design ensures seamless access on desktop and mobile devices, allowing teams to review insights in the office, at open houses, or on the go. The Seller Insights Dashboard is available today to all ShowJoy Enterprise and Broker Boss tier subscribers. Mid-tier customers and Digital Dynamos can upgrade at a special introductory rate through the end of September 2025. To explore the Dashboard’s capabilities or schedule a hands-on walkthrough, visit www.showjoy.com/insights-dashboard. Press Contact: Olivia Hernandez Director of Communications, ShowJoy press@showjoy.com (415) 555-7890 www.showjoy.com

Want More Amazing Product Ideas?

Subscribe to receive a fresh, AI-generated product idea in your inbox every day. It's completely free, and you might just discover your next big thing!

Product team collaborating

Transform ideas into products

Full.CX effortlessly brings product visions to life.

This product was entirely generated using our AI and advanced algorithms. When you upgrade, you'll gain access to detailed product requirements, user personas, and feature specifications just like what you see below.