Virtual Event Software

PulseMeet

Turn Audiences Into Active Communities

PulseMeet energizes virtual events for tech startup marketing managers by embedding live polls, Q&A, and chat into every session. Its AI-powered dashboard surfaces real-time engagement data, empowering hosts to adapt instantly, boost participation by up to 60%, and convert passive audiences into active, high-retention communities that fuel stronger leads.

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PulseMeet

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 ignite global communities by transforming every virtual event into a catalyst for authentic connection, vibrant engagement, and measurable growth.
Long Term Goal
By 2027, empower 20,000 marketing teams to boost virtual event engagement by 60% and double audience retention, reshaping how global tech communities connect and grow.
Impact
Boosts attendee participation by up to 60% for tech startup marketing teams and reduces post-event reporting time by 75%, enabling organizers to generate more qualified leads and improve audience retention rates for future virtual events through data-driven engagement strategies.

Problem & Solution

Problem Statement
Marketing managers at tech startups struggle to drive real-time engagement and measure audience participation during virtual events, as existing event platforms lack integrated interactive features and instant analytics, resulting in lost leads and stagnant community growth.
Solution Overview
PulseMeet energizes virtual events with real-time polls, Q&A, and live chat directly embedded into sessions, while its AI-powered analytics dashboard instantly surfaces audience engagement data—enabling marketing managers to adapt on the fly and effortlessly track participation impact.

Details & Audience

Description
PulseMeet transforms dull virtual events into interactive, data-driven experiences for marketing teams and community managers. Attendees participate in polls, Q&A, and live chat—boosting engagement and measurable impact. Hosts access a real-time, AI-powered analytics dashboard, enabling instant adaptation to audience needs and streamlined post-event reporting. PulseMeet empowers organizers to turn passive viewers into active communities, driving higher retention and stronger leads.
Target Audience
Marketing managers (25-40) in tech startups needing real-time engagement data to energize virtual events.
Inspiration
During a live webinar, I watched marketers frantically share polls through clunky external apps while chat messages went unanswered, and disengaged attendees quietly dropped off. The energy in the virtual room faded, replaced by missed opportunities and silence. That chaotic moment made me realize: virtual events desperately needed a seamless, interactive platform—one that turns passive viewers into an active, measurable community.

User Personas

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

A

Analytical Alex

- Age 28–35 with master's in data analytics - Marketing analytics manager at a mid-stage SaaS startup - Urban resident in a major tech hub - 5+ years experience in event performance analysis - Salary range $80–95k annually

Background

Graduated with a statistics degree then joined an adtech startup honing dashboard skills. Spearheaded live event analytics projects, fueling a passion for real-time insights.

Needs & Pain Points

Needs

1. Real-time, granular engagement data visibility 2. Customizable dashboards for instant insights 3. Seamless integration with BI tools

Pain Points

1. Data lags hindering timely session adjustments 2. Cluttered dashboards overwhelming decision focus 3. Manual data exports disrupting efficient workflow

Psychographics

- Relentlessly curious about audience behavior - Obsessed with data-driven decision making - Values precision and actionable metrics - Enjoys deep-diving into performance trends

Channels

1. LinkedIn Learning tutorials 2. Twitter analytics chats 3. Slack marketer communities 4. ProductHunt release updates 5. Email newsletters from industry blogs

F

Facilitating Fiona

- Age 30–40 with communication studies degree - Virtual events specialist at a consulting firm - Annual income $75–90k - Lives in suburban New York City area - Over 7 years in event facilitation roles

Background

Started as corporate trainer, transitioning into virtual workshops after 2020. Developed expertise in interactive formats, leading over 200 high-energy online sessions.

Needs & Pain Points

Needs

1. Intuitive interactive tools for real-time audience engagement 2. Effortless session controls to manage pacing 3. Quick analysis to adapt on-the-fly

Pain Points

1. Cumbersome interfaces breaking session momentum 2. Slow feedback loops diluting audience energy 3. Lack of clear participation insights mid-event

Psychographics

- Passionate about participant empowerment - Thrives on orchestrating lively discussions - Values seamless, intuitive engagement flows - Motivated by positive audience feedback

Channels

1. Zoom advanced meetups 2. LinkedIn facilitator groups 3. Facebook event-hosting forums 4. Meetup workshop listings 5. Webinars from training platforms

O

Onboarding Owen

- Age 25–32 with customer success certification - CSM at a growing SaaS provider - Income $60–70k per year - Based in remote-friendly city like Austin - 3 years onboarding new clients

Background

Began career in helpdesk support, moving into success management. Pioneered virtual onboarding programs improving tool adoption by 40%.

Needs & Pain Points

Needs

1. Guided onboarding modules for new hosts 2. Accessible tutorials for advanced features 3. Automated check-ins to track progress

Pain Points

1. Overwhelmed users abandoning trials early 2. Missing step-by-step product guidance 3. No auto-reminders for incomplete setups

Psychographics

- Empathetic towards novice user challenges - Driven by client satisfaction metrics - Prefers clear, structured learning paths - Enjoys creating user educational resources

Channels

1. Intercom in-app messaging 2. YouTube tutorial videos 3. Email drip campaigns 4. Zendesk help articles 5. In-app walkthrough tours

T

Trendspotting Tessa

- Age 27–33 with marketing degree - Head of event marketing at a fintech startup - Income $85–100k annually - Located in London tech cluster - 4 years in startup marketing

Background

Launched first virtual summit in 2021, integrating experimental AR elements. Now scouts emerging engagement tools at every trade show.

Needs & Pain Points

Needs

1. Beta access to new engagement features 2. Innovation sandbox for feature testing 3. Quick implementation guides for new tools

Pain Points

1. Delayed feature rollouts slowing experiments 2. Poor documentation for cutting-edge tools 3. Risk of attendee tech glitches

Psychographics

- Thrilled by novel event technologies - Embraces risk for standout experiences - Values being industry trend leader - Motivated by attendee wow-factor feedback

Channels

1. Discord tech innovation servers 2. Twitter startup threads 3. TechCrunch product announcements 4. AI-focused newsletters 5. Clubhouse speaker rooms

E

Executive Evelyn

- Age 40–55, MBA graduate - VP Marketing at enterprise-scale company - $150k+ compensation package - Headquarters in major metropolitan area - 10+ years leadership experience

Background

Rose through marketing ranks to VP, overseeing multi-million-dollar event programs. Seeks tools that align with fiscal goals and KPIs.

Needs & Pain Points

Needs

1. Comprehensive ROI reporting dashboards 2. Transparent pricing aligned with budgets 3. Executive summary engagement snapshots

Pain Points

1. Vague metrics failing to justify spend 2. Hidden costs inflating event budgets 3. Overly granular data lacking executive clarity

Psychographics

- ROI-focused in every decision - Prefers clear metrics over features - Risk-averse but open to proven innovations - Values vendor reliability and support

Channels

1. CFO board meetings 2. Gartner research reports 3. LinkedIn executive newsletters 4. CMO roundtable events 5. Industry analyst webinars

Product Features

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

Sentiment Spectrum

Real-time visual breakdown of emoji reactions categorized by emotion — positive, neutral, and negative. Hosts instantly see the emotional tone of the audience, enabling them to adjust content pacing, tone, or topic to maintain high energy and maximum engagement.

Requirements

Real-Time Emoji Aggregation
"As a host, I want real-time aggregation of all emoji reactions so that I can immediately understand the audience’s overall sentiment and adapt my presentation accordingly."
Description

The system must continuously collect and aggregate all emoji reactions from attendees, categorizing each by positive, neutral, or negative sentiment. This aggregation should occur with minimal latency, ensuring hosts receive up-to-the-second data. The feature improves situational awareness, allowing event hosts to gauge audience mood instantly and make timely adjustments to pacing or content.

Acceptance Criteria
Initial Session Reaction Overview
Given the host starts a session When the first attendee submits an emoji reaction Then the dashboard displays the aggregated emoji sentiment breakdown within 2 seconds
Live Slide Transition Reaction Update
Given the host advances to a new slide When attendees submit emoji reactions during the slide Then the dashboard updates the sentiment breakdown in real time without manual refresh
High Attendee Concurrency Performance
Given 1,000 concurrent attendees When each attendee submits an emoji reaction simultaneously Then the system processes and displays the aggregated sentiment data within 3 seconds without errors
Emoji Sentiment Categorization Accuracy
Given attendees submit a mix of positive, neutral, and negative emojis When the system aggregates reactions Then each reaction is correctly categorized and counted under its corresponding sentiment group
Network Latency Robustness
Given intermittent network delays up to 5 seconds When attendees submit emoji reactions during the delay Then the system buffers and displays all reactions correctly once connectivity is restored, preserving original timestamps
Emotion Category Filtering
"As a host, I want to filter emoji reactions by positive, neutral, or negative categories so that I can focus on specific audience sentiment segments during my session."
Description

Hosts need the ability to filter reactions by emotion category—positive, neutral, or negative—to drill down into specific audience moods. The UI should offer toggle controls that dynamically update the visual spectrum based on the selected category. This filtering enhances focus on particular sentiment segments, aiding in targeted content adjustments.

Acceptance Criteria
Toggling Positive Sentiment Filter
Given the host is viewing the Sentiment Spectrum When the host toggles the Positive filter Then only emoji reactions classified as positive are displayed in the spectrum and the positive segment is visually highlighted
Toggling Neutral Sentiment Filter
Given the host is viewing the Sentiment Spectrum When the host toggles the Neutral filter Then only emoji reactions classified as neutral are displayed in the spectrum and the neutral segment is visually highlighted
Toggling Negative Sentiment Filter
Given the host is viewing the Sentiment Spectrum When the host toggles the Negative filter Then only emoji reactions classified as negative are displayed in the spectrum and the negative segment is visually highlighted
Multiple Emotion Filters Active
Given the host has activated multiple emotion filters When the host views the Sentiment Spectrum Then the spectrum updates dynamically to display combined segments for the selected emotions and hides unselected segments
No Emotion Filter Selected
Given the host is viewing the Sentiment Spectrum When no emotion filter is selected Then all emotion segments (positive, neutral, negative) are displayed by default and no segment is hidden
Dynamic Visual Spectrum Display
"As a host, I want a dynamic visual spectrum display of audience emotions so that I can quickly interpret sentiment trends and maintain high engagement."
Description

Integrate the sentiment data into a live visual spectrum chart that updates dynamically as new reactions come in. The spectrum should display proportional bars or colored segments representing each sentiment category. Visual cues like color intensity and animation will draw attention to shifts in mood, enhancing data readability and host responsiveness.

Acceptance Criteria
Initial Sentiment Baseline Visualization
Given the session starts with no reactions When the first reaction is received Then the spectrum chart initializes with proportional colored segments at correct minimal sizes
Real-Time Reaction Updates
Given the spectrum chart is displayed When a new reaction is submitted Then the chart updates within 500ms reflecting the new proportions of sentiment categories
High Volume Reaction Handling
Given 1000 reactions arrive within 1 second When the chart processes the input Then it smoothly animates to reflect new proportions without frame drops or UI lag
Negative Sentiment Spike Alert
Given a sudden increase of negative reactions exceeding 20% of total in 10 seconds When negative segment grows beyond threshold Then the negative bar flashes red and triggers host notification
Color Accessibility Compliance
Given the spectrum uses three colors When displayed Then each color must meet WCAG 2.1 AA contrast ratios against background and be distinguishable by color-blind users
Historical Sentiment Trend Analysis
"As an event organizer, I want to see historical sentiment trends over the session duration so that I can analyze audience engagement patterns and refine future presentations."
Description

Capture and store sentiment data throughout a session to generate a time-series graph of emotion changes. Hosts can review the trend line to identify peaks, troughs, or patterns in audience engagement. This historical insight supports post-event analysis and continuous improvement of content and delivery.

Acceptance Criteria
Time-Series Graph Generation Upon Session Completion
Given a session has concluded and sentiment data was captured every minute When the host requests the historical sentiment trend Then the system generates a time-series graph plotting positive, neutral, and negative sentiment percentages over time And the graph renders within 2 seconds
Real-Time Data Integrity Verification
Given sentiment reactions are captured in real-time When the time-series data is retrieved for the session Then the sum of positive, neutral, and negative sentiment percentages equals 100% at each timestamp And there are no missing data points for any minute of the session
Post-Event Trend Download
Given the historical sentiment trend is displayed on the dashboard When the host selects the export option Then the system exports the trend data as a CSV file containing timestamps and sentiment values And the exported file size does not exceed 50KB per hour of session data
Trend Analysis Responsive Chart
Given the host views the sentiment trend chart on devices with different screen sizes When the chart container is resized Then the chart maintains legibility with axis labels fully visible and sentiment lines distinguishable And interactive elements (tooltips, zoom controls) remain functional
Highlighting Engagement Peaks and Troughs
Given the time-series sentiment graph is generated When the host hovers over any data point on the graph Then the system displays a tooltip showing the exact timestamp and sentiment percentages for positive, neutral, and negative categories
Sentiment Threshold Alerting
"As a host, I want alerts when sentiment crosses predefined thresholds so that I can intervene quickly to address issues or leverage high engagement moments."
Description

Allow hosts to set configurable thresholds for negative or positive sentiment levels. When sentiment crosses these thresholds, the system triggers an alert notification on the host dashboard. Alerts ensure proactive interventions, helping hosts address potential issues or capitalize on positive feedback in real time.

Acceptance Criteria
Configuring Positive Sentiment Threshold
Given the host is on the Sentiment Threshold Alerting settings page, when the host sets the positive sentiment threshold to a specific percentage (e.g., 75%) and clicks Save, then the system persists the new threshold and displays a confirmation message "Positive Sentiment Threshold saved successfully."
Configuring Negative Sentiment Threshold
Given the host navigates to the threshold configuration panel, when the host enters a negative sentiment threshold value (e.g., 20%) and selects Apply, then the system stores the threshold and shows an in-line success notification without page reload.
Triggering Alert on Threshold Breach
Given a live session is in progress and sentiment analysis data updates in real time, when the audience’s negative sentiment percentage exceeds the configured threshold, then the system immediately displays an alert banner on the host dashboard indicating "Negative Sentiment Threshold Exceeded: XX%."
Alert Notification UI
Given an alert is triggered for positive or negative sentiment, when the alert appears, then it includes the sentiment type, current percentage, threshold value, and a dismiss button, and it follows the product’s design system for color-coding and typography.
Persisting Threshold Settings
Given the host has previously saved sentiment thresholds, when the host logs out and logs back in or refreshes the dashboard, then the configured thresholds are loaded and shown in the settings panel exactly as last set.

Reaction Overlay

Seamlessly overlays live emojis across shared screens and videos. By integrating audience reactions directly into the presentation canvas, hosts create a more immersive experience that highlights engagement and encourages more participation.

Requirements

Real-time Emoji Rendering
"As an event host, I want audience reactions to appear instantly on my shared presentation so that I can gauge engagement in real time and adjust my delivery accordingly."
Description

Capture audience emoji reactions in real time and render them as animated overlays on top of the shared video or screen. This functionality enhances engagement by providing instant visual feedback and integrates seamlessly with the live streaming engine to display reactions without interrupting the broadcast.

Acceptance Criteria
Immediate Reaction Display
Given the host is live streaming a session When an audience member sends an emoji reaction Then the emoji must appear overlaid on the shared video within 500ms of submission
High-Volume Reaction Handling
Given 500 simultaneous emoji submissions When reactions flood in Then the system must queue and render each emoji without dropping more than 1% of reactions
Cross-Platform Consistency
Given viewers on desktop and mobile platforms When an emoji reaction is received Then the overlay must display identically (size, position, animation) across all supported platforms
Low-Latency Performance
Given network latency up to 200ms When rendering an emoji reaction Then the end-to-end delay from reaction submission to display must not exceed 700ms
Seamless Animation Synchronization
Given multiple reactions of the same emoji type When they are rendered concurrently Then each emoji must animate independently without stutter or overlap for at least 90% of displays
Performance Optimization for Overlay
"As a participant, I want emoji overlays to display smoothly without causing lag so that I can continue viewing the presentation without interruptions."
Description

Ensure the overlay engine maintains smooth playback at 30 FPS or higher without impacting video quality or increasing CPU usage by more than 10%. This requirement minimizes latency and preserves the user experience across varying network conditions and device capabilities.

Acceptance Criteria
High Network Latency Overlay
Given an overlay session with network latency >200ms, when rendering live emojis on a 1080p video stream, then the engine maintains ≥30 FPS continuously for 5 minutes.
Low-end Device Performance
Given the overlay engine runs on a device with a baseline CPU usage of 50%, when displaying up to 10 emojis per second continuously for 10 minutes, then the engine’s CPU usage does not exceed 10% above baseline.
Preserve Video Quality
Given a 720p video stream with overlays active, when measuring video quality metrics, then PSNR remains within 1 dB and SSIM within 0.01 of the source stream.
Adaptive Performance under Bandwidth Fluctuations
Given the network bandwidth drops from 5 Mbps to 1 Mbps during an active overlay, when switching conditions, then emoji display latency stays ≤200 ms and frame rate remains ≥30 FPS.
High Concurrency Overlay Stability
Given up to 100 concurrent emoji reactions, when rendering overlays continuously for 5 minutes, then there are zero dropped frames and no frame rate dips below 30 FPS.
Configurable Reaction Types
"As a marketing manager, I want to configure which emojis participants can use so that reactions align with my event’s theme and company branding."
Description

Provide hosts with the ability to enable or disable specific emoji reaction types and upload custom emojis. This customization allows event organizers to align the reaction palette with their branding and the tone of the session, enhancing brand consistency and relevance.

Acceptance Criteria
Enable Default Emoji Types
Given the host opens the Reaction Overlay settings panel When the host toggles on one or more default emoji types Then only the enabled emojis appear in the reaction selection menu during the live session And they are immediately available for participants to use
Disable Specific Emoji Types
Given the host opens the Reaction Overlay settings panel When the host toggles off one or more default emoji types Then the disabled emojis no longer appear in the reaction selection menu during the live session And participants cannot select them
Upload Custom Emojis
Given the host accesses the custom emoji upload dialog When the host uploads a valid image file (PNG, max 100KB, 128x128px) Then the uploaded emoji appears in the reaction selection menu And it can be selected and displayed onscreen like default emojis
Custom Emoji File Validation
Given the host tries to upload an invalid file type, oversized file, or wrong dimensions When the host submits the file Then the system rejects the upload And displays a clear error message specifying the file requirements
Remove Custom Emojis
Given the host views the list of uploaded custom emojis When the host deletes a custom emoji Then the emoji is removed from the reaction selection menu And it cannot be selected by participants thereafter
Overlay Positioning Controls
"As a speaker, I want to reposition and resize emoji overlays so they enhance the presentation without blocking important slide content."
Description

Allow hosts to adjust the position, size, and opacity of emoji overlays via the AI-powered dashboard, including presets for top, bottom, left, and right screen edges. This control ensures overlays enhance the presentation without obstructing critical slide content.

Acceptance Criteria
Top Edge Position Preset
Given the host is viewing the AI-powered dashboard When the host selects the 'Top Edge' preset for emoji overlays Then the overlays should snap to the top edge of the shared screen without obscuring more than 10% of slide content
Custom Size Adjustment
Given the host is in the overlay settings panel When the host drags the size slider to increase or decrease overlay dimensions Then the overlay emojis should scale proportionally in real time
Opacity Control
Given the host has opened the opacity control When the host sets opacity to a specific value between 0% and 100% Then the overlay emojis should render with the selected transparency level
Content Obstruction Guard
Given the host has applied a positioning and size preset When the overlay emojis would cover more than 15% of any slide element Then the system should display a warning and offer to auto-adjust placement
Preset Saving and Recall
Given the host has customized position, size, and opacity When the host clicks 'Save as Preset' and later selects that preset Then the dashboard should reapply those exact settings
Emoji Moderation Dashboard
"As an event moderator, I want to filter and remove offensive emoji reactions so that the event maintains a respectful atmosphere."
Description

Implement a moderation panel that filters out inappropriate emojis in real time and allows hosts to hide or remove specific reactions. This ensures a professional environment by preventing disruptive content and maintaining respectful audience interactions.

Acceptance Criteria
Real-time Inappropriate Emoji Detection
Given a user submits an emoji reaction, when the emoji is in the blacklist, then the emoji is not displayed on the overlay within 1 second of submission.
Host Removes Specific Emoji Reaction
Given the host selects a displayed emoji reaction, when the host clicks the 'Remove' action, then the selected reaction is immediately hidden from all participant views and logged in the moderation panel.
Custom Blacklist Update
Given the host opens the emoji moderation dashboard settings, when the host adds or removes emojis from the custom blacklist, then those changes take effect immediately and are persisted across sessions.
Batch Hiding of Emoji by Category
Given the host filters reactions by category (e.g., offensive), when the host selects 'Hide All', then all reactions matching the category are removed from the overlay in under 2 seconds.
Moderation Activity Audit Log
Given any moderation action is performed, when the action completes, then an entry with timestamp, moderator ID, action type, and emoji details is recorded in the audit log accessible via the dashboard.

Custom Emoji Suite

Allows hosts to upload branded or event-specific emojis for reactions. Tailoring the emoji set to a theme or sponsor elevates brand visibility, deepens engagement, and makes reactions feel more personal and relevant.

Requirements

Emoji Upload Interface
"As a marketing manager, I want to upload branded event-specific emojis so that my event’s visual identity is reinforced and participants feel more engaged."
Description

Implement a user-friendly interface within the host dashboard that allows event hosts to upload custom emojis in common image formats (PNG, SVG) with size restrictions. The interface should support drag-and-drop functionality, display upload progress, and provide immediate visual previews. Integration with the existing asset management module ensures that uploaded emojis are stored securely and can be retrieved for use during live sessions, enhancing the personalization and branding of audience interactions.

Acceptance Criteria
Drag-and-Drop Emoji Upload
Given the host drags and drops a valid PNG or SVG file under 5MB onto the upload area, When the file is dropped, Then the interface displays an upload progress bar incrementing from 0% to 100% and shows a success message upon completion.
Emoji File Size Validation
Given the host selects an image file larger than 5MB, When the upload is attempted, Then the system rejects the file and displays an error message stating that the file exceeds the maximum allowed size of 5MB.
Unsupported File Format Handling
Given the host attempts to upload a file in an unsupported format (e.g., JPG or GIF), When the upload is initiated, Then the system prevents the upload and displays an error message indicating only PNG and SVG formats are supported.
Immediate Emoji Preview
Given a successful upload of a valid emoji file, When the upload completes, Then the interface displays a visual thumbnail preview of the uploaded emoji next to the upload area.
Secure Storage Integration
Given the emoji upload is successful, When the upload finalizes, Then the emoji appears in the asset management module, is securely stored, and is available for selection during live sessions.
Emoji Validation & Security
"As a platform administrator, I want to ensure all uploaded emojis are safe and compliant so that I can maintain security and uphold content standards."
Description

Develop a validation process that automatically scans uploaded emoji files for malware, inappropriate content, and adherence to size and format requirements. This mechanism should enforce file type restrictions and maximum dimensions, reject non-compliant uploads, and provide clear error messages to the user. Integration with the security layer guarantees that only safe and approved emojis are available for use, protecting both platform integrity and event attendees.

Acceptance Criteria
File Format Validation During Upload
Given a host uploads an emoji file When the file extension is not .png or .svg Then the system rejects the upload and displays an error message stating 'Unsupported file type: please upload PNG or SVG only'
File Size and Dimension Enforcement
Given a host uploads an emoji file When the file size exceeds 500KB or dimensions exceed 128x128 pixels Then the system rejects the upload and displays an error message stating 'File too large or dimensions too big: max 500KB and 128x128 pixels allowed'
Malware Scan Integration
Given a host uploads an emoji file When the system invokes the antivirus scanner Then any file flagged as malicious is quarantined, the upload is rejected, and the user sees 'Upload blocked: malware detected'
Inappropriate Content Filtering
Given a host uploads an emoji file When the system analyzes the image content for prohibited symbols or explicit imagery Then any file containing inappropriate content is rejected with message 'Upload blocked: content not allowed'
Successful Upload and Availability in Editor
Given a host uploads a valid, safe emoji file When all validation checks pass Then the file is stored in the approved emoji library and appears in the reaction picker with correct rendering
Emoji Library Management
"As an event organizer, I want to categorize and manage my custom emojis so that I can quickly find the right asset during live sessions."
Description

Create a management system that organizes custom emojis into folders or categories, enabling hosts to label, search, and reuse emojis across multiple events. Hosts should be able to rename, delete, or disable emojis, as well as assign tags for quick filtering. Seamless synchronization with the host’s dashboard ensures that library changes are reflected in real time, improving workflow efficiency and content consistency.

Acceptance Criteria
Uploading and Categorizing Emojis
Given a host selects 'Upload Emoji', when they choose image files and assign them to a folder or category, then the emojis are uploaded to the library, appear under the selected category within 5 seconds, and a confirmation message is displayed.
Searching Emojis by Tag
Given emojis are tagged with one or more keywords, when a host enters a tag in the search bar, then only emojis containing that tag in their metadata are displayed, with results updating in real time as the query changes.
Managing Emoji Lifecycle
Given an emoji exists in the library, when a host renames, deletes, or disables the emoji via the management UI, then the change is saved immediately, the library view refreshes to reflect the update, and an audit log entry is created.
Real-Time Synchronization with Dashboard
Given a host makes changes to the emoji library, when the changes are saved, then all active dashboard instances reflect the update within 3 seconds without requiring a page reload.
Reusing Emojis in New Events
Given a host creates or opens a new event, when they access the emoji picker, then they can browse and select from previously uploaded emojis organized by folder or category.
Real-time Emoji Deployment
"As a session host, I want my attendees to use my custom emojis in real time so that engagement feels immediate and tailored."
Description

Enhance the real-time reaction system to include custom emojis alongside the standard set, ensuring that when a host uploads new emojis, they become instantly available for audience reactions. The solution should handle live updates without page reloads, maintain performance under high-concurrency, and log usage events for analytics. This feature integrates with the existing chat and poll modules, driving more personalized and dynamic audience engagement.

Acceptance Criteria
Host Uploads Emojis Pre-Session
Given a host uploads a new set of custom emojis before the event starts, when the session page loads for all audience members, then the custom emojis are displayed alongside the standard set without requiring a page reload.
Mid-Session Emoji Upload
Given a host uploads or updates custom emojis during a live session, when the emoji upload is confirmed, then all connected audience clients automatically receive and render the new emojis in the reaction palette within 5 seconds without refreshing.
Audience Reacts with Custom Emojis
Given custom emojis are available in the reaction palette, when an audience member selects a custom emoji to react, then the reaction is instantly broadcast to the host and all attendees’ chat windows displaying the selected emoji.
Custom Emoji Usage Logging
Given audience members use custom emojis during a session, when reactions occur, then each custom emoji reaction event is logged with a timestamp, user ID, emoji ID, and session ID in the analytics database.
High-Concurrency Reaction Performance
Given 1,000 concurrent audience members reacting simultaneously using custom emojis, when reactions are sent, then the system processes and displays at least 99% of reactions without latency exceeding 200ms under peak load.
Emoji Usage Analytics
"As a marketing manager, I want to see how often each custom emoji is used so that I can assess their impact and adjust my engagement tactics."
Description

Implement analytics to track custom emoji usage, capturing metrics such as number of reactions per emoji, session timestamps, and user engagement rates. Display these insights in the AI-powered dashboard, allowing hosts to identify popular emojis and gauge audience sentiment. Data visualization tools should support filtering by event, time range, and emoji category, providing actionable insights to optimize future event strategies.

Acceptance Criteria
Real-time Reaction Recording
Given a participant uses a custom emoji reaction during a live session, when the reaction is sent, then the system logs the reaction event with timestamp, user ID, session ID, and emoji identifier.
Dashboard Display of Emoji Metrics
Given the host accesses the AI analytics dashboard, when analytics are loaded, then the dashboard displays the total count of reactions per custom emoji with accurate counts and labeled visualizations.
Data Filtering by Event and Time Range
Given the host selects an event and specifies a start and end time, when the filter is applied, then the analytics update to show only emoji reactions that occurred within the selected event and time range.
Emoji Category Breakdown
Given custom emojis are assigned to categories, when the host views category analytics, then the system presents usage counts grouped correctly by each emoji category.
Top Emoji Identification
Given multiple custom emojis have been used in a session, when the host requests a popularity ranking, then the system highlights the top five most used emojis sorted by reaction count.

Pulse Alerts

Configurable real-time notifications triggered when emoji reactions hit predefined thresholds. Hosts receive alerts for spikes in positive or negative sentiment, empowering them to capitalize on excitement or defuse potential issues immediately.

Requirements

Threshold Configuration
"As a host, I want to configure positive and negative emoji thresholds per session so that I receive alerts only when significant sentiment changes occur."
Description

Allow hosts to define custom positive and negative emoji reaction thresholds for each session via a user-friendly interface, ensuring that alerts are triggered only when engagement crosses meaningful limits. This functionality integrates with the event settings module to store and apply thresholds automatically to live sessions, reducing setup time and preventing false positives.

Acceptance Criteria
Custom Threshold Configuration in Session Settings
Given the host is on the session settings page with threshold inputs visible When the host enters a valid positive emoji threshold and a valid negative emoji threshold and clicks 'Save' Then the system stores the thresholds and displays a confirmation message
Validation of Threshold Input Format
Given the host inputs non-integer, negative, or out-of-range values in the threshold fields When the host attempts to save Then the system displays inline validation errors and prevents saving until corrected
Persistence of Configured Thresholds Across Sessions
Given the host has saved custom thresholds for a session When the host logs out and logs back in or reopens the session settings Then the previously configured thresholds are pre-populated in the input fields
Real-time Alert Triggering at Threshold Cross
Given a live session with custom thresholds configured When the count of positive or negative emoji reactions meets or exceeds the defined threshold Then the system sends a real-time notification to the host within two seconds
Default Threshold Application when No Custom Value Set
Given the host has not configured custom thresholds for a session When the session starts Then the system applies predefined default positive and negative thresholds and displays their values in the settings
Instant Alert Dispatch
"As a host, I want to receive notifications instantly when sentiment thresholds are met so that I can respond to audience feedback without delay."
Description

Deliver alerts within two seconds of threshold breaches through in-app notifications, email, or third-party integrations like Slack. This ensures hosts are immediately informed of spikes in audience sentiment, enabling real-time adjustments during the event. The system should guarantee low latency and reliable message delivery across all channels.

Acceptance Criteria
In-App Notification Dispatch
Given a sentiment threshold is breached during an event When the breach is detected Then an in-app notification is delivered to the host’s dashboard within 2 seconds containing event ID, emoji counts, and breach details
Email Alert Delivery
Given a sentiment threshold is breached When the breach is detected Then an email is sent to the host’s registered address within 2 seconds with a subject indicating the breach type and a body detailing event context and timestamp
Slack Integration Notification
Given a sentiment threshold is breached and a Slack integration is configured When the breach is detected Then a formatted message is posted to the specified Slack channel within 2 seconds including event name, emoji reaction counts, and breach threshold
Fallback on Delivery Failure
Given a notification fails to send via the primary channel When the failure is detected Then the system retries delivery on a secondary channel within 1 second and logs the failure and retry attempt
High-Volume Breach Handling
Given multiple sentiment thresholds are breached simultaneously When ten or fewer breaches occur within 5 seconds Then all corresponding alerts are queued and dispatched across channels within 2 seconds of each breach detection without loss
Sentiment Classification
"As a host, I want the system to classify emoji reactions by sentiment so that I understand whether alerts represent excitement or concern."
Description

Automatically categorize incoming emoji reactions into positive, negative, or neutral sentiment buckets using a predefined mapping, allowing the system to evaluate the balance of reactions and trigger the correct alert type. This classification feeds into the alerts logic and enhances reporting accuracy in the AI-powered dashboard.

Acceptance Criteria
Positive Sentiment Classification
Given an emoji reaction mapped as positive, When the system receives the reaction, Then it should categorize it into the positive sentiment bucket within 1 second.
Negative Sentiment Classification
Given an emoji reaction mapped as negative, When the system receives the reaction, Then it should categorize it into the negative sentiment bucket within 1 second.
Neutral Sentiment Classification
Given an emoji reaction mapped as neutral, When the system receives the reaction, Then it should categorize it into the neutral sentiment bucket within 1 second.
Unmapped Emoji Handling
Given an emoji reaction that is not defined in the mapping, When the system receives the reaction, Then it should default the classification to neutral and log a warning in the system audit trail.
Concurrent Classification Accuracy
When multiple emoji reactions are processed concurrently, Then the system should correctly increment each sentiment bucket count without loss, duplication, or misclassification.
Flexible Notification Channels
"As a host, I want to choose where I receive alerts so that I don’t miss critical notifications during busy events."
Description

Support multiple alert delivery channels—such as in-app pop-ups, email, SMS, and Slack—configurable per user. Hosts can select preferred channels in settings, ensuring critical alerts reach them via their most reliable mediums. Integration with common APIs must be secure and maintain user notification preferences.

Acceptance Criteria
In-App Pop-Up Notification on Threshold Breach
Given a host has configured in-app pop-up as a notification channel and set an emoji reaction threshold, when the threshold is reached, then an in-app pop-up must appear within 5 seconds displaying the reaction type, count, and timestamp.
Email Alert for Positive Sentiment Spike
Given a host has selected email as a notification channel and defined a positive emoji reaction threshold, when the positive sentiment threshold is met, then an email must be sent to the host’s registered address within 2 minutes containing session details and reaction metrics.
SMS Alert for Negative Sentiment Spike
Given a host has enabled SMS notifications and set a negative sentiment threshold, when the threshold is breached, then an SMS containing the session ID, negative reaction count, and suggested actions must be delivered within 1 minute.
Slack Notification Integration
Given a host has integrated a Slack workspace and chosen a channel for alerts, when any configured emoji threshold is reached, then a formatted Slack message must post to the channel within 30 seconds including emojis triggered and custom alert text.
Notification Preference Persistence
Given a host updates their preferred notification channels, when they save their settings, then the system must persist the preferences in the user profile and apply them to all subsequent alerts.
Alert Audit Trail
"As an analyst, I want a complete history of all alerts with contextual data so that I can evaluate engagement trends after the event."
Description

Log all triggered alerts with timestamps, session identifiers, reaction counts, and sentiment type in a dedicated audit database. Provide an interface to review alert history post-event, enabling hosts and analysts to track engagement patterns, validate alert accuracy, and refine future threshold settings.

Acceptance Criteria
Real-time Alert Recording
Given an emoji reaction threshold is reached during a live session When an alert is triggered Then a single record is created in the audit database containing the timestamp in ISO 8601, session identifier, reaction count, and sentiment type
Access Alert History Post-event
Given a session has concluded When the host opens the audit trail interface and selects the session Then all alerts for that session are displayed in chronological order with correct details
Filter Alerts by Sentiment
Given the audit trail interface is displayed When the host filters alerts by a specific sentiment type (positive or negative) Then only alerts matching the selected sentiment are shown
Filter Alerts by Session ID
Given multiple sessions exist in the audit database When the user selects a session identifier filter Then only alerts associated with that session identifier appear
Validate Alert Data Integrity
Given any alert record is retrieved from the audit database When the record is inspected Then the timestamp follows ISO 8601 format, session ID corresponds to an active session, reaction count is a non-negative integer, and sentiment type is one of the predefined values

Reaction Timeline

Interactive timeline chart tracking emoji activity throughout the event. Hosts and analysts can review reaction trends, identify peak engagement moments, and use these insights for post-event debriefs and future session planning.

Requirements

Real-time Emoji Data Ingestion
"As a host, I want real-time capture of emoji reactions so that I can monitor audience engagement as it happens."
Description

Capture and process emoji reactions from participants in real time with minimal latency and high reliability. The system integrates with live event data streams, ensuring that every emoji reaction is accurately recorded, timestamped, and made available for downstream visualization and analytics. This functionality supports seamless tracking of audience sentiment and maximizes the fidelity of engagement data.

Acceptance Criteria
High-Volume Reaction Handling
Given a peak load of 10,000 emoji reactions per minute, when reactions are submitted, then the system ingests and records 100% of reactions without any drops.
Emoji Timestamp Accuracy
Given an emoji reaction event, when the reaction is recorded, then the stored timestamp must be within ±100 milliseconds of the client-side event time.
Stream Interruption Recovery
Given a temporary data stream interruption, when the connection is restored within 5 seconds, then all buffered reactions during the outage are processed in order without duplication or loss.
Latency Threshold Compliance
Given any emoji reaction submission, when processed end-to-end to the analytics pipeline, then total ingestion latency must not exceed 500 milliseconds.
Data Consistency Across Clients
Given concurrent viewers on multiple client endpoints, when a new batch of reactions is ingested, then all clients must display identical reaction counts and timelines within 200 milliseconds.
Interactive Timeline Visualization
"As an analyst, I want to interact with the reaction timeline to explore engagement patterns and identify key moments."
Description

Render an interactive chart displaying emoji reaction counts over the event timeline. The visualization supports zooming, panning, and hover details, enabling users to explore engagement trends across sessions. It integrates with the PulseMeet dashboard, providing a seamless, responsive experience for both hosts and analysts to review live and historical reaction data.

Acceptance Criteria
Initial Timeline Rendering
Given the user navigates to the session overview page, when the timeline component loads, then the chart displays emoji reaction counts over the entire event duration with correct time labels and color-coded emojis.
Timeline Zoom Functionality
Given the timeline is displayed, when the user selects a specific time range using the zoom controls, then the chart magnifies to show only reactions within that range with accurate counts and updated axis scales.
Timeline Pan Interaction
Given the timeline is zoomed in, when the user drags the timeline left or right, then the chart shifts accordingly, loading data points for newly visible time segments without lag.
Hover Details Display
Given the user hovers over any data point on the timeline, when the hover state is active, then a tooltip appears showing the exact timestamp, emoji type, and reaction count for that point.
Responsive Chart Adjustment
Given the user resizes the browser window or views the dashboard on different devices, when the viewport dimensions change, then the timeline chart resizes and reflows to maintain readability and functionality.
Customizable Reaction Filters
"As a host, I want to filter the reaction timeline by emoji type and time window so that I can analyze specific reaction trends."
Description

Provide controls to filter the reaction timeline by specific emoji types, participant segments, and time ranges. Users can select or deselect emoji categories, apply demographic segments, or define custom time windows, allowing focused analysis on particular audience behaviors and sentiment drivers. This feature enhances the depth and relevance of post-event insights.

Acceptance Criteria
Applying Emoji Type Filter
Given a reaction timeline with multiple emoji types, when the user selects one or more emoji categories in the filter panel, then only reactions matching the selected emoji types are displayed on the timeline.
Filtering by Participant Segment
Given a reaction timeline populated with segmented participant data, when the user applies a demographic segment filter (e.g., location, role), then the timeline updates to show reactions only from participants in the chosen segment.
Defining a Custom Time Range
Given a full event reaction timeline, when the user inputs a custom start and end time, then the displayed timeline reflects only reactions occurring within the specified time window.
Combining Multiple Filters
Given available emoji, segment, and time filters, when the user applies a combination of emoji type, participant segment, and time range filters simultaneously, then the timeline displays reactions that satisfy all selected criteria.
Resetting All Filters
Given one or more active filters on the reaction timeline, when the user clicks the ‘Reset Filters’ button, then all filters are cleared and the timeline returns to displaying all reactions.
Peak Engagement Highlighting
"As a host, I want to see highlighted peaks in emoji activity so that I can quickly identify the most engaging parts of the event."
Description

Automatically detect and highlight peak moments of emoji activity on the timeline, annotating these points with timestamps and reaction counts. The system uses threshold-based algorithms to surface significant engagement spikes, helping hosts and analysts quickly identify the most impactful segments for debriefs and future session planning.

Acceptance Criteria
Host views highlighted peak emoji moments during live session
Given the host is viewing the live event timeline When an emoji reaction count exceeds the configured threshold Then the timeline displays a distinct marker at the precise timestamp And each marker shows the total reaction count for that moment
Analyst exports annotated peak moments in post-event dashboard
Given the event has ended and the post-event dashboard is loaded When the analyst selects 'Export Peak Data' Then the exported CSV includes rows for each highlighted peak And each row contains the correct timestamp and reaction count
System applies dynamic threshold for peak detection
Given emoji reactions are streaming in When computing peak detection thresholds Then the system calculates the threshold as 1.5 times the average reaction rate over the past 10 minutes And only flags moments where reactions >= this threshold
Non-peak activity remains unannotated on timeline
Given the timeline displays real-time reaction data When reaction counts fall below the detection threshold Then no peak markers or annotations are displayed for those periods And the timeline remains free of false positives
User filters peaks by emoji type
Given multiple emoji types are used in reactions When the user selects one or more emoji types from the filter menu Then the timeline updates to show only peak markers for the selected emoji types And annotation details reflect counts for those types alone
Export Timeline Data
"As an analyst, I want to export the reaction timeline as CSV and images so that I can include the data in reports and presentations."
Description

Enable users to export reaction timeline data in CSV and high-resolution image formats for post-event reporting. The export functionality packages raw timestamps, counts, and visual snapshots, facilitating inclusion in presentations, marketing material, and stakeholder reports. This capability supports offline analysis and broader sharing of engagement insights.

Acceptance Criteria
CSV Export Download
Given the reaction timeline chart is displayed When the user clicks the “Export CSV” button Then a file named “reaction_timeline.csv” is downloaded And the file is UTF-8 encoded with headers: timestamp, emoji_type, count
High-Resolution Image Export Download
Given the reaction timeline chart is displayed When the user selects “Export Image” with resolution set to high (300 DPI) Then a PNG file named “reaction_timeline.png” is downloaded And the image dimensions match the chart display at 300 DPI
Filtered Timeline Export Accuracy
Given the user applies a time-range filter on the timeline When the user exports CSV or image Then the exported data includes only points within the selected time range And visual elements in the image correspond exclusively to filtered data
Bulk Export Performance
Given the reaction timeline contains over 10,000 data points When the user initiates CSV export Then the CSV file is generated and downloaded within 30 seconds And when the user initiates image export, the image is downloaded within 60 seconds
Export Data Integrity
Given multiple emoji types and real-time counts are displayed When the user exports the timeline data Then the CSV counts for each emoji type match the dashboard counts at export time And the exported image visually reflects the correct counts and distribution

Contextual Poll Cue

Leverages AI to scan ongoing chat for trending keywords and conversation topics, then gently suggests poll questions that align with the current discussion. Hosts can seamlessly introduce polls that feel organic, increasing attendee engagement and relevance.

Requirements

Real-Time Chat Analyzer
"As a host, I want the system to identify trending chat topics in real-time so that I can introduce polls that resonate with attendee conversations."
Description

Continuously scan incoming chat messages during a live session using natural language processing to detect trending keywords, phrases, and topics in real-time without degrading system performance.

Acceptance Criteria
Identifying High-Frequency Keywords
Given a live session with active chat, When the analyzer processes incoming messages for 30 seconds, Then it must output the top 5 keywords occurring at least 50 times each with 95% accuracy.
Detecting Emerging Topics during Peak Activity
Given chat traffic exceeding 500 messages per minute, When the system identifies topics with sudden frequency increases of 20% within a 1-minute window, Then it must flag these topics and update the trending list within 5 seconds.
Maintaining System Performance Under Load
Given continuous ingestion of 1,000 messages per second for 10 minutes, When the analyzer runs, Then CPU and memory usage must not exceed 70% of allocated resources and message processing latency must remain below 200ms.
Filtering Non-Relevant Chat Noise
Given incoming system messages, emojis, and URLs in chat, When messages are analyzed, Then non-semantic content must be filtered out with 99% precision before keyword extraction.
Seamless Real-Time Data Streaming Integration
Given the chat analyzer connected to the live session feed, When a trending keyword is detected, Then the system must push the keyword with timestamp and confidence score to the AI dashboard API within 1 second.
AI Poll Question Generator
"As a host, I want the AI to suggest poll questions based on current chat topics so that I can engage participants with relevant questions quickly."
Description

Generate contextually relevant poll questions based on detected chat topics, providing multiple suggestion options that align with ongoing discussions for host review.

Acceptance Criteria
Trending Chat Topic Detection
Given a continuous stream of chat messages, when the AI Poll Question Generator analyzes the past two minutes of chat, then it identifies the top three trending keywords or topics.
Poll Question Suggestion Generation
Given identified trending topics, when the AI processes these topics, then it generates at least three unique and contextually relevant poll questions within five seconds.
Relevance Scoring of Generated Polls
Given the generated poll questions, when the system evaluates each question, then it assigns a relevance score of at least 80% based on topic alignment algorithms.
Host Review Interface Presentation
Given the pool of generated questions, when the suggestions are ready, then they appear in the host’s dashboard with question text, relevance score, and an actionable 'Send Poll' button.
Fallback Poll Generation
Given low chat volume or lack of clear topics, when no trending topics are detected for five minutes, then the system suggests a default generic poll question from the preset library.
Suggestion Presentation UI
"As a host, I want a clear interface that displays suggested poll questions so that I can preview and choose the most appropriate one."
Description

Present AI-generated poll suggestions in an unobtrusive interface within the host control panel, displaying question text, response options, and relevance indicators for easy preview.

Acceptance Criteria
Suggestion UI Initialization
Given the host opens the Control Panel, when the Suggestion Presentation UI is initialized, then the UI loads within 2 seconds and displays at least one AI-generated poll suggestion card.
Suggestion Card Content
Given AI-generated suggestions are available, when the Suggestion Presentation UI is rendered, then each suggestion card shows the full question text, at least two response options, and a visual relevance indicator.
Relevance Indicator Accuracy
Given trending keywords in chat, when the AI computes relevance scores, then the relevance indicator on each suggestion matches the top three trending topics with at least 80% accuracy.
Suggestion Preview and Selection
Given multiple suggestion cards, when the host clicks on a suggestion, then a preview opens showing detailed question context and a “Select to Launch” button, and clicking the button queues the poll for immediate publishing.
Suggestion Dismissal
Given the host finds a suggestion irrelevant, when the host clicks ‘Dismiss’ on a suggestion card, then the card is removed from the list and the UI does not show it again for the next session.
Host Approval Workflow
"As a host, I want to edit or reject suggested polls so that I maintain control over the session content."
Description

Provide controls for hosts to accept, modify, or reject suggested poll questions, including capabilities to edit wording, adjust answer choices, and schedule the poll launch time.

Acceptance Criteria
Host Reviews Suggested Poll Question
Given a poll suggestion is generated, When the host views the suggestion, Then the host can see the full question text, default answer choices, and suggested launch time.
Host Edits Poll Question Wording
Given a suggested poll question is selected for editing, When the host modifies the question text and confirms changes, Then the updated question is saved and reflected in the queue.
Host Adjusts Answer Choices
Given a poll question is being edited, When the host adds, removes, or renames answer choices and saves, Then the updated set of answer choices is applied to the poll.
Host Schedules Poll Launch Time
Given a poll question is ready, When the host selects a custom launch time and confirms, Then the poll is scheduled to go live at the specified time.
Host Rejects Suggested Poll
Given a poll suggestion is generated, When the host clicks reject, Then the suggestion is removed from the queue and feedback prompt is displayed.
Suggestion Feedback Loop
"As a product manager, I want feedback on poll suggestion outcomes so that we can refine the AI model for better future recommendations."
Description

Capture host feedback on each suggestion and collect post-poll engagement metrics to feed back into the AI model for continuous improvement of suggestion accuracy.

Acceptance Criteria
Suggestion Display Prompt
Given the AI recommends a poll question When the host views the suggestion panel Then the suggestion is displayed with relevant conversation context and 'Provide Feedback' option visible
Feedback Submission Captured
Given the host has provided positive or negative feedback on a suggestion When the host submits feedback Then the system records the feedback and timestamps the entry for the suggestion feedback loop
Engagement Metrics Collection
Given a poll suggestion is launched following host approval When the poll ends Then the system captures attendance, participation rate, response accuracy, and engagement duration metrics
Feedback Integration Confirmation
Given new feedback and metrics are available When the AI model retrains overnight Then the system confirms integration by updating suggestion accuracy score on the dashboard
Model Improvement Tracking
Given multiple suggestion cycles completed When the system evaluates suggestion accuracy over time Then the model improvement dashboard shows a measurable increase in suggestion relevance by at least 5% month-over-month

Adaptive Poll Sequence

Automatically adjusts the order and timing of poll questions based on live engagement metrics—such as response rates and sentiment shifts—ensuring polls remain fresh and participants stay invested throughout the event.

Requirements

Engagement Metrics Collector
"As a marketing manager, I want the system to continuously collect and process participant engagement data in real time so that the poll sequence algorithm can adapt questions on the fly to maximize responsiveness."
Description

Ingest and process live participant engagement data—including response rates, click timings, and sentiment markers—from polls, chat, and Q&A modules in real time. Normalize and stream these metrics to the Adaptive Poll Sequence engine with sub-second latency to ensure accurate, up-to-date inputs for dynamic sequencing.

Acceptance Criteria
Poll Response Ingestion
Given a live poll is active When a participant submits a response Then the response is ingested and timestamped within 100ms And the data is stored in JSON format with user ID and question ID fields populated.
Chat Engagement Data Ingestion
Given chat messages are posted during an event When messages are sent to the collector Then each message is parsed and normalized in under 200ms And duplicate messages within a 1-second window are discarded.
Sentiment Marker Processing
Given sentiment markers from Q&A modules When markers are received by the collector Then each marker is assigned a sentiment score between -1 and 1 And any invalid markers are flagged for review.
Normalization Latency Verification
Given ingested metrics in varied formats When metrics undergo normalization Then normalization completes within 300ms per metric And the output adheres to the predefined schema.
Metrics Streaming to Sequencer
Given normalized metrics are ready for dispatch When streaming to the Adaptive Poll Sequence engine Then metrics arrive with end-to-end latency under 1 second And receipt acknowledgements are logged for each batch.
Poll Ordering Engine
"As a host, I want the poll sequence to automatically reorder based on participant response trends so that I can keep the audience engaged without manual intervention."
Description

Implement an algorithmic module that calculates the optimal order of upcoming poll questions by evaluating live engagement metrics—such as response rate, drop-off risk, and sentiment trends—reordering the sequence after each poll to sustain high audience involvement.

Acceptance Criteria
Reordering on Low Response Rate
Given the current poll's response rate falls below 20% within the first 30 seconds, When the Poll Ordering Engine recalculates the sequence, Then the next poll presented must be selected from the top 3 historically highest-response questions and the updated order pushed within 5 seconds.
Maintaining Sequence During High Engagement
Given the current poll's response rate exceeds 70% throughout its duration, When recalculation occurs, Then the original poll sequence remains unchanged and no automatic reordering is triggered.
Adapting to Negative Sentiment Spike
Given a negative sentiment score increases by at least 20% compared to the previous poll, When recalculation occurs, Then the next poll must prioritize an engagement booster question (e.g., icebreaker) and log sentiment change in the audit trail.
Preventing Participant Drop-off
Given the drop-off risk metric exceeds 30% during a poll, When recalculation occurs, Then the engine must insert a quick 15-second poll question within the next two positions to re-engage participants.
Real-time Order Adjustment Post-Poll
Given any poll completes, When live engagement metrics are updated, Then the Poll Ordering Engine recalculates and delivers a new poll order to the host UI within 5 seconds with a confirmation message displayed.
Sentiment Shift Detector
"As an event moderator, I want the system to detect shifts in audience sentiment so that the poll sequence can adjust to address concerns or capitalize on positive momentum."
Description

Integrate natural language processing to analyze free-text responses and chat messages, detecting positive, neutral, or negative sentiment shifts. Feed real-time sentiment scores into the sequencing algorithm to prioritize polls that align with audience mood and address disengagement risks.

Acceptance Criteria
Detection of Negative Sentiment Spike
Given the live chat feed shows over 20% negative messages within any 2-minute window, when the Sentiment Shift Detector processes incoming messages, then it must assign a negative sentiment score ≥ 0.6 and flag the sequencing algorithm to trigger a targeted engagement poll within 30 seconds.
Real-Time Positive Sentiment Recognition
Given participants submit free-text responses containing positive language, when the Sentiment Shift Detector analyzes the messages, then it must calculate a positive sentiment score with at least 85% accuracy and recommend an uplifting follow-up poll within 20 seconds.
Neutral Sentiment Baseline Maintenance
Given mixed or ambivalent chat inputs produce sentiment scores between 0.4 and 0.6, when processed, then the Sentiment Shift Detector must maintain the neutral classification and refrain from altering the existing poll sequence unless neutral sentiment persists for more than 5 minutes.
Realtime Sentiment Score Update Under Load
Given a peak of 1,000 concurrent messages per minute, when the Sentiment Shift Detector processes the stream, then it must update overall sentiment scores within 5 seconds and maintain classification accuracy within a 5% error margin.
Integration with Sequencing Algorithm
Given real-time sentiment scores are generated, when fed into the sequencing algorithm, then the system must reorder upcoming polls within 10 seconds to prioritize those aligned with detected negative or positive sentiment trends.
Dynamic Timing Adjuster
"As a participant, I want poll timings to adapt to overall engagement levels so that I have sufficient time to respond when active and avoid unnecessary waiting when engagement is low."
Description

Adjust poll durations and launch timings dynamically based on current engagement levels. Shorten or extend poll windows to match participant activity, preventing premature closures during slow periods and avoiding undue wait times during high interaction phases.

Acceptance Criteria
Low Engagement Poll Duration Extension
Given the poll engagement rate falls below 30% after the first 60 seconds, when the original poll duration ends, then the system automatically extends the poll window by 20% of the original duration, up to a maximum of 2 minutes.
High Engagement Poll Duration Reduction
Given the poll engagement rate exceeds 70% within the first 30 seconds, when remaining poll duration is more than 30 seconds, then the system shortens the poll window so that it ends 10 seconds after the engagement spike is detected.
Hard Limits Enforcement for Poll Timing
Given any dynamic timing adjustment is calculated, when the adjustment would result in a poll duration shorter than 30 seconds or longer than 5 minutes, then the system applies the minimum or maximum limit respectively to ensure duration stays within bounds.
Immediate Response to Sudden Engagement Spike
Given an engagement spike of more than 50% increase in responses within any 15-second interval, when the spike is detected, then the system reduces the remaining poll duration by 25% to capitalize on momentum.
Consistent Poll Transition Timing
Given a poll concludes after a dynamic time adjustment, when the poll ends, then the next poll launches within a 5-second window to maintain session flow without delay.
Host Override Interface
"As a host, I want the ability to override the adaptive sequence recommendations so that I can accommodate last-minute agenda changes or address technical issues."
Description

Provide hosts and moderators with a control interface to manually override adaptive sequencing recommendations. Enable insertion of custom poll order, fixed timings, and immediate reordering to handle last-minute agenda changes or technical issues, with all overrides logged for analytics.

Acceptance Criteria
Host Manual Override Initiation
Given the host is viewing the recommended poll sequence, when the host selects the override option, then the interface displays controls for custom ordering.
Custom Poll Order Application
Given the host has selected multiple polls, when the host reorders them manually, then the updated sequence matches the host's specified order and is reflected in the live session within 5 seconds.
Fixed Poll Timing Enforcement
Given the host defines a fixed time for a poll, when the session is live, then the poll starts and ends at the specified times regardless of engagement metrics.
Immediate Reordering During Live Session
Given a live session is in progress, when the host reorders or inserts a new poll, then participants see the new poll sequence with no more than 2-second delay and no polls are skipped.
Override Actions Logging
Given any override action, when the host applies an override, then the system logs the action with host ID, timestamp, original sequence, and modified sequence in the analytics dashboard.

Sentiment-Triggered Polls

Monitors audience sentiment in real time and triggers context-sensitive polls when positive or negative reactions spike. By tapping into emotional highs and lows, hosts can capture authentic feedback and maintain momentum.

Requirements

Real-time Sentiment Analysis
"As a host, I want to see real-time audience sentiment so that I can identify emotional highs and lows during my session."
Description

The system shall continuously monitor and analyze live session data—including audio transcripts, chat messages, and reactions—using natural language processing and sentiment classification models to generate a real-time sentiment score. This score is normalized across attendees and integrated into the PulseMeet AI dashboard, enabling hosts to visualize emotional trends and feed data into the poll-trigger mechanism, ensuring timely detection of emotional spikes or drops.

Acceptance Criteria
Real-Time Sentiment Score Display
Given a live session with active audio transcripts, chat messages, and reactions, when new data is received, the system shall update the normalized sentiment score in the dashboard within 10 seconds
Sentiment Spike Detection Trigger
Given continuous sentiment scoring, when the sentiment score rises or falls by more than 15% within a 5-minute window, then the poll-trigger mechanism shall be invoked and a notification sent to the host within 5 seconds
Multi-Source Data Integration Validation
Given simultaneous input from audio transcripts, chat messages, and reactions, when the analysis engine processes data, then at least 95% of each data source’s entries shall be successfully classified for sentiment and reflected in the aggregated score
Dashboard Trend Visualization Accuracy
Given 30 minutes of historical sentiment data, when the host views the trend graph, then the visualization shall plot data points at 10-second intervals with an accuracy deviation no greater than ±2% from actual scores
Fallback Handling for Data Gaps
Given intermittent loss of one data source, when data feed is interrupted for up to 60 seconds, then the system shall continue generating a sentiment score using remaining sources and log an alert indicating degraded data input
Automated Poll Trigger Logic
"As a host, I want polls to launch automatically when audience sentiment shifts so that I can capture feedback at peak emotional moments."
Description

The platform shall implement an algorithm that monitors real-time sentiment scores and automatically triggers context-sensitive polls when predefined positive or negative sentiment thresholds are crossed. The logic will select the most relevant poll template based on session context and recent audience interactions, ensuring that polls are timely, meaningful, and aligned with the emotional state of attendees, thereby maximizing engagement.

Acceptance Criteria
Positive Sentiment Spike Trigger
Given a real-time sentiment score >= 0.8 for at least 5 consecutive seconds, when the algorithm evaluates sentiment, then it automatically triggers the positive poll template within 2 seconds of threshold crossing.
Negative Sentiment Spike Trigger
Given a real-time sentiment score <= 0.2 for at least 5 consecutive seconds, when the algorithm evaluates sentiment, then it automatically triggers the negative poll template within 2 seconds of threshold crossing.
Context-Relevant Poll Selection
Given multiple poll templates available, when a sentiment spike is detected, then the algorithm selects a poll template matching the session context keyword with at least 80% relevance score and triggers it.
Threshold Boundary Condition
Given sentiment scores fluctuate around the threshold, when the sentiment crosses the threshold for less than 3 seconds, then no poll is triggered to prevent flickering.
Session Interruption Recovery
Given a session interruption occurs, when connection is restored within 30 seconds, then the algorithm recalculates sentiment state and triggers any pending poll within 5 seconds if thresholds were crossed during disconnection.
Sentiment Threshold Configuration
"As a host, I want to set the sentiment thresholds for triggering polls so that I can balance engagement intensity and avoid overwhelming attendees."
Description

The feature shall provide configurable settings for positive and negative sentiment thresholds within the host dashboard, allowing event organizers to define sensitivity levels for poll triggers. Thresholds can be adjusted per session or globally, with real-time previews of expected trigger frequency. This flexibility ensures hosts maintain control over engagement pacing and avoid poll fatigue among attendees.

Acceptance Criteria
Adjust Positive Threshold in Session Settings
Given the host is on the session configuration panel and sets the positive sentiment threshold slider to 75%, when they save the settings, then the system stores the threshold at 75% and only triggers context-sensitive polls when real-time sentiment ≥75%.
Adjust Negative Threshold in Session Settings
Given the host accesses the session configuration panel and lowers the negative sentiment threshold to 30%, when the configuration is saved, then the system applies a 30% threshold and only triggers context-sensitive polls when real-time sentiment ≤30%.
Global Threshold Configuration Applies to New Sessions
Given the host sets global positive and negative thresholds at 80% and 20% respectively, when a new session is created without session-specific overrides, then the new session inherits the 80% positive and 20% negative thresholds by default.
Real-time Trigger Frequency Preview Updates
Given the host adjusts either threshold slider in the configuration view, when the slider value changes, then the preview chart updates within 200ms to display the projected number of poll triggers per hour based on historical engagement data.
Reset Thresholds to Defaults
Given the host has modified session or global thresholds, when they click ‘Reset to defaults’, then all threshold values revert to the system’s default settings and the preview updates to reflect the default trigger frequency.
Poll Template Management
"As a host, I want to choose and customize poll templates so that the questions align with my session’s emotional context."
Description

The system shall include a repository of context-sensitive poll templates, categorized by question type (e.g., multiple choice, rating scales) and emotional context (positive, negative). Hosts can browse, preview, and customize templates before sessions or on-the-fly. The integration with poll trigger logic will automatically select the optimal template based on current audience sentiment and session topic, streamlining poll setup and enhancing relevance.

Acceptance Criteria
Browsing Poll Templates
Given the host navigates to the poll template repository, When the host applies filters for question type 'multiple choice' and emotional context 'positive', Then only templates matching both filters are displayed within 2 seconds.
Preview and Customize Templates Pre-Session
Given the host selects a template from the library, When the preview pane loads, Then the host can view full question text, options, and emotional context tag and can modify the question text and choices with changes immediately reflected in the preview.
On-the-Fly Template Customization During Session
Given a live session is in progress and a sentiment spike is detected, When the host chooses to customize the auto-selected template, Then the system allows edits to template fields and publishes updates without interrupting the session within 30 seconds.
Automatic Template Selection Based on Sentiment Spike
Given the system detects audience sentiment crossing the defined positive or negative threshold, When the sentiment-trigger logic runs, Then the system queues the most contextually relevant poll template based on current session topic and sentiment for host confirmation.
Accurate Category Filtering and Search
Given the host uses the search bar and category filters simultaneously, When a text query and multiple category filters are applied, Then the returned templates are sorted by relevance and strictly match the query and selected categories.
Host Notification and Control Panel
"As a host, I want to be notified before a poll is launched so that I can review and approve it for my audience."
Description

Upon detecting a sentiment spike and preparing to launch a poll, the platform shall notify hosts via in-dashboard alerts and optional email or push notifications. Hosts can review the suggested poll, adjust timing or content if desired, and manually confirm or delay deployment. This control panel centralizes alerts, upcoming triggers, and customization options, giving hosts oversight and flexibility over engagement activities.

Acceptance Criteria
Positive Sentiment Spike Notification
Given the AI detects a positive sentiment spike in the live session chat When the threshold is reached Then an in-dashboard alert appears for the host within 2 seconds and an optional notification is queued
Suggested Poll Content Editing
Given a suggested poll appears in the control panel When the host clicks ‘Edit’ Then the poll title, description, and answer options become editable and changes are saved on confirmation
Manual Poll Deployment Delay
Given a poll is scheduled to launch in the next 30 seconds When the host selects ‘Delay’ and specifies a new time Then the poll launch is rescheduled accordingly and the control panel updates with the new timestamp
Email and Push Notification Delivery
Given the host has enabled email and/or push notifications When a sentiment-triggered poll is ready Then notifications are sent to the host’s registered channels within 5 seconds containing poll preview and action links
Control Panel Overview of Pending Triggers
Given the control panel is open When multiple sentiment spikes and polls are pending Then the panel lists each trigger with timestamp, sentiment type, poll preview, and action buttons in chronological order
Sentiment-Poll Performance Reporting
"As a host, I want a report linking sentiment changes to poll responses so that I can assess the effectiveness of my engagement tactics."
Description

After each session, the dashboard shall generate detailed reports correlating sentiment trends with poll engagement metrics, including response rates, poll completion times, and sentiment shifts post-poll. These analytics help hosts understand the impact of triggered polls on audience engagement and guide future session planning, fostering continuous improvement and data-driven event strategies.

Acceptance Criteria
Post-Session Report Generation
Given a session has ended, when the dashboard processes session data, then it shall automatically generate a comprehensive report including sentiment trends, poll response rates, and poll completion times.
Sentiment and Poll Engagement Correlation
Given the post-session report is viewed, when the sentiment and poll data are displayed, then the report shall include a time-series correlation chart mapping sentiment scores against poll engagement metrics for each triggered poll.
Poll Completion Time Metrics
Given the report contains poll details, when poll completion data is presented, then each poll entry shall list the average completion time with precision to two decimal places and flag any entries exceeding predefined thresholds.
Sentiment Shift Analysis Post-Poll
Given the report visualizes sentiment over time, when analyzing post-poll intervals, then the dashboard shall highlight any sentiment shifts of 10% or more within five minutes following each poll trigger.
Report Export and Sharing
Given a user requests to share the report, when exporting is initiated, then the dashboard shall allow export in PDF and CSV formats preserving all data fields and provide a shareable link valid for seven days.

Auto-Deploy Polls

Enables one-click activation of AI-recommended polls at pre-set engagement thresholds. Hosts can focus on content delivery while PulseMeet handles the precise timing and launch of interactive questions for maximum participation.

Requirements

Engagement Threshold Configuration
"As an event host, I want to configure engagement thresholds so that polls deploy automatically at moments of high audience activity, maximizing participation without manual intervention."
Description

Allow hosts to define specific engagement metrics—such as chat messages, poll responses, or questions submitted—that automatically trigger AI-recommended polls when reached. This feature integrates with the session analytics engine to monitor real-time audience activity and lets hosts set thresholds per event or apply default values globally. By ensuring that interactive questions launch precisely at moments of peak participation, it maximizes response rates and maintains a seamless flow of discussion.

Acceptance Criteria
Custom Engagement Threshold Setup
Given the host is on the Engagement Threshold Configuration page; When the host inputs a custom threshold of 50 chat messages for Event A and clicks Save; Then the system stores the custom threshold and displays "Threshold: 50 chat messages" on the event settings.
Global Default Threshold Application
Given the host has enabled global default thresholds; When a new event is created without an event-specific threshold; Then the system applies and displays the default thresholds (e.g., 30 chat messages) for the new event.
Real-Time Monitoring of Engagement Metrics
Given an active session with configured thresholds; When audience engagement metrics (chat messages, poll responses, questions) reach the set threshold; Then the system logs the metric event and updates the dashboard within 5 seconds.
Threshold Triggering of AI-Recommended Poll
Given the engagement threshold is reached during a live session; When metrics meet or exceed the configured value; Then the system automatically deploys the AI-recommended poll within 2 seconds and displays a host notification "Poll deployed successfully".
Threshold Adjustment Mid-Session
Given a session is in progress with an existing threshold; When the host updates the threshold to a new value and saves; Then the new threshold applies immediately to the ongoing session and is reflected in real-time monitoring.
AI Poll Recommendation Engine
"As a marketing manager, I want AI-generated poll suggestions that align with my audience’s interests, so that I can quickly engage attendees with highly relevant questions."
Description

Provide an AI-driven module that analyzes historical session data, audience demographics, and live engagement signals to suggest the most relevant poll questions and optimal formats. Recommendations are presented with confidence scores, topic tags, and brief rationales. This capability enhances relevance and boosts audience interaction by tailoring poll content to the specific context and preferences of each session.

Acceptance Criteria
Initial Poll Recommendation at Session Start
Given the host opens a new session and historical data is loaded, when the AI module initializes, then it suggests at least three poll questions with associated confidence scores, topic tags, and brief rationales within ten seconds.
Real-Time Engagement Triggered Poll Suggestion
Given the live session engagement falls below the predefined 60% threshold, when the drop is detected in real time, then the system automatically recommends a poll question formatted for the current audience within 30 seconds.
Topic Relevance in Recommendations
Given a session topic of “AI Marketing Trends,” when the engine generates suggestions, then every poll question includes topic tags matching “AI Marketing Trends” and is scored for relevance above 0.7.
Confidence Score Filtering
Given a set of candidate poll questions, when recommendations are displayed, then only those with confidence scores of 0.75 or higher are presented to the host.
Rationale Clarity Presentation
Given each recommended poll question, when displayed to the host, then a concise rationale of no more than 140 characters explaining why the question is relevant is shown alongside confidence scores and topic tags.
One-Click Poll Activation UI
"As a session host, I want a single-click interface for launching AI-selected polls, so that I can engage my audience instantly without disrupting my presentation flow."
Description

Implement a streamlined interface within the host control panel that displays AI-recommended polls ready for deployment, complete with previews and status indicators. Hosts can activate any suggested poll with a single click, accompanied by optional confirmation prompts to prevent accidental launches. This design reduces friction and cognitive load, enabling hosts to maintain focus on content delivery while seamlessly initiating interactions.

Acceptance Criteria
One-Click Poll Activation Visible
Given the host is on the session control panel and AI-recommended polls are available, when the recommendations load, then each poll displays an active 'Deploy Poll' button; Given the host clicks the 'Deploy Poll' button next to a recommendation, then the selected poll is launched immediately into the live session.
Poll Preview Display
Given a recommended poll is listed, when the host selects its preview icon, then a modal displays the poll question, answer options, and estimated participation rate; Given the preview modal is open, when the host closes it, then the control panel returns to the initial recommendation list without launching the poll.
One-Click Activation Without Additional Steps
Given the host clicks the 'Deploy Poll' button for a recommended poll, then the poll appears to participants within 3 seconds; Given deployment is successful, when the host views the control panel, then the deployed poll is no longer listed under recommendations.
Optional Confirmation Prompt
Given the host has enabled confirmation prompts in settings, when they click 'Deploy Poll', then a confirmation modal appears asking 'Are you sure you want to launch this poll?'; Given the confirmation modal is displayed, when the host selects 'Confirm', then the poll deploys; when the host selects 'Cancel', then no poll is launched.
Status Indicator Accuracy
Given a recommended poll is undeployed, when the control panel is viewed, then its status indicator reads 'Recommended'; Given the poll is deployed, when the control panel refreshes, then its status indicator updates to 'Live'; Given the poll concludes, when the session ends, then its status indicator updates to 'Completed'.
Real-Time Engagement Feedback
"As a host, I want to see instant engagement metrics after each poll, so that I can adjust my strategy and keep the audience engaged effectively."
Description

Integrate a live metrics display in the session dashboard that updates immediately after a poll is auto-deployed, showing response rates, average response times, and participant completion percentages. This real-time feedback empowers hosts to gauge poll effectiveness and adapt follow-up questions or discussion points on the fly, fostering dynamic and responsive event experiences.

Acceptance Criteria
Live Metrics Refresh Post Poll Deployment
Given a poll is auto-deployed, when the poll launches, then the session dashboard updates to display the latest response rate, average response time, and completion percentage within 2 seconds without a full page reload.
Accurate Response Rate Calculation
Given at least one participant response, when the dashboard displays the response rate, then it shows the number of responses divided by the total participants present at deployment with an accuracy of ±1%.
Real-Time Average Response Time Display
Given multiple participant responses, when the dashboard calculates average response time, then it computes the mean time difference between poll launch and response submission and displays it rounded to the nearest second.
Participant Completion Percentage Tracking
Given the total number of participants at poll launch and the number of completed responses, when the dashboard shows completion percentage, then it accurately presents completed responses as a percentage of total participants rounded to the nearest whole number.
Poll-Specific Metric Isolation
Given multiple polls in a session, when an auto-deployed poll finishes, then the dashboard displays metrics only for that poll, ensuring no data from previous or future polls is mixed in.
Manual Override Control
"As a host, I want the ability to override or adjust auto-deploy polls in real time, so that I can correct or update interactions based on the session’s evolving context."
Description

Offer hosts a dedicated manual control panel to pause, cancel, or modify scheduled auto-deployment sequences at any time. The panel reflects current threshold settings and queued polls, allowing for immediate adjustments or emergency halts. By providing full control over automated processes, this feature ensures hosts can prevent mistimed or irrelevant polls and maintain session integrity.

Acceptance Criteria
Pause Auto-Deploy Polls During Session
Given the host has activated Auto-Deploy Polls When the engagement threshold is about to be reached and the host clicks the 'Pause' button on the control panel Then the system halts any pending poll deployments immediately and displays a confirmation that auto-deployment is paused.
Modify Queued Poll Settings
Given one or more polls are queued for auto-deployment When the host edits threshold values or question content via the control panel and confirms the changes Then the updated settings apply to all future auto-deploy polls and the queue view reflects the new parameters.
Cancel Scheduled Polls Before Threshold
Given polls are scheduled to deploy upon hitting predefined engagement thresholds When the host selects a scheduled poll and clicks 'Cancel' Then the poll is removed from the schedule, a confirmation notification is shown, and the cancelled poll no longer appears in the queued list.
Resume Poll Sequence After Modification
Given the host has previously paused the auto-deploy sequence When the host clicks 'Resume' on the control panel Then the system reinstates the auto-deploy sequence starting with the next queued poll and the panel indicates auto-deployment is active.
Reflecting Threshold Changes in Control Panel
Given the host updates engagement thresholds for auto-deployment When the changes are saved Then the manual control panel immediately displays the updated threshold values without affecting already triggered polls.
Auto-Deploy Audit Log
"As an event organizer, I want detailed logs of all auto-deployed polls, so that I can review their performance and refine engagement strategies for future sessions."
Description

Maintain a comprehensive audit log for every auto-deployed poll, capturing details such as timestamps, triggered metrics, selected questions, and aggregated response data. Accessible via the analytics section, this log supports post-event analysis, compliance tracking, and continuous improvement of AI recommendation accuracy. It provides transparency and actionable insights for optimizing future events.

Acceptance Criteria
Access Audit Log from Analytics Section
Given a host is on the Analytics page; When the host navigates to the 'Auto-Deploy Polls Audit Log' tab; Then the system displays a paginated list of all auto-deployed poll entries with timestamp, metric triggered, poll question, and aggregated response data.
Filter Audit Log Entries by Date Range
Given a host has the audit log open; When the host sets a start and end date filter; Then the log displays only entries within the selected date range.
Search Audit Log by Poll Question
Given a host wants to find specific poll entries; When the host enters a keyword in the search bar; Then the system returns audit log entries where the poll question contains the keyword.
Export Audit Log Data
Given a host has filtered or searched the audit log; When the host clicks 'Export CSV'; Then the system generates and downloads a CSV file containing the visible log entries with all details intact.
Verify Real-Time Logging of Auto-Deploy Events
Given an auto-deploy threshold is reached during a live event; When the system triggers a poll; Then the audit log entry is created immediately with the correct timestamp, metric triggered, poll question, and zero or initial response count.

Poll Success Predictor

Uses historical event data and machine learning to forecast poll performance—such as expected response rate and completion time—allowing hosts to select the most impactful questions and optimize session pacing.

Requirements

Historical Event Data Collector
"As a data engineer, I want to collect and normalize historical poll event data so that the machine learning model has reliable inputs for training."
Description

Implement a robust data ingestion pipeline that aggregates past event metrics—including poll questions, response counts, timestamps, and audience segments—from our database and third-party sources. This module should support batch and real-time data pulls, ensure data normalization, handle schema evolution, and maintain data integrity. The pipeline will feed clean, structured historical data into the machine learning workflow, enabling accurate training and predictions.

Acceptance Criteria
Batch Data Ingestion from Internal Database
Given valid database credentials and network access When the batch ingestion job is triggered Then all historical event metrics from the last 24 months are fetched, persisted in the staging area, and no record contains null values for poll question, response count, timestamp, or audience segment
Real-Time Data Ingestion from Third-Party Sources
Given a new poll event occurs in a third-party system When the real-time ingestion pipeline processes the event Then the record is ingested into the pipeline within 2 minutes, mapped to the internal schema, and acknowledged back to the source
Data Normalization and Schema Evolution Handling
Given raw data with inconsistent field names, data types, or extra fields When the normalization process runs Then output data must conform to the current schema version v2.0, with standardized field names, correct data types, and deprecated fields removed or migrated
Data Integrity and Error Handling
Given transient network errors or malformed input When the ingestion pipeline encounters an error Then it retries up to 3 times for transient failures, logs errors for malformed records without halting the pipeline, and marks problematic records for manual review
Pipeline Output to Machine Learning Workflow
Given normalized and validated data available in the data lake When the ML training job starts Then it successfully reads the data without schema mismatch errors and confirms dataset completeness with at least 99% of expected records present
Feature Engineering & Preprocessing
"As a data scientist, I want to preprocess and engineer relevant features from raw event data so that the ML model can learn effective patterns for predicting poll performance."
Description

Design and develop a preprocessing component that transforms raw event data into meaningful features for the prediction model. This includes time-based aggregations (e.g., average response rate per minute), audience segmentation metrics, question complexity scores, and session pacing indicators. The component should be modular, configurable, and scalable, allowing for easy addition of new features and adjustments of preprocessing rules.

Acceptance Criteria
Time-Based Aggregation of Poll Responses
Given raw polling event timestamps and response counts, when the preprocessing component runs, then it computes and outputs the average response rate per minute for each poll session.
Audience Segmentation Feature Calculation
Given raw participant metadata and behavior logs, when the segmentation module executes, then it assigns each participant to predefined segments and produces segment-level metrics (e.g., size, average engagement).
Complexity Scoring of Poll Questions
Given poll question text and associated metadata, when the complexity scoring function is applied, then it calculates a normalized complexity score (0–1) based on length, linguistic features, and answer options.
Session Pacing Metric Generation
Given session timelines and poll timestamps, when the pacing indicator runs, then it outputs the average interval between consecutive polls and flags sessions where pacing falls outside configurable thresholds.
Dynamic Feature Configuration and Scalability
Given a request to add or modify a preprocessing rule via configuration, when the component reloads settings, then it integrates the new feature rule without code changes and validates output correctness.
Machine Learning Model Training
"As an ML engineer, I want to train and validate a predictive model so that hosts can receive accurate forecasts on poll performance."
Description

Develop, train, and validate a machine learning model that forecasts poll response rate and completion time. The process should include algorithm selection, hyperparameter tuning, cross-validation, and performance evaluation using metrics such as RMSE and accuracy. Provide scripts for automated retraining and versioning of models, and integrate with the CI/CD pipeline for seamless model updates.

Acceptance Criteria
Initial Model Training with Historical Event Data
Given a cleaned historical event dataset When the training pipeline is executed Then the model completes training within the scheduled window and outputs a trained model file with RMSE <= 0.15 and accuracy >= 80%.
Hyperparameter Tuning and Cross-Validation
Given the initial model setup When hyperparameter tuning is initiated with 5-fold cross-validation Then the pipeline logs parameter combinations, selects the best hyperparameters based on lowest validation RMSE, and ensures variance between folds is <= 5%.
Automated Retraining Pipeline Trigger
Given new event data is available in the source repository When the data version in the CI/CD pipeline is updated Then the automated retraining job is triggered successfully and the new model artifacts are stored in the model registry with a timestamped version.
Model Versioning and Deployment Integration
Given a new model version is registered When the CI/CD pipeline deploys the model Then the deployment completes without errors and the service endpoint reflects the new model version with zero downtime.
Performance Monitoring and Validation
Given the deployed model is serving inference requests When the performance monitoring job runs daily Then it generates a report comparing current RMSE and accuracy against baseline, alerts if RMSE increases by > 10% or accuracy drops below 75%, and logs metrics to the dashboard.
Prediction Service API
"As a backend developer, I want to expose model predictions via an API so that the front-end can fetch forecasts in real time."
Description

Create a scalable, secure RESTful API endpoint that accepts poll metadata (e.g., question type, audience size, session context) and returns predicted response rate and completion time. The service must ensure low latency (<200ms), handle high concurrency, provide authentication, and log requests for monitoring. Include versioning support to deploy updated models without downtime.

Acceptance Criteria
Validating Response Rate Prediction Latency
Given correct poll metadata (question type, audience size, session context), When a prediction request is sent, Then the API responds within 200ms; And the response payload includes "predictedResponseRate" and "predictedCompletionTime" fields formatted as a percentage and milliseconds respectively.
Handling High Concurrency Requests
Given 10,000 concurrent requests to the Prediction Service API, When the service processes these requests, Then at least 99% of responses are returned within 200ms; And the error rate does not exceed 1%.
Ensuring Secure API Access
Given an API request without a valid authentication token, When the request is processed, Then the service returns HTTP 401 Unauthorized and no prediction is computed; Given a request with a valid token, When processed, Then the service returns predictions successfully.
Versioned Model Deployment
Given a client specifies an API version header (e.g., "Accept-Version: v2"), When the request is routed, Then the corresponding model version is invoked; And requests to previous versions remain functional during version updates without downtime.
Audit Logging of Requests
Given any Prediction Service API request, When the request is processed, Then the system logs the request metadata (timestamp, client ID, API version, input payload) and response metrics (latency, status code) to the monitoring system.
Dashboard Integration & Visualization
"As a session host, I want to see predicted poll performance in my dashboard so that I can choose the most impactful questions and optimize pacing."
Description

Integrate prediction results into the PulseMeet host dashboard, displaying forecasted response rates and completion times alongside recommended questions. Visual elements should include gauge charts, confidence intervals, and contextual tooltips. Ensure seamless UX flow, accessibility compliance, and responsive design across devices. Provide toggles for hosts to simulate different scenarios and preview alternate question performance.

Acceptance Criteria
Display Forecasted Response Rates and Completion Times on Dashboard
Given a host opens the PulseMeet dashboard When the Poll Success Predictor data is retrieved Then gauge charts for response rate and completion time are rendered correctly And confidence intervals are displayed as shaded regions on the charts And hovering over a gauge displays a contextual tooltip with detailed statistics
Responsive Visualization on Mobile Devices
Given a host accesses the dashboard on a mobile device When the screen width is below 768px Then all visual elements (gauges, toggles, tooltips) resize proportionally And no horizontal scrolling is required And tooltips appear within the viewport
Scenario Simulation with Alternate Questions
Given a host toggles the scenario simulation When the host selects an alternate question Then the forecasted response rate and completion time update within 2 seconds And the gauge charts reflect the new predictions And the confidence intervals adjust accordingly
Accessibility Compliance for Visual Elements
Given the dashboard is loaded When using assistive technologies Then all visualizations have ARIA labels describing their purpose and values And color contrast ratios meet WCAG AA standards And tooltips are accessible via keyboard navigation
Seamless UX Flow During Dashboard Loading
Given the dashboard is loading predictor data When the data request is in progress Then a loading spinner or skeleton placeholder is displayed And once data is loaded Then visual elements load without layout shift exceeding 0.1 Cumulative Layout Shift
Model Performance Monitoring
"As an operations engineer, I want to monitor the prediction model’s health and accuracy so that we can maintain reliable forecasts and retrain when necessary."
Description

Implement monitoring and alerting for the prediction service to track model drift, prediction accuracy, latency, and error rates. Use dashboards to visualize key performance indicators, set threshold-based alerts, and schedule regular evaluations against fresh event data. Provide automated reports and a feedback loop to trigger retraining when performance degrades.

Acceptance Criteria
Model Drift Detection Dashboard
Given historical and current prediction accuracy metrics are ingested When model drift exceeds 5% threshold over a 24-hour window Then the drift metric is visualized on the dashboard and highlighted in red
Threshold-Based Alert Trigger
Given real-time monitoring of prediction error rates When error rate exceeds 2% for three consecutive hours Then an email and Slack alert is sent to the on-call ML engineer with details
Latency Monitoring for Predictions
Given predictions are served via the API When average response latency in a 1-hour interval exceeds 200ms Then a dashboard widget displays the latency breach and triggers an alert
Scheduled Evaluation Reporting
Given fresh event data is collected daily at midnight When scheduled evaluation runs complete Then an automated report is generated and sent to stakeholders by 2 AM
Automated Retraining Feedback Loop
Given model performance degrades below accuracy threshold in scheduled evaluations When degradation is detected Then retraining job is triggered automatically, and the status is logged

Focus Lens

Allows hosts to zoom into specific timeframes within the heatmap for a granular view of engagement spikes. By adjusting the time window, users can pinpoint the exact moment of highest activity and uncover detailed interaction patterns, making it easier to analyze and optimize session flow.

Requirements

Zoom Control Slider
"As a session host, I want to adjust a time range via a slider so that I can zoom into specific moments of high engagement."
Description

Implement an interactive slider allowing hosts to adjust the start and end time window on the session heatmap, enabling granular analysis of engagement spikes. The slider should integrate seamlessly with the PulseMeet heatmap component and support real-time updates as the host adjusts handles. Expected outcome: hosts can isolate specific timeframes to identify when polls, Q&A, or chat posts triggered peaks, improving session optimization.

Acceptance Criteria
Host adjusts slider handles to define custom time window
Given the session heatmap is displayed and fully loaded, When the host drags the start handle to timestamp T1 and the end handle to timestamp T2, Then the heatmap view updates to display data only within the T1–T2 window.
Heatmap updates in real-time as slider handles move
Given the host is interacting with either slider handle, When the handle position changes by any amount, Then the heatmap component refreshes and renders the new time window within 200 milliseconds.
Slider handles respect session boundaries
Given the session has defined start and end times, When the host attempts to drag a handle before the session start or past the session end, Then the handle snaps back to the nearest valid boundary (session start or session end).
Slider initializes to full session timeframe on load
Given the host opens the session heatmap for the first time, When the heatmap and slider load, Then both slider handles default to the session’s start and end times, showing the full duration by default.
Slider supports fine-grained adjustments with keyboard controls
Given a slider handle is focused, When the host uses left/right arrow keys or Shift+arrow keys, Then the handle moves in 1-second increments (arrow) or 0.1-second increments (Shift+arrow) along the timeline.
Timeframe Highlight Markers
"As a session host, I want event markers on the heatmap so that I can correlate engagement peaks with specific activities."
Description

Display visual markers on the heatmap timeline indicating key events such as poll launches, Q&A sessions, or chat peaks. These markers should appear when zoomed in and provide context to engagement spikes, integrating with the event metadata. Expected outcome: hosts can correlate engagement peaks with specific activities.

Acceptance Criteria
Poll Launch Marker Display
Given the host has zoomed into a 5-minute timeframe on the heatmap, when a poll is launched within that window, then a distinct visual marker appears at the precise timestamp of the poll launch, using a unique color and labeled 'Poll Launch'.
Q&A Session Marker Tooltip
Given the host hovers over a Q&A session marker on the zoomed-in heatmap, then a tooltip displays the event name 'Q&A Session', its start time, duration, and total number of questions asked.
Chat Peak Marker Context Integration
Given the heatmap is zoomed into any timeframe, when a chat activity peak (top 5% volume) occurs, then a marker appears at that timestamp showing chat volume metadata (message count) and links to the chat transcript.
Timeframe Zoom Synchronization of Markers
Given the host adjusts the start or end time of the heatmap zoom window, then only markers within the new window remain visible, reposition correctly on the timeline, and markers outside the window are hidden.
Marker Legend Clarity
Given the host views the heatmap legend, then marker symbols and colors for 'Poll Launch', 'Q&A Session', and 'Chat Peak' are listed with clear labels and update dynamically based on which marker types are present in the visible window.
Heatmap Tooltip Details
"As a session host, I want to hover over the heatmap to see detailed engagement metrics so that I can understand the nature of each spike."
Description

Enable tooltips that appear when hovering over points in the zoomed-in heatmap, showing exact metrics like number of interactions, event types, and timestamps. These tooltips should fetch real-time data and display it clearly. Expected outcome: hosts instantly see detailed stats for precise moments without leaving the heatmap view.

Acceptance Criteria
Hovering Over Engagement Spike
Given the host has zoomed into the heatmap view When the host hovers over a data point representing an engagement spike Then a tooltip displays the exact number of interactions, list of event types, and precise timestamp within 1 second of real time
Tooltip Data Accuracy in Live Session
Given a live event is in progress and the host views the zoomed-in heatmap When hovering over any point Then the tooltip data matches the backend real-time engagement metrics with 99% accuracy
Consistent Tooltip Rendering Across Browsers
Given the host uses Chrome, Firefox, or Safari When hovering over a heatmap point in the zoomed-in view Then the tooltip appears within 200ms and displays correctly formatted metrics in all supported browsers
Dynamic Update of Tooltip Content
Given new interactions occur in the selected timeframe While the host continues hovering over or moving between points Then the tooltip updates its displayed metrics in real time without needing a page refresh
Tooltip Visibility and Positioning
Given the heatmap is zoomed and the host hovers near the view edges When the tooltip would overflow the viewport Then the tooltip repositions itself to remain fully visible and legible within the heatmap container
Engagement Peak Snapshot Export
"As a session host, I want to export the zoomed-in heatmap snapshot so that I can share detailed engagement insights with my team."
Description

Provide an option to export a snapshot of the selected zoomed-in timeframe, including heatmap visuals and metric summaries, in PDF or PNG format. The export should capture the current view, annotations, and key stats. Expected outcome: hosts can share detailed engagement snapshots with stakeholders for post-event analysis.

Acceptance Criteria
Host Requests PDF Export
Given the host has selected a zoomed-in timeframe When the host clicks 'Export as PDF' Then a PDF file named 'Engagement_Peak_Snapshot_<timestamp>.pdf' is generated and downloaded within 10 seconds
Host Requests PNG Export
Given the host has selected a zoomed-in timeframe When the host clicks 'Export as PNG' Then a PNG file named 'Engagement_Peak_Snapshot_<timestamp>.png' is generated and downloaded within 10 seconds
Heatmap Visuals Render in Export
Given an exported snapshot file When opened Then the heatmap visual matches the on-screen zoomed-in view, including color gradients and time axis labels
Metric Summaries Displayed in Export
Given an exported snapshot file When opened Then the file includes key metrics such as total interactions, peak interaction timestamp, and average engagement for the selected timeframe
Annotations Included in Export
Given the host has added annotations to the zoomed-in heatmap When the snapshot is exported Then all annotations appear in their original positions, fonts, and colors in the exported file
Error Handling for Unsupported Format
Given the host selects a non-supported format (e.g., GIF) When attempting to export Then the system displays an error message 'Unsupported format selected. Please choose PDF or PNG' and no file is generated
Integration with AI Dashboard Insights
"As a session host, I want AI-driven recommendations for the selected timeframe so that I can optimize future sessions based on precise data."
Description

Synchronize the zoomed-in timeframe selection with the AI-powered dashboard to automatically update predictive analytics and recommendations for the selected period. This integration should allow hosts to receive session flow optimization tips based on the specific time window. Expected outcome: hosts benefit from AI-driven insights tailored to the analyzed timeframe.

Acceptance Criteria
Host zooms into peak engagement period
Given the host selects a specific timeframe on the heatmap When the selection is made Then the AI dashboard automatically updates to display predictive analytics and tailored recommendations for that timeframe within 2 seconds
AI recommendations reflect selected window
Given the AI dashboard has loaded initial session data When the host adjusts the time window using Focus Lens Then the dashboard displays updated optimization tips that are unique to the new window and distinct from previous recommendations
Session flow optimization tips display correctly
Given a timeframe is selected When the AI dashboard generates recommendations Then the host can view at least three actionable suggestions specific to the selected window and export them in CSV format
Predictive analytics accuracy validation
Given the selected timeframe and historical engagement data When the AI processes the window Then the predictive analytics displayed must match test dataset results within a 5% accuracy margin
Performance under high load
Given multiple hosts are using Focus Lens concurrently When several timeframe selections are made by different users Then the AI dashboard updates for each selection within 3 seconds and system latency does not exceed a 10% increase

Layer Control

Enables users to toggle individual engagement layers—chat, polls, and Q&A—on or off within the heatmap. This selective filtering clarifies which interaction type drives peak engagement, helping hosts tailor content and moderation strategies to each engagement channel.

Requirements

Chat Layer Toggle
"As a host, I want to toggle the chat layer on the engagement heatmap so that I can focus on chat participation without distraction from other layers."
Description

Implement a toggle control that allows hosts to enable or disable the chat engagement layer on the heatmap. When activated, the chat layer highlights real-time message frequency and sentiment, and when deactivated, it removes chat data points to reduce visual clutter. This feature integrates seamlessly with the existing map rendering engine, updates instantly without page refresh, and provides clearer analysis of non-chat interactions when chat is hidden. Expected outcome includes improved focus on specific engagement types and faster insight generation.

Acceptance Criteria
Enabling Chat Layer Displays Real-Time Chat Data
Given the host is viewing the heatmap, when they toggle the chat layer on, then within 1 second chat messages appear overlaid with color-coded sentiment indicators corresponding to each message tone.
Disabling Chat Layer Removes All Chat Data Points
Given the chat layer is active on the heatmap, when the host toggles it off, then all chat-related data points and sentiment overlays are removed within 1 second.
Instant Toggle Without Page Refresh
Given the host toggles the chat layer state, when the control is activated, then the heatmap updates dynamically without triggering a page refresh.
Independent Control Alongside Other Layers
Given the chat, poll, and Q&A layers are available, when the host toggles the chat layer on or off, then the polling and Q&A layers retain their current visibility states.
Accurate Representation Under High Message Volume
Given a high chat message rate (>100 messages per minute), when the chat layer is enabled, then the heatmap accurately aggregates message density and sentiment without performance degradation (>2 seconds response time).
Polls Layer Toggle
"As a host, I want to toggle the polls layer on the engagement heatmap so that I can isolate poll response activity and adjust my presentation accordingly."
Description

Provide a dedicated toggle button for the polls layer that turns poll response data on or off within the heatmap overlay. Enabling this control displays heatmap areas corresponding to poll participation metrics such as response count and response time, while disabling it hides all poll-related visual elements. The implementation will leverage existing data feeds and UI components to ensure consistency, instant state change, and minimal performance impact. This enhancement aids hosts in isolating poll-driven engagement and tailoring session pacing.

Acceptance Criteria
Host Activates Polls Layer in Heatmap View
Given the host is viewing the session heatmap with the polls layer toggle off When the host clicks the polls layer toggle to on Then the heatmap overlay displays poll response data areas correctly colored and sized according to response count And the display updates within 200ms of toggle activation
Host Deactivates Polls Layer in Heatmap View
Given the host is viewing the session heatmap with the polls layer toggle on When the host clicks the polls layer toggle to off Then all poll-related visual elements are removed from the heatmap And no residual poll data is visible on the overlay
Toggle State Persists Across Page Refreshes
Given the host has set the polls layer toggle to a specific state When the host refreshes or navigates away and back to the heatmap view Then the polls layer toggle retains its last set state (on or off) And the heatmap reflects that state correctly upon reload
Rapid Toggle Changes Maintain UI Stability
Given the host rapidly toggles the polls layer on and off multiple times within 5 seconds When each toggle action occurs Then the UI remains responsive without visual glitches or errors And each toggle reliably shows or hides poll data within 300ms
Performance Under High Poll Volume
Given a session with over 1,000 poll responses When the host enables the polls layer toggle Then the heatmap renders poll data without degrading overall page load time by more than 10% And frame rate remains above 30fps during interaction
Q&A Layer Toggle
"As a host, I want to toggle the Q&A layer on the engagement heatmap so that I can measure audience question activity independently."
Description

Add a toggle functionality for the Q&A engagement layer, enabling hosts to filter out or include audience question and answer interactions on the heatmap. When enabled, it plots Q&A submission frequencies and response times; when disabled, it removes these markers. The feature will integrate with the event’s real-time data stream, update the visualization dynamically, and maintain synchronization with other layer controls. This capability helps hosts analyze question-driven engagement and optimize moderation workflows.

Acceptance Criteria
Enabling Q&A Layer During Live Event
Given the host is viewing the event heatmap, when they toggle the Q&A layer control to 'On', then Q&A submission markers appear on the heatmap within two seconds, displaying submission frequency and response time data.
Disabling Q&A Layer During Live Event
Given the Q&A layer is currently enabled on the heatmap, when the host toggles the Q&A layer control to 'Off', then all Q&A markers are removed from the heatmap within two seconds.
Synchronizing Q&A Layer with Other Engagement Layers
Given multiple engagement layers are in use, when the host changes the Q&A layer state, then the heatmap updates to reflect only the selected layers without delay or data inconsistency.
Real-Time Q&A Data Stream Integration
Given new Q&A interactions occur, when the Q&A layer is enabled, then new submission markers appear on the heatmap within three seconds of receipt from the real-time data stream.
Accurate Response Time Display for Q&A
Given a Q&A interaction has occurred, when the Q&A layer is enabled, then each marker displays a tooltip showing the time elapsed between question submission and host response, accurate to within five seconds.
Multi-Layer Filtering
"As a host, I want to filter multiple engagement layers at once so that I can compare how different interaction types overlap and influence overall engagement."
Description

Create a filtering panel that allows hosts to apply multiple layer toggles simultaneously, combining or excluding chat, polls, and Q&A data in any combination. The panel should offer checkboxes for each engagement type, instantly updating the heatmap visualization when selections change. It will reuse the underlying toggle mechanisms and provide clear visual feedback for active filters. The result is a comprehensive view of cross-channel engagement patterns and the ability to perform targeted analysis.

Acceptance Criteria
Applying Multiple Filters Simultaneously
Given the host opens the filtering panel When the host selects the checkboxes for Chat and Q&A Then the heatmap displays only engagement points from chat and Q&A, excluding polls.
Clearing All Filters
Given multiple layer filters are active When the host unchecks all engagement layer checkboxes Then the heatmap resets to show all engagement data across chat, polls, and Q&A.
Toggling Individual Layers
Given the filtering panel is displayed When the host toggles the Polls checkbox off Then polling engagement points are instantly removed from the heatmap while other layers remain visible.
Filter State Persistence
Given the host refreshes the dashboard page after selecting engagement layer filters When the dashboard reloads Then the previously selected filter states are maintained and the heatmap reflects those selections.
Visual Feedback for Active Filters
Given one or more engagement layer filters are active When viewing the filtering panel Then each active filter’s checkbox is visually highlighted and a summary label displays the active layers above the panel.
Filter Presets Management
"As a host, I want to save custom filter presets so that I can quickly apply my preferred layer combinations without reconfiguring manually each session."
Description

Develop a presets feature enabling hosts to save, name, and quickly switch between frequently used layer filter combinations. The system will store preset configurations in the user’s account, display them in a dropdown menu, and apply the selected preset to the heatmap with a single click. This requires backend support for user-specific settings and integration with the filter panel UI. Expected benefits include streamlined workflow and faster access to preferred analysis views.

Acceptance Criteria
Creating a New Filter Preset
Given a host has selected a combination of engagement layers on the filter panel When the host clicks the 'Save Preset' button and enters a unique preset name Then the system saves the preset to the host's account And the new preset appears in the presets dropdown menu
Applying an Existing Filter Preset
Given one or more presets exist in the presets dropdown When the host selects 'Preset A' from the dropdown and clicks 'Apply' Then the filter panel updates to match the layers defined in 'Preset A' And the heatmap refreshes to display data according to the applied preset
Renaming a Filter Preset
Given an existing preset appears in the dropdown menu When the host selects the preset, chooses 'Rename', and enters a new valid name Then the system updates the preset's name in the dropdown And the change persists after page reload
Deleting a Filter Preset
Given an existing preset appears in the dropdown menu When the host selects the preset and clicks 'Delete' Then the system prompts for confirmation And upon confirmation, removes the preset from the dropdown And the preset no longer appears after logout and login
Persistence of Filter Presets Across Sessions
Given the host has saved multiple presets When the host logs out and logs back in Then all previously saved presets remain available in the dropdown And selecting each preset applies its configured layers correctly
Responsive UI Integration
"As a host on a mobile device, I want to use the layer control interface comfortably so that I can manage engagement layers from any location."
Description

Ensure the layer control interface is fully responsive across desktop and mobile devices, maintaining usability and visual clarity. The toggle buttons, filter panel, and presets menu will adapt to different screen sizes, collapse into a mobile-friendly dropdown on smaller viewports, and preserve touch-friendly spacing. Implementation will leverage the existing responsive design framework and include thorough testing on major browsers and devices. This improves accessibility and host experience in varied event setups.

Acceptance Criteria
Desktop Toggle Interaction
Given user on desktop viewport >1024px When user clicks a layer toggle Then the corresponding layer shows or hides within 200ms, the toggle icon updates state, and the filter panel layout remains intact
Mobile Dropdown Access
Given user on mobile viewport <480px When user taps the layer control button Then a dropdown displays chat, polls, and Q&A toggles with ≥44px tap targets and ≥8px spacing, and tapping outside closes the dropdown
Cross-Browser Responsiveness
Given user on Chrome, Firefox, Safari, and Edge When window is resized or device orientation changes Then the layer control adapts without layout breaks, all toggles remain visible and functional
Touch Spacing Verification
Given user on a touchscreen device with viewport ≤768px Then each toggle and button has a minimum 44px tap target and 8px margin to prevent mis-taps
Presets Menu Collapse Behavior
Given presets menu on viewport <600px When user opens presets Then menu collapses into a dropdown, list items are scrollable, selection persists, and dropdown remains accessible

Compare View

Offers a side-by-side display of heatmaps from multiple sessions or attendee segments. By visually comparing engagement patterns, marketing managers can identify effective formats and topics, benchmark performance across events, and apply best practices to future sessions.

Requirements

Multi-Session Selection
"As a marketing manager, I want to select and compare multiple session heatmaps side by side so that I can identify high-performing topics and formats."
Description

Enable users to select and load multiple event sessions or attendee segments for side-by-side heatmap comparison. It integrates with the session management system, offers search, filtering, and selection controls, and ensures seamless retrieval of engagement data for each chosen session. This requirement ensures marketing managers can quickly assemble relevant datasets to identify trends across events.

Acceptance Criteria
Session Search and Selection
Given the user is on the Compare View page and the session management system is loaded, when the user enters a keyword in the session search field and applies a date filter, then the search results display only sessions matching the criteria, the user can select multiple sessions by checking their boxes, and each selected session appears in the Compare View panel.
Attendee Segment Filtering and Selection
Given the user is in the session selection interface, when the user applies an attendee segment filter (e.g., Beta Testers), then the available session list updates to show only sessions attended by that segment, and the user can select one or more segments or sessions, with each selection immediately reflected in the Compare View.
Multiple Sessions Data Retrieval and Loading
Given the user has selected up to five sessions for comparison, when the user confirms their selection, then the system retrieves engagement data for each session, renders each heatmap side by side within three seconds, and standardizes color scales across all heatmaps for accurate comparison.
Exceeding Selection Limit Handling
Given the user has already selected five sessions and attempts to select a sixth, when the user clicks the selection control, then the system prevents the selection, displays the error message 'Maximum of 5 sessions can be compared at once', and retains the existing selection set.
Session Deselection and View Update
Given the user has multiple sessions selected in the Compare View panel, when the user deselects a session by unchecking its selection box, then the corresponding heatmap is removed from the display, the remaining heatmaps reflow evenly, and the UI updates the selection count accordingly.
Dynamic Heatmap Rendering
"As a marketing manager, I want dynamic side-by-side heatmaps with consistent scales and interactive elements so that I can accurately compare engagement patterns."
Description

Render synchronized side-by-side heatmaps with aligned time axes, normalized color scales, and interactive tooltips. The system should dynamically adjust visuals based on user selections, maintain performance, and provide hover details for each time interval to facilitate accurate comparisons.

Acceptance Criteria
Synchronized Time Axis Alignment
Given two or more sessions are selected, when the compare view loads, then their heatmaps display with a common time axis scale ensuring that identical time intervals align perfectly across all heatmaps.
Normalized Color Scale Consistency
Given different sessions with varying engagement intensities, when the heatmaps are rendered, then the color scale is normalized across all views so that identical engagement levels use the same color gradient.
Interactive Tooltip Display
Given the user hovers over any time interval on a heatmap, when the tooltip appears, then it shows the exact timestamp, engagement metric value, and session identifier within 200 milliseconds of the hover action.
Dynamic Visual Adjustment on User Selection
Given the user modifies session or attendee segment selections, when the selection changes, then the heatmaps update dynamically within 1 second without requiring a full page reload.
Performance Under Large Data Sets
Given a comparison of up to 10 sessions with high-resolution data, when rendering the compare view, then the initial render time does not exceed 3 seconds and interactive updates do not exceed 1 second.
Segmented Comparison Filters
"As a marketing manager, I want to filter and compare heatmaps by attendee demographics so that I can tailor content strategies for different audience segments."
Description

Provide advanced filters to compare heatmaps by attendee segments such as role, region, or engagement level. This integrates with the user segmentation engine and allows simultaneous display of multiple segment-specific heatmaps, helping users derive tailored insights for different audience groups.

Acceptance Criteria
Role-based Heatmap Comparison
Given the user is in Compare View with attendee roles segmented, when the user selects two or more roles from the role filter, then the system displays side-by-side heatmaps for each selected role with distinct color coding and a corresponding legend.
Region-based Heatmap Comparison
Given the user is viewing session analytics, when the user applies region filters for North America and Europe, then two heatmaps are rendered side-by-side labeled with ’North America’ and ’Europe’, each showing accurate region-specific engagement hotspots.
Engagement-level Heatmap Comparison
Given attendees are segmented by engagement level (high, medium, low), when the user chooses two engagement tiers from the engagement filter, then matching time scales and intensity scales are applied and separate heatmaps for each tier are displayed side-by-side.
Multi-criteria Heatmap Comparison
Given the segmentation engine supports multi-dimensional filtering, when the user applies both role and region filters and selects one combination per axis, then the Compare View shows corresponding heatmaps side-by-side and clearly indicates the applied role and region segments.
Exporting Segment Comparison Heatmaps
Given a segmented comparison view is displayed, when the user clicks ‘Export’ and selects image or PDF format, then the exported file includes all side-by-side heatmaps with titles, segment labels, timestamps, and preserves on-screen layout and color coding.
Export Comparison Reports
"As a marketing manager, I want to export heatmap comparisons so that I can share analytics with stakeholders for collaborative decision-making."
Description

Allow users to export their comparison view as a downloadable PDF or CSV, including heatmap snapshots, session metadata, and differential highlights. The feature should generate a formatted report that stakeholders can review, share, and archive for future reference.

Acceptance Criteria
PDF Export for Comparison View
Given a user has selected two or more sessions or attendee segments in the Compare View, When they click the 'Export as PDF' button, Then a PDF file is generated containing side-by-side heatmap snapshots, session titles, dates, segmentation labels, and highlighted differences between the heatmaps, and the file name follows the format 'PulseMeet_Comparison_Report_<timestamp>.pdf'.
CSV Export for Comparison Data
Given a user has selected sessions in the Compare View, When they click 'Export as CSV', Then a CSV file is downloaded with rows representing timestamps, heatmap intensity values for each session or segment, session metadata columns (session ID, name, date), and a column indicating the difference in engagement values, using comma delimiters.
Differential Highlights Included in Report
Given a user includes at least two sessions in the Compare View, When exporting (PDF or CSV), Then the report visually marks cells or regions where the engagement difference exceeds 10% with distinct color highlights or bold formatting in the PDF and includes a 'diff_highlight' boolean column in the CSV.
Session Metadata Appears in Exports
Given a user generates an export, When the report is opened, Then it displays for each session the session title, date and time, presenter name, and total attendee count, correctly aligned with the corresponding heatmap data.
Export Process Error Handling
Given a user attempts to export with fewer than two sessions selected, When they click an export button, Then the system displays a warning 'Please select at least two sessions to compare before exporting.' and no file is generated; and if an export fails due to a server error, a retry option is presented.
Responsive Layout Adaptation
"As a marketing manager, I want the comparison view to adapt to different screen sizes so that I can review insights on any device."
Description

Ensure the compare view layout automatically adapts to different screen sizes and orientations. Implement a responsive grid that adjusts the number of columns, scales heatmaps, and maintains readability on desktop, tablet, and mobile devices.

Acceptance Criteria
Desktop Multiple Columns Display
Given a desktop viewport wider than 1200px, when the Compare View is loaded, then the grid displays up to four heatmaps side-by-side without overlap, each heatmap scales to fill equal column width, and all text and markers render at or above a 14px font size to ensure readability.
Tablet Landscape Dual Column
Given a tablet in landscape orientation with viewport width between 900px and 1200px, when the Compare View is displayed, then the layout adapts to two columns, each heatmap scales proportionally, horizontal scrolling is disabled, and visual elements maintain their aspect ratio.
Tablet Portrait Single Column
Given a tablet in portrait orientation with viewport width between 600px and 900px, when the user opens Compare View, then the grid switches to a single column, each heatmap scales to full width, touch interactions remain smooth, and font sizes adjust to at least 12px.
Mobile Portrait Scrollable View
Given a mobile device with viewport width below 600px, when Compare View is accessed, then the layout displays a single-column vertical scroll, each heatmap scales to 100% width of the viewport, interactive hotspots and tooltips remain fully accessible, and no horizontal scrolling is required.
Orientation Change Responsiveness
Given any device orientation change, when the user rotates the device, then the Compare View recalculates the grid layout and reflows content within 300ms, preserving heatmap readability and preventing layout overlap or glitches.
Real-Time Data Synchronization
"As a marketing manager, I want real-time data synchronization in my compare view so that I can make timely decisions during live events."
Description

Implement real-time or on-demand data refresh for the comparison view to display the latest engagement metrics from ongoing sessions. The system should push updates without requiring a full page reload, ensuring users always see up-to-date information.

Acceptance Criteria
Automatic Real-Time Updates During Live Sessions
Given the user has Compare View open and sessions are live, When new engagement data arrives on the server, Then the UI updates the heatmap within 2 seconds without a full page reload, no duplicate data points appear, and a visual indicator confirms the update.
Manual On-Demand Data Refresh
Given the user is viewing Compare View and clicks the refresh icon, When the refresh action is triggered, Then the latest metrics are fetched from the server and heatmaps update within 3 seconds, and a loading spinner displays only around the affected components.
Efficient Data Streaming with Large Participant Volumes
Given sessions with over 10,000 participants, When continuous real-time data is flowing, Then the UI remains responsive with update latency under 5 seconds, memory use does not exceed 200 MB, and CPU usage remains under 50%.
Seamless Engagement Metric Sync When Switching Segments
Given the user selects a different attendee segment for comparison, When the segment changes, Then the Compare View updates data in real time within 2 seconds and displays the correct segment data without requiring a manual refresh.
Offline and Reconnection Handling
Given the user loses network connectivity in Compare View, When the connection is lost, Then the UI displays an offline banner and caches view state; When the connection is restored, Then the view automatically syncs missing data within 5 seconds and the banner disappears.

Spike Notes

Automatically annotates top engagement peaks with context-rich insights, including the number of interactions, active participants, and correlating activities (e.g., poll launches or Q&A bursts). These annotations streamline post-event debriefs and highlight opportunities for content refinement.

Requirements

Peak Detection Algorithm
"As an event host, I want the system to automatically detect high-engagement moments so that I can respond in real time and later review the most dynamic parts of my session."
Description

Implement an automated algorithm that scans real-time engagement data (poll responses, Q&A submissions, chat messages) to identify significant spikes in audience activity. The algorithm should support configurable thresholds, smoothing functions to filter noise, and prioritization of spikes by magnitude. It integrates with PulseMeet’s AI-powered dashboard to trigger annotations instantly during live sessions and archives detected peaks for post-event analysis. This requirement ensures hosts have immediate visibility into high-impact moments, enabling agile content adjustments and data-driven debriefs.

Acceptance Criteria
Real-Time Detection Trigger
Given live engagement data is streaming into the system when a spike threshold is crossed for poll responses, Q&A submissions, or chat messages then the algorithm must detect the spike and send an annotation event to the dashboard within 2 seconds.
Configurable Threshold Adjustment
Given an admin updates the spike detection threshold in the dashboard settings when the change is saved then the algorithm must apply the new threshold to subsequent real-time data without requiring a system restart.
Noise Filtering via Smoothing Functions
Given raw engagement data containing minor fluctuations when the smoothing function is enabled then the algorithm must suppress spikes below the defined noise filter level and only report significant peaks above the noise threshold.
Spike Prioritization by Magnitude
Given multiple spikes are detected in a short time window when spikes are sent to the dashboard then they must be ordered by highest engagement magnitude first and displayed in descending order within the annotation panel.
Archival of Detected Peaks for Post-Event Analysis
Given live session ends when archived data is saved then all detected peaks with timestamps, interaction counts, and associated events must be stored in the event database and accessible via the post-event analytics interface.
Contextual Insights Aggregation
"As a marketing manager, I want detailed context around engagement peaks so that I can understand audience drivers and optimize future session content."
Description

Aggregate and correlate rich metadata for each identified engagement spike, including total interactions, unique active participants, time stamps, and concurrent activities (e.g., poll launches or Q&A bursts). The system should enrich annotations with AI-generated summaries that explain possible causes and patterns. These insights seamlessly integrate into Spike Notes, allowing hosts to understand the ‘why’ behind each peak and inform content refinement strategies.

Acceptance Criteria
Engagement Spike Data Aggregation
Given an engagement spike is identified in a live session, when metadata is collected, then the system aggregates total interactions, unique active participants, timestamps, and concurrent activity indicators with at least 99% data accuracy.
Concurrent Activity Correlation
Given a detected engagement spike coincides with other session events, when the system analyzes concurrent activities, then it correlates and lists poll launches and Q&A bursts occurring within a five-second window of the spike.
AI-Generated Insight Summaries
Given aggregated metadata for a spike is available, when the AI module processes the data, then it produces a concise, context-rich summary explaining potential causes and patterns, referencing at least two correlated metrics, within three seconds of request.
Spike Notes Integration Verification
Given enriched spike annotations are created, when a host views Spike Notes in the post-event dashboard, then each annotation displays the full metadata and AI-generated summary in the correct chronological order.
Data Accuracy and Completeness Validation
Rule: For every identified spike, the system must populate non-null values for total interactions, unique participants, timestamp, and concurrent activity list; if any field is missing, an error log entry is generated and flagged for review.
Real-Time Annotation Overlay
"As a session moderator, I want to see annotated engagement peaks in real time on my dashboard so that I can address hot topics and adjust pacing on the fly."
Description

Develop a UI component that overlays Spike Notes annotations directly on the live session timeline within the PulseMeet dashboard. Each annotation should display concise peak summaries, interactive drill-down options, and highlight linked activities on hover. The overlay must update live without interrupting the host’s workflow, ensuring seamless visibility of critical moments and fostering immediate situational awareness.

Acceptance Criteria
Live Annotation Display Activation
Given a host is viewing an active session timeline, When an engagement peak is detected, Then a concise annotation overlay appears at the correct timeline position showing peak time, interaction count, and active participants without requiring a page reload; Given the host toggles annotations off, When they click the 'Annotations' toggle, Then all overlays hide immediately.
Interactive Drill-Down on Hover
Given an annotation is displayed on the timeline, When the host hovers over it, Then the annotation expands into a tooltip showing linked activity details (e.g., poll launch, Q&A burst); Given the host clicks an activity link within the expanded annotation, When they select a detail, Then the dashboard focuses on or highlights the associated event context.
Seamless Real-Time Updates
Given the live session is ongoing, When new engagement peaks occur, Then their annotations appear on the timeline within 2 seconds without disrupting the host’s current view or interactions; And no manual refresh is required.
Performance Under Load
Given a high-frequency event session with 10+ peaks per minute, When annotations are generated rapidly, Then the overlay renders each annotation correctly without dropping below 30fps and UI responsiveness remains unaffected.
Annotation Context Visibility
Given the host zooms or scrolls the live session timeline, When they navigate to any time window, Then annotations remain anchored to their correct time positions and are accessible via hover, ensuring context is retained regardless of timeline adjustments.
Post-Event Summary Export
"As a marketing analyst, I want to export annotated peak data so that I can share insights with stakeholders and integrate results into our reporting tools."
Description

Enable hosts to generate and export a comprehensive debrief report post-event, containing annotated engagement peaks with all contextual insights. The export formats should include PDF for stakeholder presentations and CSV/JSON for data analysis in BI tools. The report should be customizable—allowing selection of specific sessions, date ranges, and annotation types—to facilitate efficient sharing and archiving of event performance data.

Acceptance Criteria
Generate PDF Summary for Single Session
Given the host selects a single session and 'PDF' as the export format When the host initiates the export Then the generated PDF includes session metadata (title, date), all annotated engagement peaks with interaction counts and correlation details, and a timestamped export summary.
Export CSV Data for Multiple Sessions
Given the host selects multiple sessions and 'CSV' as the export format When the host initiates the export Then the generated CSV file contains rows for each engagement peak including session ID, timestamp, interaction count, annotation type, and participant count.
Customize Annotation Types
Given the host configures the export to include only selected annotation types (e.g., polls, Q&A) When the host saves the configuration and exports Then the report contains annotations solely of the chosen types, excluding all others.
Validate JSON Export Structure
Given the host selects 'JSON' as the export format When the export completes Then the JSON file adheres to the defined schema with fields sessionId, timestamp, interactionCount, annotationType, activeParticipants, and contextualDetails.
Apply Date Range Filter
Given the host sets a custom date range for the export When the host initiates the export Then the report includes only sessions and engagement peaks that occurred within the specified date range.
Customizable Annotation Settings
"As an event planner, I want to configure engagement thresholds and annotation details so that Spike Notes aligns with different session goals and audience sizes."
Description

Provide user settings that allow hosts to customize Spike Notes parameters, including minimum engagement thresholds for detection, types of activities to correlate (polls, Q&A, chat), and annotation display preferences. Settings should be saved per event template and accessible in the dashboard configuration panel. This flexibility ensures the feature adapts to varying event formats and audience behaviors.

Acceptance Criteria
Adjust Minimum Engagement Threshold
Given the host opens the Spike Notes settings panel When they set the minimum engagement threshold to a value between 1 and 100 interactions Then the system accepts the input only if it is an integer within the allowed range And the new threshold is applied to detect engagement peaks in real time
Select Activity Types for Correlation
Given the host views activity type options in the settings When they toggle on or off Polls, Q&A, and Chat Then only the selected activity types are used when annotating engagement peaks And the UI reflects the current selection state correctly
Customize Annotation Display Preferences
Given the host accesses display customization options When they choose annotation color, font size (12–24px), and chart position Then a live preview updates within one second to reflect the changes And the chosen display preferences are saved upon confirmation
Save Settings to Event Template
Given the host has configured custom annotation settings When they click “Save as Template” and enter a template name Then the system creates or updates the event template with these settings And the template appears in the event template list for future use
Load Saved Settings in Dashboard Panel
Given the host creates a new event using a saved template When they open the dashboard configuration panel Then the system automatically populates the Spike Notes settings with the template’s custom parameters And the loaded settings can be further edited or saved again

Snapshot Builder

Provides one-click export of customized heatmap visuals—complete with annotations, legends, and brand themes—into high-resolution images or PDF summaries. This feature accelerates report generation and empowers users to share polished engagement highlights with stakeholders.

Requirements

Custom Heatmap Export
"As a marketing manager, I want to export customized heatmap visuals with annotations and brand themes so that I can quickly share polished engagement reports with stakeholders."
Description

Enable users to export heatmap visuals with one click, incorporating selected annotations, legends, and brand themes. This export functionality should generate high-resolution PNG or PDF files that maintain graphical fidelity and brand consistency. The implementation must integrate with the existing dashboard UI, offering customizable export options and ensuring quick processing times for large datasets.

Acceptance Criteria
Default Heatmap Export
Given the user is viewing a heatmap on the dashboard with default settings When the user clicks the "Export Heatmap" button Then the system generates and downloads a high-resolution PNG file with default annotations, legend, and brand theme within 5 seconds.
Custom Annotations and Brand Theme Export
Given the user has selected specific annotations and a custom brand theme When the user clicks the "Export Heatmap" button Then the downloaded file reflects the selected annotations and brand theme, preserving their visual styling and includes the legend.
Format Selection Export
Given the user selects the desired file format (PNG or PDF) from the export options When the user clicks the "Export Heatmap" button Then the downloaded file is in the chosen format and opens correctly in standard image or PDF viewers.
Large Dataset Export Performance
Given the user is exporting a heatmap generated from a dataset exceeding 10,000 data points When the user initiates the export Then the system completes the export and initiates the download within 10 seconds without timing out or crashing.
Export File Integrity and Resolution
Given the user downloads the exported file When the user opens the file Then the heatmap image maintains at least 300 DPI resolution, graphical fidelity without pixelation, and all annotations and legends are legible.
Annotation Overlay Controls
"As an event host, I want to annotate key areas of the heatmap so that I can highlight important engagement insights in my reports."
Description

Provide interactive controls for users to add, edit, and remove annotations on the heatmap before export. Annotations should support text labels, arrows, and shapes, with options to customize color, size, and position. The feature must seamlessly integrate into the snapshot builder UI, persisting annotation metadata for future edits.

Acceptance Criteria
Adding Text Annotation
Given a user on the snapshot builder with a loaded heatmap, when the user selects the 'Add Text' tool, enters text, chooses color, size, and clicks 'Apply', then the annotation should appear at the specified position with the chosen properties and be listed in the annotation panel.
Editing Existing Annotation
Given an existing annotation on the heatmap, when the user selects the annotation and modifies its text, color, size, or position, then the changes should immediately reflect on the heatmap and update the annotation metadata accordingly.
Removing Annotation
Given one or more annotations present on the heatmap, when the user selects an annotation and clicks the 'Delete' control, then the annotation should be removed from both the heatmap and the annotation panel.
Persisting Annotations for Future Edits
Given annotations added to a heatmap, when the user saves the snapshot or exits and later reopens the builder, then all annotations with their properties and positions should be loaded and available for further editing.
Exporting Annotated Heatmap
Given a heatmap with annotations applied, when the user exports via PDF or high-resolution image, then all annotations must be accurately rendered in the exported file, matching the on-screen display in color, size, and placement.
Brand Theme Application
"As a marketing manager, I want to apply my company’s brand theme to exported snapshots so that all reports align with corporate branding guidelines."
Description

Allow users to apply predefined brand themes or custom color palettes to exported snapshots. Themes should include logo placement, color schemes, font choices, and header/footer templates. The system must store multiple theme profiles per user and apply them dynamically during export, ensuring brand alignment in every report.

Acceptance Criteria
Applying a predefined brand theme during export
Given a user selects a predefined brand theme "BlueTech" in the theme picker When the user clicks "Export Snapshot" Then the generated PDF or image uses the exact color scheme, fonts, and header/footer templates defined in "BlueTech" And the logo is placed according to the theme’s specified position
Applying a custom color palette during export
Given a user uploads a custom color palette and defines a new theme name "MyCustom" When the user saves and then exports a snapshot using "MyCustom" Then the export applies the user’s custom colors, selected fonts, and header/footer settings And the generated file matches the user-defined color hex codes within a 1% variance
Switching between multiple saved theme profiles
Given a user has three saved theme profiles When the user selects theme "Alpha", exports a snapshot, then selects theme "Beta" and exports again Then each export reflects the correct theme’s settings And the system persists the last-used theme so the next export defaults to "Beta"
Rendering logo placement and templates in export
Given a theme profile specifies logo placement at top-right and a custom footer message When the user exports the snapshot Then the logo appears at the top-right corner at 100x50 pixels And the footer message appears with the correct font style and size
Generating high-resolution themed output
Given a user selects "High-Resolution PDF (300 DPI)" format When the user exports a themed snapshot Then the output file has at least 300 DPI resolution And all theme elements (colors, fonts, logos, templates) render sharply without pixelation
High-Resolution Output Optimization
"As a presenter, I want high-resolution exports of my heatmap and Q&A data so that the final report looks crisp and professional even on large displays."
Description

Optimize the snapshot generation engine to produce high-resolution images or PDFs without loss of clarity. This includes scaling vector elements, embedding fonts, and compressing assets efficiently. The solution should support exports up to 4K resolution and multi-page PDF summaries for longer events, ensuring professional-quality deliverables.

Acceptance Criteria
4K Image Export Stability
Given a user selects a 4K image export, when the snapshot is generated, then the resulting image is exactly 3840×2160 pixels with no pixelation or blurring.
Multi-Page PDF Assembly
Given an event summary spans multiple pages, when exporting as a PDF, then all pages are included in correct sequence with consistent legends, annotations, and brand themes.
Vector Element Scaling Accuracy
Given vector-based charts and icons in the snapshot, when scaled to high-resolution output, then no graphical distortion occurs and all elements remain sharp and proportionally accurate.
Embedded Font Integrity
Given custom brand fonts selected by the user, when exporting images or PDFs, then the output embeds all fonts correctly and displays them consistently on different operating systems and devices.
File Size and Compression Efficiency
Given a high-detail snapshot with multiple images and vector assets, when exporting to 4K image or multi-page PDF, then the file size does not exceed defined thresholds (e.g., ≤20MB for images, ≤5MB per PDF page) without perceptible quality loss.
Batch Export Scheduling
"As a marketing coordinator, I want to schedule batch exports of session snapshots so that I can automate report generation and focus on analysis tasks."
Description

Implement a scheduling utility that enables users to queue multiple snapshot exports and receive notifications upon completion. Users can select different sessions, apply distinct themes, and schedule exports for off-peak hours. The feature must integrate with the notification system and provide progress tracking in the user dashboard.

Acceptance Criteria
Off-Peak Batch Scheduling Scenario
Given the user has selected multiple sessions and configured export settings, When the user schedules the exports for an off-peak time, Then the system queues the jobs correctly for the specified time and displays a confirmation message.
Distinct Theme Application Scenario
Given the user assigns different brand themes to each scheduled export, When the batch export job executes, Then each exported image or PDF reflects its assigned theme, including annotations and legends.
Dashboard Progress Tracking Scenario
Given the user navigates to the dashboard during a batch export run, When the exports are in progress, Then the dashboard shows real-time progress indicators for each export job, including percentage complete and current status.
Export Completion Notification Scenario
Given a scheduled batch export completes, When all exports finish or encounter errors, Then the system sends the user a notification listing completed exports, any failures, and provides direct download links.
Cancel or Reschedule Batch Export Scenario
Given a batch export is scheduled and pending execution, When the user cancels or reschedules it, Then the system updates the job accordingly, prevents execution at the original time, and confirms the change to the user.

Tiered Spotlight

Automatically triggers different levels of sponsor shoutouts as attendee engagement reaches predefined milestones, ensuring sponsors receive visibility proportional to audience interaction and keeping the experience dynamic.

Requirements

Engagement Milestone Configuration
"As an event host, I want to configure engagement milestones and assign shoutout tiers so that sponsors receive appropriate visibility based on attendee interaction."
Description

Provide hosts with an interface to define multiple attendee engagement milestones (e.g., number of poll responses, chat messages, Q&A upvotes) and assign corresponding sponsor shoutout tiers for each milestone. The feature should allow creating, editing, and deleting milestone thresholds and associate different levels of shoutout visibility to sponsors automatically as milestones are reached.

Acceptance Criteria
Creating a New Engagement Milestone
Given the host is on the Milestone Configuration page, when they enter a milestone name, set a threshold value, select a sponsor shoutout tier, and click 'Save', then the new milestone is added to the list with the correct name, threshold, and tier visible.
Editing an Existing Milestone Configuration
Given the host views an existing milestone in the configuration list, when they click 'Edit', change the threshold or shoutout tier, and save, then the updated milestone reflects the new threshold and tier without creating a duplicate entry.
Deleting an Engagement Milestone
Given the host views the list of milestones, when they select a milestone and click 'Delete' and confirm, then the milestone is removed from the list and no longer triggers sponsor shoutouts.
Triggering Sponsor Shoutout on Milestone Achievement
Given a live session is ongoing, when attendee engagement surpasses a configured milestone threshold, then the system automatically triggers the corresponding sponsor shoutout tier and logs the event in the session activity feed.
Viewing Configured Milestones List
Given the host navigates to the Milestone Configuration page, when the page loads, then all created milestones are displayed in a sortable table showing names, thresholds, and shoutout tiers.
Real-time Engagement Tracking
"As an event host, I want attendee engagement metrics tracked in real time so that sponsor shoutouts trigger precisely at the right engagement levels."
Description

Implement a system to capture and aggregate live engagement data, including poll participation, chat messages, and Q&A interactions, updating counts in real time. This tracking must be reliable, low-latency, and seamlessly integrated with the PulseMeet session, ensuring accurate milestone detection and supporting dynamic host decision-making.

Acceptance Criteria
Poll Participation Capture
Given a live poll is active When an attendee submits a vote Then the system records the vote within 1 second and updates the poll count accordingly
Chat Message Aggregation
Given attendees send chat messages When a message is posted Then the message is captured, timestamped, and visible in the host dashboard within 1 second
Q&A Interaction Logging
Given the Q&A module is enabled When an attendee submits a question Then the question is logged with user metadata and displayed in the real-time feed within 2 seconds
Milestone Detection and Trigger
Given engagement counts reach a predefined milestone When the threshold is crossed Then the corresponding sponsor shoutout level triggers automatically without manual intervention
Low-Latency Data Update Under Load
Given 1,000 concurrent attendees interacting When simultaneous engagement events occur Then all events are processed with end-to-end latency under 2 seconds and no data loss
Automated Shoutout Trigger
"As an event host, I want sponsor shoutouts to trigger automatically at engagement milestones so that I can focus on content delivery rather than manual shoutout management."
Description

Develop a mechanism that automatically fires sponsor shoutouts when predefined engagement milestones are hit. The trigger should execute predefined actions—such as displaying sponsor logos, playing sponsor messages, and notifying the host—without manual intervention, ensuring timely and consistent sponsor recognition throughout the event.

Acceptance Criteria
Tier 1 Shoutout on 25% Engagement
Given attendee engagement reaches 25% of the event capacity When the threshold is met Then the system automatically displays the tier 1 sponsor logo, plays the sponsor’s audio message, and sends a host notification within 5 seconds
Tier 2 Shoutout on 50% Engagement
Given attendee engagement reaches 50% of the event capacity When the threshold is met Then the system automatically displays the tier 2 sponsor logo, plays the sponsor’s audio message, and sends a host notification within 5 seconds
Tier 3 Shoutout on 75% Engagement
Given attendee engagement reaches 75% of the event capacity When the threshold is met Then the system automatically displays the tier 3 sponsor logo, plays the sponsor’s audio message, and sends a host notification within 5 seconds
Host Notification Verification
Given a sponsor shoutout is triggered When the system sends the host notification Then the host receives a timestamped notification message in the dashboard within 2 seconds
No Duplicate Shoutouts for Same Milestone
Given a milestone shoutout has been executed When engagement fluctuates above and below the milestone threshold Then the system does not re-trigger the same shoutout more than once per milestone
Customizable Shoutout Content
"As a marketing manager, I want to customize shoutout content for each sponsor tier so that shoutouts align with sponsor branding and messaging."
Description

Allow hosts and sponsors to customize shoutout assets—such as logos, messages, URLs, and media—for each tier. The requirement should support uploading and editing multimedia files, previewing shoutouts in-context, and ensuring sponsor branding guidelines are adhered to in each shoutout display.

Acceptance Criteria
Uploading Custom Shoutout Assets
Given a sponsor on the Shoutout Customization page When they upload a logo file (PNG, JPG) not exceeding 5MB and enter a custom message, URL, and media asset Then the preview panel displays all elements correctly formatted and the host can save without errors
Editing Existing Shoutout Content
Given a host viewing a saved shoutout tier When they click Edit and change the logo, message, or URL Then the updated preview reflects the changes and upon saving the new assets replace the old ones in the tier
Previewing Shoutout in Live Session Context
Given a saved shoutout tier When the host clicks Preview in Context Then the shoutout displays onscreen exactly as it will appear during the live session including timing, layout, and branded elements
Validating Branding Guideline Compliance
Given uploaded assets When the sponsor’s logo color or size deviates from stored branding guidelines Then the system displays a warning and prevents saving until the assets comply
Handling Unsupported File Formats
Given a sponsor attempts to upload a file in an unsupported format (e.g., GIF, TIFF) When they select the file Then the system rejects the upload with an error message listing accepted formats
Sponsor Visibility Analytics
"As a sponsor, I want to see analytics on shoutout performance so that I can measure the impact of my sponsorship investment."
Description

Provide sponsors with post-event analytics detailing shoutout frequency, views, click-through rates, and engagement uplift. The dashboard should correlate each shoutout tier with resulting metrics, offering clear insights on sponsor ROI and enabling data-driven adjustments for future events.

Acceptance Criteria
Sponsor Dashboard Access
Given the sponsor is logged into the PulseMeet analytics dashboard When they navigate to the post-event Sponsor Visibility Analytics section Then they should see a table displaying each shoutout tier with corresponding frequency, total views, click-through rates, and engagement uplift metrics
Filter by Shoutout Tier
Given the sponsor views the analytics dashboard When they apply a filter for a specific shoutout tier Then only the metrics related to that selected tier (frequency, views, CTR, engagement uplift) should be displayed
Export Detailed Sponsor Report
Given the sponsor is reviewing the post-event analytics When they click the “Export Report” button Then a downloadable PDF and CSV should be generated containing all shoutout tiers and their associated metrics
Compare Pre- and Post-Shoutout Engagement
Given the sponsor selects a specific shoutout instance When they view the engagement comparison feature Then the dashboard should display pre-shoutout vs. post-shoutout engagement figures and calculate the uplift as a percentage
Tier Correlation Insights
Given the sponsor examines tier performance When they select the correlation insights view Then the system should graphically represent the relationship between shoutout tier level and resulting engagement metrics

Interactive Sponsor Card

Displays a branded, tappable card on-screen whenever a sponsor shoutout launches, allowing attendees to instantly explore sponsor offers, websites, or contact details without leaving the session.

Requirements

Sponsor Card Display
"As an event attendee, I want to see a branded sponsor card pop up during sponsor shoutouts so that I can immediately recognize and engage with sponsor content without disrupting the session experience."
Description

Implement on-screen rendering of a branded, tappable sponsor card that appears automatically whenever a sponsor shoutout is triggered. The card must support sponsor logos, titles, and a brief tagline, integrating seamlessly with the live session overlay. It should load quickly with minimal performance impact and disappear or transition smoothly once the shoutout period ends.

Acceptance Criteria
Automatic Card Display Upon Sponsor Shoutout
Given a sponsor shoutout is triggered during a live session overlay, when the shoutout starts, then a sponsor card displaying the sponsor’s logo, title, and tagline appears on-screen within 500ms.
High Performance Loading in Low Bandwidth
Given an attendee’s network bandwidth is as low as 2 Mbps, when the sponsor card is triggered to load, then the card fully renders within 1 second without causing stutter or buffering in the live video stream.
Interactive Tap Navigation to Sponsor Content
Given the sponsor card is displayed, when an attendee taps on the card, then the attendee’s browser opens the sponsor’s URL in a new tab and correctly loads the sponsor’s webpage.
Smooth Removal After Shoutout Period
Given the sponsor shoutout period ends, when the configured display duration elapses, then the sponsor card transitions off-screen smoothly within 300ms without abrupt jumps.
Consistent Card Rendering Across Devices
Given the sponsor card must display on devices from 720p to 4K resolution, when rendered, then all card elements (logo, title, tagline) scale proportionally without distortion, clipping, or overlapping content.
Sponsor Card Click Action
"As an event attendee, I want to tap the sponsor card to access sponsor offers or websites directly so that I can explore opportunities in real time without leaving the event interface."
Description

Enable interactive tap or click functionality on the sponsor card, directing users to a configurable destination such as the sponsor’s website, a promotional landing page, or a contact form. Ensure the click area is clearly defined, accessible, and responsive across devices. Provide options to open links in a new tab or in-app browser without interrupting the live session.

Acceptance Criteria
Default Sponsor Card Click Behavior
Given a sponsor card is displayed with a configured URL When a user clicks on the sponsor card Then the link opens in the same browser tab
Sponsor Card Click Opens in New Tab
Given the sponsor card link is configured to open in a new tab When a user clicks on the sponsor card Then a new browser tab opens with the correct URL and the original tab remains on the session
Sponsor Card Click Opens in In-App Browser
Given the sponsor card link is configured to open in the in-app browser When a user taps on the sponsor card Then the sponsor's page loads within the in-app browser without exiting the live session interface
Sponsor Card Click on Mobile Device
Given a mobile device user in the live session When the user taps the sponsor card Then the tap area registers correctly and navigates as per configuration within 300ms
Sponsor Card Accessibility Interaction
Given assistive technology is active When navigating to the sponsor card Then the card is announced with its label and is activatable via keyboard or screen reader command
Sponsor Card Branding Configuration
"As an event host, I want to configure sponsor cards with custom assets, layouts, and links so that I can ensure consistent branding and accurate call-to-action during live sessions."
Description

Create a configuration interface for hosts and administrators to upload sponsor assets, define card layouts, set display durations, and specify click-through destinations. Include validation for image sizes, aspect ratios, and text length. Provide a preview mode to verify the card appearance before going live.

Acceptance Criteria
Sponsor Logo Upload and Validation
Given the host uploads a sponsor logo image file When the file size is ≤2MB and dimensions fall within 300×300 to 1200×600 pixels with an aspect ratio of 1:1 or 2:1 Then the system accepts the image and displays it in preview mode; Given validation fails Then the system displays an error message specifying the violation (file size, dimension, or aspect ratio).
Card Layout Preview Activation
Given the host configures card layout settings including position, color scheme, and text style When the host clicks the “Preview” button Then the system renders the sponsor card exactly as configured in the preview pane without saving changes; And highlights any mismatches in red.
Display Duration Configuration
Given the host sets a display duration value between 5 and 30 seconds When the host saves the configuration Then the system enforces the duration during live sessions and logs the start and end timestamps; And durations outside this range trigger a validation error.
Click-through Destination Validation
Given the host enters a click-through URL using http or https When the host clicks “Test Link” in preview mode Then the system opens the URL in a new browser tab without errors; And invalid URLs trigger an inline error message before saving.
Text Length Validation
Given the host enters sponsor text fields When the title exceeds 100 characters or the description exceeds 250 characters Then the system prevents saving and displays a live character count warning; And within limits the configuration saves successfully.
Sponsor Card Analytics Tracking
"As a marketing manager, I want to see real-time analytics on sponsor card performance so that I can measure engagement and optimize sponsor ROI during virtual events."
Description

Implement analytics tracking for sponsor card impressions, clicks, and engagement rates. Capture timestamps, user identifiers (anonymized), and destination URLs. Integrate data into the AI-powered dashboard to surface real-time metrics, reports, and visualizations for hosts and sponsors.

Acceptance Criteria
Sponsor Card Impression Logged
Given a sponsor card is displayed on an attendee’s screen When the impression event fires Then the system logs a record with timestamp, anonymized user identifier, sponsor card ID, and session ID into the analytics database
Sponsor Card Click Tracked
Given an attendee taps the sponsor card When the click event is triggered Then the system captures and records the timestamp, anonymized user identifier, sponsor card ID, and destination URL as an event
Destination URL Captured
Given an attendee click redirects to the sponsor’s link When redirection occurs Then the analytics system records the exact destination URL and associates it with the click event in the database
Engagement Rate Calculation
Given impression and click events stored in the analytics database When the system computes metrics Then it calculates engagement rate as (clicks ÷ impressions) × 100 and rounds to two decimal places
Dashboard Real-Time Metrics Update
Given new impression or click events are logged When the analytics pipeline processes incoming data Then the AI-powered dashboard updates total impressions, clicks, and engagement rate within five seconds
Anonymized Identifier Compliance
Given user identifiers are collected for tracking When events are logged Then the identifiers are anonymized or hashed, ensuring no personally identifiable information is stored
Sponsor Card Responsive Design
"As a mobile attendee, I want the sponsor card to display and function correctly on my device so that I can interact with sponsor content as easily as desktop users."
Description

Ensure the sponsor card layout is fully responsive across desktop, tablet, and mobile devices. Adapt font sizes, image scaling, and tap target areas to various screen sizes. Test across major browsers and platforms to guarantee consistent appearance and interactivity.

Acceptance Criteria
Desktop Browser View
Given the sponsor card is displayed in a desktop browser at widths ≥1024px, when the window is resized, then the card’s layout adapts fluidly without horizontal scroll or overlap, and text remains legible at no less than 16px.
Tablet Portrait View
Given the sponsor card is viewed on a tablet in portrait orientation (widths between 600px and 900px), when the device is rotated or resized, then images scale proportionally, font sizes adjust between 14px–18px, and all buttons remain fully tappable.
Tablet Landscape View
Given the sponsor card appears on a tablet in landscape orientation (widths between 900px and 1200px), when content loads, then the card maintains a 4:3 aspect ratio, margins are at least 16px, and no visual elements are clipped.
Mobile Portrait View
Given the sponsor card is displayed on a mobile device in portrait (widths ≤600px), when the user taps any card element, then each tap target is at least 48×48px, font sizes are ≥14px, and the sponsor link opens in the external browser.
Cross-Browser Consistency
Given the sponsor card is accessed in the latest versions of Chrome, Safari, Firefox, and Edge on any device, when the page loads, then the card’s visual appearance and interactive behavior match design specs within a 5px tolerance across browsers.

AI Spotlight Scheduler

Leverages machine learning to predict optimal moments for sponsor shoutouts based on real-time engagement patterns, maximizing visibility and minimizing interruption to the event flow.

Requirements

Real-Time Engagement Data Collection
"As an event host, I want real-time engagement data collection so that the AI Spotlight Scheduler has the most current information to predict optimal sponsor shoutout moments."
Description

The system must collect and preprocess real-time engagement metrics—including poll responses, Q&A interactions, and chat activity—with a maximum latency of 2 seconds. It should integrate seamlessly with the AI dashboard, storing time-series data in a scalable database for downstream machine learning models. This capability ensures the scheduler has up-to-date information to make accurate predictions.

Acceptance Criteria
Collecting Poll Responses Under High Load
Given 1000 simultaneous poll responses per second, the system must ingest, preprocess, and forward each response to the AI dashboard within 2 seconds of receipt; automatic retry of failed ingestions up to 3 times without data loss; all response timestamps logged for latency verification.
Streaming Q&A Interactions to AI Dashboard
Given a live Q&A session, the system must capture each question submission and update the AI dashboard within 2 seconds of user submission; each question record must include user ID, timestamp, and content; zero dropped messages under nominal network conditions.
Capturing Chat Activity During Spike Surges
Under a chat message surge of up to 200 messages per second, the system must capture, preprocess, and store chat messages within 2 seconds; preserve message order; and ensure chat data is immediately available in the time-series database.
Data Integration with Time-Series Database
Engagement events must be written to the time-series database in chronological order within 2 seconds of generation; schema validation errors must be logged and retried automatically; all events must be queryable via the AI dashboard API.
Latency Measurement Under Peak Engagement
System must record ingestion latency metrics for all event types and report average latency ≤2 seconds over a 10-minute peak load test; any latency breach must trigger an automated alert to the monitoring system.
Engagement Pattern Analysis Module
"As a data scientist, I want the system to analyze engagement patterns so that it can identify the best moments for sponsor shoutouts."
Description

Develop an analysis module that processes historical and live engagement data to detect peaks, troughs, and trend shifts using statistical methods and machine learning techniques. The module should generate feature vectors for the prediction engine and integrate with existing analytics services for continuous refinement.

Acceptance Criteria
Real-Time Engagement Peak Detection
Given a continuous stream of live engagement metrics, when data is ingested into the module, then the system should identify engagement peaks within a rolling 5-minute window with at least 90% accuracy and record the peak timestamps in the output log.
Trough Identification in Live Sessions
Given continuous engagement data, when a sustained drop below the 20th percentile is observed for more than 3 minutes, then the module should flag the trough event and include its duration and timestamp in the analysis output.
Trend Shift Recognition Over Time
Given time-series engagement data spanning an event session, when a statistical change in mean engagement (p-value < 0.05) is detected between two intervals, then the module should emit a TrendShift event containing before-and-after metrics and timestamps.
Feature Vector Generation for Prediction Engine
Given processed engagement metrics and detected events, when the extraction routine runs, then the module should generate a feature vector every minute including peak_count, average_engagement, trough_duration, trend_shift_count, and data_confidence_score.
Integration with Analytics Services
Given new feature vectors, when they become available, then the module should post them to the existing analytics service via REST API within 30 seconds and log a success or error response code.
Optimal Timing Prediction Engine
"As a marketing manager, I want the AI Scheduler to predict the best times for sponsor shoutouts so that my sponsors receive maximum visibility without interrupting the event flow."
Description

Build an AI-powered engine that predicts the most effective times for sponsor shoutouts with at least 80% accuracy. The engine should consume real-time engagement inputs, apply trained models, and output recommended timestamps to a scheduling queue. It must support configurable confidence thresholds and adapt to changing event dynamics.

Acceptance Criteria
Live Session Engagement Data Ingestion
Given the event is live and engagement data streams at 1-second intervals, when the prediction engine consumes the data, then it processes each data point within 500ms without loss.
Prediction Accuracy Validation
Given historical engagement sessions with known optimal shoutout timings, when the engine predicts shoutout timestamps, then the predictions achieve at least 80% accuracy against the baseline.
Configurable Confidence Threshold Adjustment
Given the confidence threshold is configured at 75%, when predictions fall below this threshold, then the engine suppresses scheduling and logs a warning for manual review.
Adaptive Model Retraining During Session
Given engagement patterns shift by more than 10% from initial metrics, when drift is detected, then the engine retrains the model using the last 5 minutes of data and completes retraining within 2 minutes.
Scheduling Queue Integration
Given a predicted optimal timestamp and confidence score, when the engine outputs to the scheduling queue, then the entry appears within 1 second with correct metadata for downstream processing.
Sponsor Shoutout Delivery Interface
"As an event host, I want an interface to review and approve the suggested shoutout timings so that I maintain control over the event flow."
Description

Create a user interface within the host dashboard that allows event hosts to configure sponsor shoutout parameters, review AI-generated timing suggestions, and approve or override each recommendation. The interface should provide real-time previews and integrate with the event streaming client for seamless delivery.

Acceptance Criteria
Configuring Sponsor Shoutout Parameters
Given the host is on the Sponsor Shoutout Delivery Interface, when they enter or adjust parameters such as sponsor name, message, frequency, and duration, then the Save button becomes enabled and clicking it persists the changes with a success message displayed.
Reviewing AI-Generated Timing Suggestions
Given the host has active event data, when the AI Spotlight Scheduler analyzes engagement patterns, then at least three timing suggestions are displayed with corresponding timestamps, predicted engagement scores, and a visual indicator ranking the top suggestion.
Approving AI Recommendations
Given a list of AI-generated suggestions, when the host clicks Approve on any suggestion, then the selected suggestion is added to the scheduled shoutout timeline and the UI updates to mark it as approved.
Overriding AI Suggestions
Given the host disagrees with an AI suggestion, when they manually select a timestamp and enter custom timing, then the system overrides the AI recommendation, updates the timeline accordingly, and confirms the override with a notification.
Real-Time Preview of Sponsor Shoutout
Given the host configures shoutout parameters or approves/overrides a suggestion, when they click Preview, then a real-time rendering of the shoutout appears in the embedded player mockup reflecting the exact timing, message content, and styling.
Integration with Live Streaming Client
Given an approved shoutout is scheduled, when the event is live-streamed, then the sponsor message is injected at the correct timestamp without causing buffering or delay to the live stream.
Performance Monitoring and Reporting
"As a product manager, I want performance reports on the AI Scheduler's accuracy and impact so that I can assess ROI and optimize model performance."
Description

Implement monitoring tools to track prediction accuracy, engagement uplift from shoutouts, and system latency. Provide real-time dashboards and generate periodic reports for stakeholders, integrating with the existing analytics dashboard to inform model optimization and business ROI assessments.

Acceptance Criteria
Real-time Dashboard Visualization
Given the monitoring tools are active When stakeholders access the dashboard Then prediction accuracy, engagement uplift, and system latency metrics are updated in real-time with no more than a 5-second delay
Prediction Accuracy Tracking
Given a predicted optimal shoutout is made When actual engagement data is received Then the system calculates and logs prediction accuracy within 1% error margin for at least 95% of events
Engagement Uplift Reporting
Given an event session ends When generating the post-event report Then the report includes engagement uplift metrics for each shoutout segment, complete with baseline comparisons and confidence intervals
System Latency Monitoring and Alerting
Given the monitoring threshold is configured When data ingestion or dashboard rendering latency exceeds 200ms Then an alert is triggered and logged, and notification is sent to the operations team within 1 minute
Periodic Stakeholder Report Generation
Given the report schedule is defined When the scheduled report time occurs Then the system automatically generates and emails PDF reports with key metrics and insights to stakeholders with a 100% delivery success rate

Custom Theme Builder

Empowers hosts to design unique visual themes and animations for each sponsor shoutout, aligning with brand guidelines and creating a cohesive, polished audience experience.

Requirements

Theme Template Library
"As a host, I want a library of customizable theme templates so that I can quickly select and apply branded layouts for sponsor shoutouts without starting from scratch."
Description

Provide a centralized repository of pre-designed theme templates and animations that hosts can browse, customize, and apply to sponsor shoutouts. The library should include a variety of visually compelling layouts, color schemes, and motion effects aligned with modern branding standards. Templates can be filtered by industry, style, or animation type, enabling hosts to quickly find and apply the right design. Integration with PulseMeet ensures seamless application of selected templates into live sessions without manual coding, maintaining UI consistency and reducing setup time.

Acceptance Criteria
Browsing Theme Templates
Given the host navigates to the Theme Template Library page When the page loads Then at least 20 templates are displayed within 2 seconds And each template shows a preview image, name, and tags
Filtering Templates by Industry
Given the host selects an industry filter When the filter is applied Then the library displays only templates tagged with the selected industry
Customizing a Template
Given the host selects a template When the host applies custom colors, fonts, and animations Then the preview updates in real time And changes are saved as a new custom template upon confirmation
Applying Template to Live Session
Given the host has a live session scheduled When the host applies a template to sponsor shoutouts Then the template styling appears correctly in the live session without manual coding or reload
Real-Time Template Update Before Session
Given the session is about to start When the host updates template settings in the library Then the upcoming shoutouts use the updated settings in the live session
Drag-and-Drop Editor
"As a host, I want to drag and drop visual elements onto a canvas so that I can easily compose and adjust sponsor shoutout themes without technical assistance."
Description

Implement an intuitive drag-and-drop interface within PulseMeet that allows hosts to place, resize, and layer visual elements—such as sponsor logos, text blocks, and animations—directly on the theme canvas. The editor should support snapping guides, alignment tools, and undo/redo functionality to streamline design adjustments. Changes made in the editor must reflect in real time on the preview and live session output, ensuring accurate representation of the final on–screen graphics.

Acceptance Criteria
Adding Elements to Canvas
Given the theme builder is open, when a host drags a sponsor logo, text block, or animation from the element panel onto the canvas, then the element is placed at the drop location and is immediately selectable for further actions.
Resizing Elements on Canvas
Given an element is placed on the canvas, when the host drags a corner or edge handle, then the element resizes proportionally or non-proportionally based on handle type, remaining within the canvas boundaries.
Layering and Z-Order Management
Given multiple elements overlap, when the host uses the Bring to Front or Send to Back controls, then the selected element’s z-index updates accordingly, reflecting the change in both the editor canvas and the live preview.
Using Snapping Guides and Alignment Tools
Given the host moves or resizes an element within 10 pixels of another element’s edge or center, then snapping guides appear and the element snaps into alignment when released.
Undo and Redo Operations
Given the host performs an action (add, move, resize, layer change), when the host clicks Undo or Redo, then the last action is reverted or reapplied and the canvas state updates accordingly.
Real-Time Preview Synchronization
Given any change is made in the editor (addition, move, resize, layer change, undo/redo), when the change is applied, then the live session preview updates within 500ms to accurately reflect the current canvas state.
Snap-to-Grid Functionality
Given the grid is enabled, when the host moves or resizes an element, then the element snaps to the nearest grid intersection without exceeding the canvas boundaries.
Brand Asset Integration
"As a host, I want to upload my brand assets into PulseMeet so that all custom themes automatically adhere to our corporate style guidelines."
Description

Enable hosts to upload and manage brand assets—such as logos, fonts, color palettes, and SVG animations—directly within the theme builder. The system should validate file formats and sizes, automatically extract color codes, and generate a brand style guide for consistent use across themes. Uploaded assets must be securely stored in the host’s PulseMeet account and accessible for all custom themes, ensuring brand compliance across multiple events.

Acceptance Criteria
Upload and Validate Logo Files
Given a host uploads a logo file When the file is in PNG, JPEG, or SVG format and under 5MB Then the system accepts the file and confirms validation Within 2 seconds
Automatic Color Code Extraction
Given a host uploads a brand asset with visible color palettes When the asset is processed Then the system identifies and extracts all HEX and RGB color codes and displays them in the style guide
Secure Asset Storage
Given a host uploads any brand asset When the upload is complete Then the asset is stored in the host’s secure PulseMeet account storage with encryption at rest and in transit
Generate Brand Style Guide
Given valid brand assets are available in the account When the host requests a style guide Then the system generates and presents a downloadable brand style guide including logos, fonts, color codes, and animation specs
Manage SVG Animations
Given a host uploads an SVG animation file When the file size is under 10MB and format is valid Then the system parses animation parameters and makes the asset available in the custom theme builder
Real-Time Preview
"As a host, I want to see a real-time preview of my custom theme on multiple device layouts so that I can verify the design and animations before presenting to the audience."
Description

Provide a live preview panel that displays the current theme and animations exactly as they will appear during the event. The preview should reflect any changes instantly, including responsive adjustments for different screen sizes (desktop, tablet, mobile). Hosts must be able to simulate sponsor shoutouts and view animation timing, allowing them to fine-tune designs before going live.

Acceptance Criteria
Desktop View Preview Update
Given the host edits theme colors or animations on the Custom Theme Builder page, when the change is made, then the preview panel updates within 1 second and matches the final rendered output at 1920x1080 resolution.
Mobile View Responsive Preview
Given the host selects the mobile view mode, when they apply any theme adjustment, then the preview displays the updated theme and animations correctly scaled and positioned within a 375x667 viewport without layout issues.
Simulated Sponsor Shoutout Playback
Given a sponsor shoutout is configured, when the host clicks the 'Simulate Shoutout' button, then the preview plays the complete sequence of animations and transitions exactly as scheduled, including entry, highlight, and exit effects.
Animation Timing Accuracy
Given the host adjusts an animation duration setting, when the change is applied, then the preview reflects the new timing and the displayed duration value matches the actual playback length within a tolerance of ±100ms.
Screen Mode Switch Persistence
Given the host switches between desktop, tablet, and mobile modes in the preview panel, when switching modes, then the preview retains the current theme state and pending animation queue without resetting or delaying playback.
Animation Timing Controls
"As a host, I want to adjust animation timing and easing for shoutouts so that the visual effects align perfectly with my event’s pacing."
Description

Offer configurable timing settings for each animation within the custom theme, including duration, delay, easing, and repeat options. Hosts can set start and end times for animations relative to the sponsor shoutout trigger and preview timing curves. These controls should integrate with PulseMeet’s event timeline, allowing precise synchronization of animations with live session moments.

Acceptance Criteria
Configure Animation Duration
Given the host opens the animation timing controls When they set the duration to 1500ms and save Then the live preview plays the animation exactly for 1500ms and the same duration is applied during the session
Set Animation Delay
Given the host configures a 2-second delay When the sponsor shoutout is triggered Then the animation starts exactly 2 seconds after the trigger in both preview and live mode
Apply Custom Easing Curve
Given the host selects the 'ease-in-out' easing option When they preview the animation Then the animation’s speed follows the ease-in-out curve and matches the preview during the live session
Repeat Animation N Times
Given the host sets the repeat count to 3 When the sponsor shoutout plays Then the animation repeats exactly three times consecutively and then stops
Synchronize Animation with Event Timeline
Given the host schedules the animation to start at 00:05:00 into the session When the session reaches the five-minute mark Then the animation automatically begins without manual intervention
Export & Apply Themes
"As a host, I want to export and share my custom themes so that my marketing team can reuse consistent sponsor shoutouts in future events."
Description

Allow hosts to save completed themes as reusable profiles that can be exported, shared with teammates, or applied across future events. Themes should be packaged with all associated assets and settings, enabling quick import into other PulseMeet sessions. The export format must be compatible with version control to track changes and updates over time.

Acceptance Criteria
Save Theme as Reusable Profile
Given a host has finalized a custom theme, When they select the 'Export Theme' option, Then the system generates a downloadable package containing a manifest file listing all theme settings in JSON and all associated asset files in a ZIP.
Share Theme with Team
Given a host exports a theme package, When a teammate uploads the package via the 'Import Theme' feature, Then the theme appears in their theme library with all settings and assets intact.
Apply Theme to Future Event
Given a theme profile exists in the host's library, When the host selects it for a new event and clicks 'Apply', Then the event session UI reflects the imported theme settings and assets.
Version Control Compatibility
Given a theme package is exported, When the package is opened in a Git repository, Then the manifest and assets are in a structured folder allowing diff tracking of JSON changes and asset updates.
Missing Asset Warning on Import
Given an incomplete theme package is imported, When the system detects missing assets referenced in the manifest, Then it displays an error listing the missing files and aborts the import process.

Spotlight Performance Hub

Offers real-time analytics on each sponsor shoutout—such as impressions, click-throughs, and engagement rates—so marketers can measure ROI and adjust sponsorship strategies on the fly.

Requirements

Real-time Impressions Tracking
"As a marketing manager, I want real-time impressions tracking for each sponsor shoutout so that I can gauge visibility instantly and adjust engagement strategies on the fly."
Description

Implement a live impressions counter that captures and displays the number of times each sponsor shoutout is viewed in real time. The feature must integrate with the event’s streaming data pipeline, update metrics on the Spotlight Performance Hub dashboard within seconds, and accommodate high-concurrency scenarios. This visibility empowers marketers to immediately see sponsor exposure levels, make on-the-fly adjustments to session pacing or promotion frequency, and ensure sponsors receive accurate ROI insights.

Acceptance Criteria
Live Stream Sponsor Shoutout Visibility
Given a sponsor shoutout is displayed to participants, when each participant's playback client receives the video frame containing the shoutout, then the impressions counter on the dashboard increments by 1 within 2 seconds; Given multiple participants view the same shoutout concurrently, the aggregated impressions count reflects the sum of individual views without duplication; Given a participant rewinds or replays the shoutout content, only initial unique views per participant are counted.
High Concurrency Impression Spike
Given 10,000 concurrent participants viewing a sponsor shoutout, when the shoutout plays, then the impressions counter updates for each 1,000-impression increment without performance degradation (>1s update latency) and no data loss; System throughput metrics remain within SLA (99% of updates processed under 3 seconds) during peak concurrency.
Cross-Session Sponsor Shoutout Tracking
Given a sponsor shoutout appears in multiple sessions back-to-back, when a participant watches shoutouts across sessions, then the dashboard groups impressions by session ID and shoutout ID and displays separate real-time counts; Historical impressions for previous sessions remain accessible and are not overwritten by new session data.
Dashboard Metric Refresh Under Latency
Given transient network latency or streaming pipeline delays up to 5 seconds, when an impression event is delayed, then the system buffers and backfills metrics ensuring the dashboard counter accuracy within 1% error margin once the data arrives; No duplicate impressions are displayed after backfill.
Sponsor Exposure Adjustment Feedback
Given marketers adjust promotion frequency mid-session, when the frequency setting is changed, then the impressions counter reflects subsequent views according to updated schedule within 2 seconds; Dashboard exposes a timestamp of adjustment and separate metrics for pre- and post-adjustment impressions.
Click-through Analytics Dashboard
"As a marketing manager, I want to see click-through analytics for every sponsor shoutout so that I can assess audience interest and improve sponsorship engagement."
Description

Build a dashboard component that records, aggregates, and visualizes click-through data for each sponsor shoutout. It should log each click event, associate clicks with specific sponsor IDs and sessions, and display click counts, click-through rates (CTRs), and interactive heat maps. The dashboard must refresh automatically and allow drill-down analysis by time interval, session, or sponsor. This feature gives marketers precise insights into audience interest and helps optimize link placement and calls to action.

Acceptance Criteria
Logging Click Events
Given a user clicks a sponsor link, when the click occurs, then the system logs an event with the sponsor ID, session ID, and timestamp.
Aggregating Click Data
Given multiple click events are recorded, when the dashboard aggregates data, then it displays total click counts and click-through rates per sponsor and session within two seconds.
Real-Time Dashboard Refresh
Given new click events are logged, when within five seconds of the event, then the dashboard automatically updates to reflect the latest metrics without manual intervention.
Drill-Down Analysis
Given a user selects a time interval, session, or sponsor filter, when the filter is applied, then the dashboard displays filtered click counts and CTRs accurately for the specified parameters.
Interactive Heat Map Visualization
Given click events are mapped to session layouts, when a user views the heat map, then the intensity of hotspots correlates correctly with click frequency and updates dynamically as data changes.
Engagement Rate Visualization
"As a marketing manager, I want to view engagement rates for each sponsor shoutout so that I can understand audience interaction levels and optimize future sessions."
Description

Develop visual widgets that calculate and display engagement rates—such as poll responses, Q&A interactions, and chat mentions—during sponsor shoutouts. The system must correlate engagement events with sponsor segments, normalize rates against session averages, and present results in charts or gauges. Integration with the AI-powered dashboard should enable contextual insights, highlighting underperforming shoutouts. This requirement helps marketers evaluate audience interaction quality and refine sponsorship content.

Acceptance Criteria
Live Poll Engagement Visualization
Given a sponsor shoutout segment is live with an embedded poll When participants submit poll responses Then the widget displays the total response count within 2 seconds And shows the engagement rate calculated as (responses)/(attendees)×100%
Q&A Interaction Tracking
Given a sponsor shoutout segment is active and Q&A is enabled When attendees submit questions or upvote existing ones Then the Q&A interaction count updates in real time in the engagement widget And the engagement rate reflects (Q&A interactions)/(attendees)×100%
Chat Mentions Correlation
Given a sponsor shoutout segment is in progress and chat is open When participants send messages containing sponsor keywords or tags Then the engagement widget increments the mention count in real time And displays the mention-based engagement rate as (mentions)/(attendees)×100%
Engagement Rate Normalization
Given the session average engagement rate is available When a sponsor segment concludes Then the system normalizes that segment’s engagement rate against the session average And presents a comparative chart showing segment vs. session engagement percentages
Underperforming Shoutout Highlight
Given multiple sponsor shoutout segments have recorded engagement rates When any segment’s normalized rate falls below 75% of the session average Then the dashboard AI flags that segment as underperforming And highlights it in red with a contextual insight message
Customizable Reporting Filters
"As a marketing manager, I want to apply custom filters to performance data so that I can focus on specific events, sponsors, or metrics and derive actionable insights."
Description

Enable users to apply custom filters to performance data by date range, event session, sponsor, and metric type (impressions, clicks, engagement). The filtering interface should be intuitive, support multi-select criteria, and update dashboard visuals and tables dynamically. Filter settings must be shareable via permalink and persist across user sessions. This flexibility allows marketers to focus analysis on specific campaigns, sponsors, or time frames, driving data-driven decision making.

Acceptance Criteria
Filter Data by Date Range
Given the user is on the Spotlight Performance Hub dashboard, when the user selects a valid start date and end date in the date range filter and clicks 'Apply', then all charts and tables update to only display performance data within the specified date range, and the URL parameters reflect the chosen dates.
Apply Multi-Select Filters Across Event Sessions
Given the user is on the reporting filters panel, when the user selects multiple event sessions from the sessions dropdown and confirms the selection, then the dashboard dynamically updates to aggregate and display data for all selected sessions without page reload.
Filter by Sponsor and Metric Type
Given the user has opened the filter interface, when the user selects one or more sponsors and metric types (impressions, clicks, engagement) and applies the filter, then the dashboard updates to show only the metrics for the chosen sponsors and metric types.
Permalink Shareability of Filter Settings
Given the user has applied custom filters, when the user copies and shares the generated permalink, then opening that URL recreates the dashboard with the identical filter settings and visuals.
Persist Filters Across User Sessions
Given the user applies filter settings and logs out, when the user logs back into PulseMeet, then the previously applied filter settings are automatically restored on the Spotlight Performance Hub dashboard.
Automated Alert System
"As a marketing manager, I want to receive alerts when sponsor performance drops below or exceeds defined thresholds so that I can take immediate corrective or amplifying actions."
Description

Implement an alert mechanism that notifies users when sponsor performance metrics cross predefined thresholds. Users should be able to configure alerts for impressions dips, CTR drops, or engagement declines via the dashboard settings. Alerts must be deliverable via in-app notifications, email, or Slack integration, and include context on the metric and suggested actions. This proactive feature ensures marketers can react immediately to performance issues or successes, optimizing sponsor ROI.

Acceptance Criteria
Impressions Dip Alert Configuration
Given a marketing manager has set an impressions dip threshold for a sponsor, when the live impressions metric for that sponsor falls below the threshold within a rolling 5-minute window, then the system must generate an alert notification via the selected delivery channels within 2 minutes of the threshold breach.
CTR Drop Alert Trigger
Given a user has configured a Click-Through-Rate (CTR) drop alert at 5% below the baseline performance, when the sponsor's CTR falls below the configured threshold during an event session, then the system must deliver an alert including the current CTR value and the percentage drop relative to baseline to the user's dashboard, email, and Slack as per settings.
Engagement Decline Notification with Suggested Actions
Given a decline in engagement rate of 20% compared to the previous session is detected, when the threshold is breached, then the alert must include context on the engagement metric, a comparison to the previous session, and three AI-generated suggested actions to improve engagement.
Slack Integration Delivery
Given the user has enabled Slack integration and selected a specific channel for alerts, when any configured performance threshold is crossed, then the system must post a formatted alert message in the designated Slack channel within 1 minute of detection, including metric details and a direct link to the sponsor performance dashboard.
Alert Configuration Persistence
Given a user configures multiple alert thresholds and delivery channels, when the user saves the settings, then the system must persist all configurations and display them accurately upon revisiting the alert settings page.
Data Export Capability
"As a marketing manager, I want to export performance data to CSV or PDF so that I can share detailed reports with stakeholders and conduct offline analysis."
Description

Provide functionality to export Spotlight Performance Hub data into CSV and PDF formats. Users should be able to select date ranges, sponsors, and metrics for export, and customize report layouts with headers, footers, and branding. The system must generate downloadable files within seconds and handle large datasets efficiently. This requirement equips marketers with portable reports for stakeholder presentations and longitudinal analysis outside the PulseMeet platform.

Acceptance Criteria
Exporting Data with Date Range and Metrics Selection
- Given the user selects a start date, end date, sponsors, and metrics, when they initiate the export, then the exported file includes only the specified data. - The file headers match the selected metrics and sponsor names. - An error message is displayed if the user selects an invalid date range (start date after end date or range exceeds one year).
Customizing Report Layout with Branding
- Users can include custom headers, footers, and a logo; when customization is applied, the export preview reflects the branding settings; the final exported file includes the branding elements in the correct positions. - Users can reorder columns; the exported file respects the selected column order. - If no customization is provided, the system applies the default company style layout.
Handling Large Datasets Efficiently
- When exporting data sets exceeding 100,000 rows, the system processes the request without timing out or crashing. - Export generation completes within 10 seconds for large data sets. - System resource utilization remains within acceptable thresholds (no more than 80% CPU or memory usage during export).
Generating CSV Format Reports Quickly
- When the user selects CSV format and initiates export, the system generates a valid CSV file with correct delimiters and UTF-8 encoding. - The file name follows the pattern 'PulseMeet_[YYYYMMDD]_[start]-[end].csv'. - The download link becomes available within 3 seconds of export completion.
Generating PDF Format Reports Quickly
- When PDF format is selected and export is initiated, the system generates a PDF file with correct pagination, headers, footers, and any embedded charts. - The file name follows the pattern 'PulseMeet_[YYYYMMDD]_[start]-[end].pdf'. - The PDF renders correctly in popular viewers (e.g., Adobe Reader, browser PDF plugins) without formatting errors.

Dynamic Sponsor Rotation

Automatically rotates through multiple sponsor messages at varying engagement thresholds, ensuring equal exposure and keeping audience attention fresh throughout the event.

Requirements

Sponsor Message Scheduling
"As an event host, I want to schedule sponsor messages based on time or engagement triggers so that each sponsor receives balanced exposure without manual intervention."
Description

Enable hosts to schedule multiple sponsor messages either at predefined time intervals or based on engagement milestones. This functionality ensures automated delivery of sponsor content without manual intervention, maintaining equal exposure and preventing audience fatigue. It integrates seamlessly with PulseMeet’s existing session timeline, automatically queuing messages according to the host’s configuration and real-time event flow.

Acceptance Criteria
Scheduled Time-Based Sponsor Message Delivery
Given a host schedules sponsor messages at 5-minute intervals When the event session starts Then sponsor messages are automatically delivered at every 5-minute mark throughout the session without manual intervention
Engagement Threshold-Based Trigger
Given a host sets an engagement threshold of 50 chat messages When the chat message count reaches 50 Then the next sponsor message is automatically displayed to all participants
Session Timeline Integration Validation
Given multiple sponsor messages are queued in the session timeline When the session timeline is viewed by the host Then all scheduled messages appear in chronological order with correct time or engagement triggers
Sponsor Message Queue Management
Given a host configures four sponsor messages When one message is delivered Then it is removed from the active queue and the next message moves to the top of the queue
Manual Override and Rescheduling
Given an active sponsor message delivery is in progress When the host triggers a manual override Then the system pauses the current message, allows the host to reschedule it, and continues with the adjusted schedule
Engagement Threshold Configuration
"As a marketing manager, I want to define engagement-based thresholds for rotating sponsor messages so that sponsor visibility aligns with audience activity peaks."
Description

Provide a settings interface for defining engagement metrics—such as number of poll responses, questions asked, or chat messages—as thresholds to trigger sponsor rotations. Hosts can customize threshold values for each session, ensuring sponsor messages appear during peaks of participant activity to maximize visibility and impact.

Acceptance Criteria
Session Setup with Custom Thresholds
Given a host is on the Engagement Threshold Configuration page, when they enter numeric values for poll responses, chat messages, and questions and click 'Save', then the system persists and displays these values in the session settings.
Real-time Poll Response Trigger
Given a live session with a configured poll threshold, when the number of poll responses equals or exceeds the threshold, then the system automatically queues and displays the next sponsor message within 5 seconds.
Q&A Engagement Trigger Configuration
Given a live session accumulating questions, when the count of submitted questions reaches the host-defined threshold, then the system rotates to the next sponsor message and logs the rotation event in the analytics dashboard.
Chat Activity Threshold Activation
Given active chat during a session, when the total chat messages match the configured threshold, then the system triggers the next sponsor rotation seamlessly without interrupting ongoing interactions.
Threshold Update Mid-Session
Given a host modifies threshold values during a live session, when they save the new values, then the system applies the updated thresholds immediately for subsequent rotations and archives the previous thresholds.
Rotation Logic Engine
"As an event host, I want an automated engine that cycles sponsor content evenly so that no sponsor is over or underrepresented during the event."
Description

Develop an automated logic engine that cycles through sponsor messages based on the defined schedule and engagement thresholds. The engine balances exposure by tracking past rotations, avoiding repetition, and can introduce randomization to keep the sequence fresh. It interfaces with the event’s real-time data feed to adapt rotations dynamically.

Acceptance Criteria
Sponsor Rotation Initiation
Given the event has started and a predefined sponsor message schedule exists When the rotation logic engine initializes Then it selects the first sponsor message as per schedule and logs the rotation timestamp
Engagement Threshold Trigger
Given live session engagement metrics are monitored When a sponsor’s engagement falls below the lower threshold or exceeds the upper threshold Then the engine automatically rotates to the next sponsor message within 5 seconds
Balanced Exposure Assurance
Given multiple sponsor messages are queued over the event duration When rotations occur Then the engine tracks past displays and ensures no sponsor appears more than twice before all others have appeared at least once
Randomization Inclusion
Given the rotation sequence has repeated sponsors in the last three rotations When randomization is enabled Then the engine inserts a randomly selected sponsor from the remaining list ensuring unpredictability
Real-time Adaptation Response
Given real-time data feed updates engagement spikes or drops When a sudden change in audience engagement is detected Then the engine adapts the rotation order within 10 seconds to prioritize sponsors aligned with the new engagement levels
Sponsor Management Dashboard
"As a host, I want a dashboard to manage sponsor messages and monitor rotation schedules so that I can adjust content and timing on the fly."
Description

Build a dedicated dashboard within the host admin panel for uploading, previewing, scheduling, and editing sponsor messages. The dashboard displays each sponsor’s rotation schedule, upcoming message slots, and lets hosts adjust parameters on the fly. UI components align with PulseMeet’s design system to ensure consistency and ease of use.

Acceptance Criteria
Uploading a New Sponsor Message
Given the host is on the Sponsor Management Dashboard and clicks 'Upload Sponsor', When the host selects a valid image (JPG/PNG, max 2MB) and enters sponsor message text (max 280 characters), and clicks 'Submit', Then the new sponsor message appears in the 'Upcoming Slots' list within 5 seconds, and a confirmation notification 'Sponsor uploaded successfully' is displayed.
Previewing Scheduled Sponsor Messages
Given the host is on the Sponsor Management Dashboard with at least one scheduled sponsor, When the host clicks the 'Preview' button next to any scheduled entry, Then a modal opens displaying the full sponsor message as it will appear during the event, and the host can navigate through all upcoming messages in rotation.
Scheduling Sponsor Messages Across Time Slots
Given multiple sponsor messages are uploaded, When the host sets rotation parameters (e.g., interval duration or engagement threshold) via the scheduling controls and clicks 'Save Schedule', Then the calendar view updates to reflect the new time slots or thresholds, and the backend confirms schedule persistence with a status code 200 within 3 seconds.
Editing an Existing Sponsor Message
Given a sponsor message is listed in upcoming slots, When the host clicks the 'Edit' icon, modifies the image or text, and clicks 'Save Changes', Then the updated sponsor message replaces the original entry in the schedule immediately, and an audit log entry is created noting the edit with timestamp and user ID.
Real-Time Adjustment of Rotation Parameters
Given the event is live and sponsor rotation is active, When the host changes the engagement threshold or interval duration via the dashboard controls, Then the next rotation cycle recalculates in real-time without interrupting the event stream, and a toast notification 'Rotation parameters updated' appears.
Real-time Analytics & Reporting
"As a sponsor, I want to see real-time analytics of my message performance so that I can understand audience engagement and ROI."
Description

Implement analytics tracking for sponsor message impressions and engagement, capturing metrics in real-time. Hosts and sponsors can access reports showing message performance, audience interactions, and comparative exposure. Data visualizations appear in the AI-powered dashboard, enabling instant insights and post-event analysis.

Acceptance Criteria
Live Impression Monitoring
Given a sponsor message is displayed in a session, when a participant views the message, then the system records an impression within 2 seconds; Given multiple sponsor messages are rotating, when a new message appears, then its impressions are tracked separately in real-time; The system must support up to 10,000 concurrent impressions per minute without data loss
Engagement Metrics Capture
Given a sponsor message includes interactive elements, when a participant clicks or interacts, then the system logs the interaction with timestamp and participant ID; When multiple interactions occur simultaneously, then each interaction is recorded without delay; Engagement metrics must update on the dashboard within 5 seconds of occurrence
Dashboard Visualization Update
Given current sponsor analytics data, when the host opens the dashboard, then all charts and tables display data refreshed within the last 60 seconds; Visualizations must show impressions, engagement rates, and comparative exposure for each sponsor; Data refreshes automatically without requiring manual page reload
Post-Event Report Export
Given an event has concluded, when a host requests the sponsor analytics report, then the system generates a downloadable CSV and PDF within 30 seconds; The report must include total impressions, click counts, engagement rates, timestamps, and comparative exposure data; Exported report values must match those shown on the real-time dashboard
Comparative Exposure Analysis
Given multiple sponsor messages have been displayed, when the host selects comparative analysis, then the system calculates each sponsor’s percentage share of total impressions and engagements; The system highlights the top-performing sponsor message and provides actionable recommendations; Calculations must be accurate within a 0.1% margin of error

Template Tailor

Automatically recommends and applies slide layouts and designs tailored to your event’s theme and key metrics. Saves time on formatting and ensures every deck looks polished and professional.

Requirements

Theme Detection Engine
"As a marketing manager, I want the system to automatically detect my event’s theme so that I can quickly receive relevant slide templates without manual browsing."
Description

Automatically analyzes event title, description, tags, and historical engagement metrics to identify the most relevant theme of the presentation. Generates metadata to tailor slide layouts and design elements that resonate with the event’s tone and objectives, ensuring that templates align with brand identity and audience expectations. Integrates seamlessly with event setup workflow, providing near-instant recommendations, reducing manual selection time by up to 70%, and improving overall visual coherence.

Acceptance Criteria
Event Theme Identification from Title and Tags
Given an event title, description, tags, and historical engagement metrics, when the Theme Detection Engine runs, then it must correctly identify the primary theme with at least 90% accuracy compared to a baseline manual classification.
Integration with Event Setup Workflow
Given a user is setting up a new event, when they complete entering event details and click “Detect Theme,” then the engine must return a theme recommendation and populate the template selector within 2 seconds.
Generation of Metadata for Slide Layouts
Given the detected theme, when the engine generates metadata, then it must provide a color palette, font styles, and layout parameters that align with the theme taxonomy in at least 95% of test cases.
Brand Identity Consistency Verification
Given the organization’s brand guidelines in the system, when the engine selects design elements for a detected theme, then 100% of chosen colors and logos must match the stored brand asset library.
Performance and Response Time
Given normal system load conditions, when the Theme Detection Engine processes input data, then the end-to-end processing time must not exceed 3 seconds in 95th percentile of performance tests.
Layout Recommendation Algorithm
"As a presenter, I want the system to suggest slide layouts tailored to my content so that my presentation looks professional and effectively communicates my message."
Description

Utilizes a rule-based engine combined with machine learning insights to recommend optimal slide layouts based on content type, length of text, and desired call-to-action prominence. Supports multiple layout variations for title slides, content slides, and data-driven charts, enabling presenters to choose the version that best fits their message. Ensures consistency in typography, spacing, and visual hierarchy while adapting to different presentation objectives.

Acceptance Criteria
Initial Layout Suggestion Generation
Given a user uploads or edits slide content When the user opens the Template Tailor panel Then the system presents at least three unique layout variations tailored to the slide’s content type, text length, and desired call-to-action prominence
Consistency Across Slide Deck
Given a presentation theme is selected When layouts are applied across multiple slides Then typography, spacing, color palette, and visual hierarchy remain uniform throughout the deck
Call-to-Action Prominence Adjustment
Given a slide contains a call-to-action element flagged as high priority When layout recommendations are generated Then at least one layout variation emphasizes the CTA through distinct positioning, size, or styling to maximize visibility
Data-Driven Chart Layout Optimization
Given a slide includes chart data When the layout algorithm processes the slide Then it recommends layouts that optimize chart readability by adjusting chart sizing, labeling, axis scaling, and gridline density
Real-Time Layout Update on Content Change
Given a user modifies the slide’s text or imagery When the user requests updated layout suggestions Then the system refreshes and displays revised layout options within two seconds
Design Asset Library Integration
"As a startup marketer, I want my company’s branding assets automatically applied to templates so that my slides remain consistent with our brand guidelines."
Description

Incorporates the platform’s branded asset library—including logos, color palettes, fonts, and icons—to automatically apply corporate style guidelines to recommended templates. Allows event organizers to upload custom assets and define brand rules, ensuring every slide deck adheres to organizational standards. Facilitates easy asset management via a drag-and-drop interface and real-time validation against brand compliance rules.

Acceptance Criteria
Asset Library Import Functionality
Given the Template Tailor interface is open and the user selects 'Asset Library', When the system retrieves the branded assets from the library, Then all logos, color palettes, fonts, and icons are displayed correctly categorized within 2 seconds.
Custom Asset Upload
Given the user is in Asset Library and drags a custom logo file onto the upload area, When the upload completes, Then the custom logo appears under 'Custom Assets', is selectable in templates, and meets file type (PNG, JPG, SVG) and size (<=5MB) requirements.
Brand Rule Validation
Given the user has selected a color palette and font, When the system applies these assets to a slide template, Then it validates compliance against defined brand rules and rejects non-compliant selections with a clear error message.
Drag-and-Drop Asset Management
Given the user opens the Asset Library management view, When they drag and drop an asset into a different category, Then the asset moves to the target category and the change persists and displays immediately in the library.
Real-Time Compliance Feedback
Given the user is editing a slide template, When they place an asset that violates brand guidelines, Then the system displays a real-time warning tooltip identifying the specific rule violation and suggests compliant alternatives.
Real-Time Preview Editor
"As an event host, I want to see a live preview of slide templates with my content so that I can quickly make adjustments and finalize my deck."
Description

Provides an interactive editor that displays a live preview of selected templates with the uploaded content, enabling users to adjust text, images, and layout on-the-fly. Includes toggle options to switch between different theme recommendations and immediately see design adjustments. Saves preview sessions and allows users to finalize and export the deck directly from the editor, streamlining the creation process.

Acceptance Criteria
Template Selection and Content Upload Preview
Given a user selects a slide template and uploads content (text and images), when the upload completes, then the live preview must display the content in the chosen template layout within 2 seconds without distortion.
Live Toggle Between Theme Recommendations
Given a user toggles between theme recommendations, when a new theme is selected, then the preview updates to reflect the new design and layout instantly and accurately within 1 second.
On-the-Fly Text and Image Adjustment
Given a user edits text or replaces images in the live preview editor, when edits are made, then changes immediately appear in the preview and maintain original formatting constraints without overlap or misalignment.
Saving and Retrieving Preview Sessions
Given a user saves a preview session, when the save action is confirmed, then the session is listed under 'Saved Sessions' with a timestamp and can be reloaded without data loss.
Exporting Finalized Deck from Editor
Given a user finalizes the deck in the editor, when export is initiated, then the system generates a downloadable presentation file (.pptx or .pdf) matching the live preview design within 5 seconds.
Customization Feedback Loop
"As a frequent user, I want the system to learn from my template selections so that future recommendations better match my style and needs."
Description

Captures user interactions and preferences—such as selected templates, manual adjustments, and template dwell time—to continuously refine recommendation accuracy using reinforcement learning. Provides a feedback interface prompting users to rate template suggestions, feeding back into the algorithm to improve future recommendations. Ensures the system evolves with user preferences and event trends.

Acceptance Criteria
User Rates a Template Suggestion
Given a user is presented with a template recommendation prompt, when they select a rating of 1 to 5 stars, then the system records the rating and updates the recommendation model within 2 seconds.
Automatic Refinement Based on Template Dwell Time
Given a user views a suggested template for at least 30 seconds without making adjustments, when the dwell time threshold is reached, then the system increments the template’s relevance score for future recommendations.
Manual Adjustment Feedback Capture
Given a user manually modifies a recommended template layout, when the user saves or publishes the adjusted slide, then the system logs the nature of the adjustments and associates them with the original template in the feedback dataset.
Continuous Recommendation Improvement Cycle
Given new user ratings and interaction data are available, when the reinforcement learning job runs daily, then the system retrains the recommendation model and publishes updated template suggestions with at least a 5% improvement in accuracy metrics over the previous model.
Feedback Data Visualization in Dashboard
Given feedback data is collected from ratings, dwell times, and manual adjustments, when a host views the AI-powered dashboard, then they can see aggregated feedback metrics and trends updated in real time with no more than 5 seconds latency.

Narrative Builder

Transforms raw engagement data into concise, compelling summaries for each slide, weaving metrics into a clear storyline that resonates with stakeholders and enhances report readability.

Requirements

Automated Slide Summarization
"As a marketing manager, I want an AI-generated summary for each slide so that I can quickly grasp audience engagement highlights and share clear insights with stakeholders."
Description

Generate concise, compelling summaries for each slide by analyzing raw engagement data such as poll responses, Q&A trends, and chat highlights. Leverage AI algorithms to extract key insights, key metrics, and notable audience reactions. The summaries should integrate seamlessly into the PulseMeet dashboard, updating in real time and providing a clear, narrative overview that enhances report readability and stakeholder understanding.

Acceptance Criteria
Real-time Summary Generation After Live Poll
Given a live poll concludes on a slide When the final response is recorded Then the system generates a concise poll summary within 5 seconds including question, response distribution, and key insight
Q&A Trend Summary Injection
Given a slide has collected at least 10 questions When engagement data is processed Then the summary lists the top three recurring topics, most-upvoted question, and audience sentiment
Chat Highlights Narrative Integration
Given live chat during a slide exceeds 20 messages When AI processes chat logs Then the summary highlights the top two positive comments, top two concerns, and overall sentiment score
Dashboard Live Update of Summaries
Given an active session with new engagement events When new poll, Q&A, or chat data arrives Then the slide summary updates in the dashboard view without manual refresh and within 3 seconds
Exported Report Includes Slide Narratives
Given the user exports the session report to PDF When export is initiated Then each slide in the PDF includes its generated summary formatted under the slide image with correct metrics and is legible
Engagement Metric Integration
"As a product host, I want engagement metrics woven into my slide narratives so that stakeholders can see the impact and trends behind the data."
Description

Embed real-time engagement metrics—like participation rates, response distributions, and sentiment analysis—directly into the narrative for each slide. Ensure that metrics are presented contextually, with explanations of their significance and trends over time, helping stakeholders understand not just the data but its implications. Integrate this feature into the existing dashboard, maintaining performance and usability.

Acceptance Criteria
Real-time Metric Visualization
Given a live session is active with engagement data available When the narrative slide is rendered Then real-time metrics (participation rate, response distribution, sentiment score) update within 5 seconds and reflect the latest data accurately.
Narrative Contextualization of Metrics
Given a numerical metric displayed on a slide When the narrative summary is generated Then an explanation of the metric’s significance is included, referencing percentage change over the last 10 minutes and describing implications in plain language.
Dashboard Performance Under Load
Given 100 concurrent users accessing the dashboard When engagement metrics update Then page response time remains under 2 seconds and server CPU usage does not exceed 70%.
Sentiment Analysis Accuracy
Given a test dataset of 1000 user comments When sentiment analysis is run Then at least 85% of sentiments match manual labels and any misclassifications are logged for review.
UI Integration Compatibility
Given the existing dashboard UI and the new narrative builder When the feature is deployed Then the narrative slides display without UI regressions, and existing dashboard functions remain fully operational as verified by UI regression tests.
Customizable Narrative Templates
"As a marketing lead, I want to choose and customize narrative templates so that my slide summaries match our brand voice and reporting standards."
Description

Offer a library of narrative templates that allow users to select different storytelling styles (e.g., executive summary, detailed analysis, visual-first). Allow customization of tone, length, and formatting to align with brand guidelines and audience preferences. Templates should support variable insertion for key metrics and automated section headings for consistency across reports.

Acceptance Criteria
Template Style Selection
Users can select from at least three narrative styles (executive summary, detailed analysis, visual-first) in the template library, and the chosen style persists in subsequent report sessions.
Tone Customization
Users can set the narrative tone to Formal, Casual, or Professional via a dropdown, and the narrative preview updates within 2 seconds to reflect the selected tone.
Length Adjustment
Users can choose narrative length options (Short: 100–150 words, Medium: 150–250 words, Long: 250–350 words), and the generated summary adjusts to meet the specified word count range.
Brand Formatting Compliance
Custom templates apply user-uploaded brand font, color palette, and logo to narratives, and exported PDF matches the brand style guide with no visual deviations.
Variable Metric Insertion
When a user inserts a metric placeholder (e.g., {{engagementRate}}, {{questionCount}}), the system replaces each placeholder with the correct real-time value from the dashboard in the final narrative.
Automated Section Headings
Each narrative template automatically generates section headings (e.g., Introduction, Metrics Overview, Key Insights) in the correct order, and headings remain consistent across all slides in the report.
Narrative Consistency Checker
"As a startup CMO, I want a consistency checker so that all slide narratives maintain a unified voice and accurate interpretations."
Description

Implement a consistency checker that reviews the generated narratives for tone, terminology, and structural coherence across all slides. Flag discrepancies such as conflicting metrics interpretation or style deviations. Provide suggestions or auto-corrections to ensure the report reads as a unified, professional storyline.

Acceptance Criteria
Tone and Terminology Alignment Across Slides
Given a generated narrative spanning multiple slides with specified tone and terminology guidelines; When the consistency checker runs; Then it verifies that the language matches the approved tone and terminology without deviations.
Structural Coherence in Narrative Flow
Given a slide deck narrative structure template; When the checker analyzes slide transitions; Then it confirms that each narrative segment follows the defined introduction, data insight, interpretation, and conclusion sequence.
Conflict Detection in Metric Interpretation
Given identical metrics presented in two different slides with differing interpretations; When the consistency checker compares metric descriptions; Then it flags any discrepancies and highlights the conflicting narrative sections.
Auto-Correction Suggestion for Style Deviations
Given detected style deviations such as passive voice or inconsistent formatting; When the checker processes the narrative; Then it provides in-context suggestions or auto-corrections that align the content with the style guide.
User Review and Override of Suggested Corrections
Given a list of flagged inconsistencies and suggested corrections; When the user reviews each suggestion; Then the user can accept, modify, or reject individual corrections and the final narrative updates accordingly.
Export to Report Formats
"As an event host, I want to export slide narratives and presentations into PDF or PPT so that I can distribute polished reports to stakeholders easily."
Description

Enable users to export the finalized narratives and associated slides into multiple report formats including PowerPoint, PDF, and HTML. Ensure formatting fidelity, preserving slide layouts, narratives, and embedded charts. Provide options for automated emailing or saving to integrated cloud storage solutions.

Acceptance Criteria
PowerPoint Format Export
Given a finalized narrative with associated slides, when the user selects 'Export to PowerPoint' and confirms, then the system shall generate a .pptx file that opens in PowerPoint without errors, preserving original slide layouts, narrative texts, and embedded charts (data, formatting, and interactivity intact).
PDF Format Export
Given a finalized narrative with slides, when the user selects 'Export to PDF' and confirms, then the system shall produce a .pdf file that opens in standard PDF viewers, preserving slide layouts, narrative text, and charts with legible formatting and scalable resolution.
HTML Format Export
Given a finalized narrative with slides, when the user selects 'Export to HTML' and confirms, then the system shall generate a ZIP package containing an index.html and associated assets, with slide layouts, narrative text, and interactive charts rendered correctly in modern browsers.
Automated Email Delivery
Given a generated report in any supported format, when the user chooses 'Email Report', enters a valid recipient address, and clicks 'Send', then the system shall send an email with the report attached and a confirmation message displayed; the email must arrive within 1 minute.
Cloud Storage Saving
Given a generated report, when the user selects 'Save to Cloud' and chooses an integrated service (e.g., Google Drive, Dropbox), then the system shall upload the report to the selected account, creating a folder 'PulseMeet Reports', and return the file URL; the file in cloud storage must match the exported format exactly.

Highlight Lens

Automatically detects peak engagement moments and adds visual callouts—charts, annotations, and spotlight effects—so the most impactful metrics stand out at a glance.

Requirements

Peak Engagement Detection
"As an event host, I want the system to detect when engagement peaks so that I can highlight those moments for post-session review and share with stakeholders."
Description

The system shall automatically analyze live engagement data streams including poll responses, chat activity, and Q&A rates to identify moments when user interaction metrics exceed defined thresholds, marking these as peak engagement events within the session timeline.

Acceptance Criteria
High Poll Response Spike
Given a live poll session with an average response rate defined, when the number of poll responses received within any 5-minute interval exceeds 200% of the average rate, then the system shall automatically mark and log a peak engagement event at the corresponding timestamp.
Sustained Chat Activity Surge
Given live chat activity tracking, when the chat message count per minute surpasses 50 messages for a continuous 3-minute period, then the system shall flag a peak engagement event on the session timeline and display a visual indicator.
Rapid Q&A Submission Increase
Given continuous monitoring of Q&A submissions, when the number of questions submitted within any 2-minute window exceeds 20, then the system shall annotate that timeframe as a peak engagement event labeled “Q&A Peak.”
Combined Engagement Metric Cross-Threshold
Given aggregated engagement metrics (poll responses, chat messages, Q&A submissions), when the composite engagement score exceeds the preconfigured threshold value, then the system shall create a combined peak engagement event with details of each metric.
Threshold Edge Case Handling
Given defined engagement thresholds, when live engagement metrics exactly equal the threshold values, then the system shall not flag a peak engagement event to prevent false positives.
Visual Callout Overlay
"As a marketing manager, I want visual overlays to spotlight engagement peaks during sessions so that I can immediately see which content resonates most with my audience."
Description

When a peak engagement event is detected, the UI shall overlay visual callouts—including dynamic charts, spotlight animations, and annotations—directly on the video stream or session timeline to draw attention to the key metrics in real time.

Acceptance Criteria
Chart Overlay Display
Given a peak engagement event is detected in a live poll When the UI receives the event payload Then a dynamic chart overlay appears on the video stream within 2 seconds displaying real-time poll data
Real-Time Spotlight Animation Display
Given a Q&A session receives a surge of questions When the peak engagement threshold is reached Then a spotlight animation highlights the video area where user avatars are displayed and stays active for the duration of the engagement spike
Annotation Synchronization With Engagement Spike
Given an engagement spike is logged at a specific session timestamp When the video timeline is playing Then an annotation appears exactly at that timestamp and remains visible for at least 5 seconds without obstructing video controls
Overlay Dismissal and Persistence Controls
Given a visual callout overlay is active When the host clicks the ‘Dismiss’ button or when the engagement spike ends Then the overlay fades out smoothly within 1 second and remains hidden unless a new peak event occurs
Device Resolution Compatibility
Given the session is viewed on mobile and desktop When a peak engagement event triggers overlays Then dynamic charts, spotlight animations, and annotations render correctly without layout overlap or distortion across common resolutions (mobile 375x667 and desktop 1920x1080)
Annotation Customization
"As a brand manager, I want to customize annotations for engagement peaks so that the highlights align with my company's style guidelines."
Description

The feature shall allow users to customize annotations for detected peaks, including editing text labels, selecting color schemes, adjusting spotlight intensity, and choosing from multiple chart styles, ensuring consistent branding and clarity.

Acceptance Criteria
Text Label Editing on Peak Annotations
Given a detected peak annotation is displayed, when the user clicks the annotation's text label and enters new text, then the label updates in the annotation preview and in final output matching the input exactly.
Color Scheme Selection for Annotations
Given the annotation customization panel is open, when the user selects a predefined color scheme or enters a custom HEX code, then the annotation's border and fill colors update in the preview to reflect the selected colors.
Spotlight Intensity Adjustment
Given an annotation spotlight effect is applied, when the user adjusts the intensity slider between its minimum and maximum values, then the spotlight opacity updates in the preview proportionally and within the range of 10% to 100%.
Chart Style Selection Application
Given multiple chart style options are available, when the user selects a chart style (e.g., bar, line, pie), then the peak engagement data renders in the chosen style in both preview and exported outputs.
Reset and Undo Customizations
Given the user has applied one or more customizations, when the user clicks 'Reset' or uses the 'Undo' function, then all annotation settings revert to the last saved configuration or default settings immediately.
Real-time Metric Filtering
"As a session moderator, I want to filter which metrics generate highlights so that I can tailor the visual cues to focus on the most relevant interaction sources."
Description

The system shall provide real-time controls to filter which engagement metrics trigger highlight detection (e.g., polls, Q&A, chat messages), allowing hosts to focus on specific interaction types and refine callouts accordingly.

Acceptance Criteria
Filter Poll Engagement Metrics
Given the host opens the metric filter panel When the host selects “Polls” and applies the filter Then only poll-related engagement data triggers highlight detection in real time
Filter Q&A Engagement Metrics
Given the host has an active session When the host selects “Q&A” in the filter options Then only questions and answers count toward peak engagement highlights
Filter Chat Engagement Metrics
Given multiple chat messages are flowing in When the host enables the “Chat Messages” filter Then only chat message volume influences highlight detection and callouts
Combined Metric Filtering
Given the host wants to focus on polls and chats When both “Polls” and “Chat Messages” are selected and applied Then highlight detection responds only to the combined volume of polls and chats, ignoring Q&A
Reset To Default Filter Settings
Given custom filters are applied When the host clicks the “Reset Filters” button Then all filters revert to include Polls, Q&A, and Chat Messages by default and highlight detection resumes monitoring all engagement types
Export and Share Highlights
"As a marketing team lead, I want to export highlight clips with annotations so that I can distribute key insights to colleagues and use them in promotional materials."
Description

Users shall be able to export highlighted segments with embedded visual callouts into downloadable video snippets or PDF summaries, facilitating easy sharing with team members and stakeholders for reporting and marketing purposes.

Acceptance Criteria
Export Video Snippet Generation
Given a highlighted segment is selected, when the user chooses 'Export Video Snippet', then the system generates a downloadable MP4 file containing the segment with all visual callouts intact. Given the segment duration exceeds the maximum allowed length, when the user confirms export, then the system prompts to trim the segment to the permitted length. When the export is complete, then the user is presented with a download link that remains valid for at least 24 hours.
Export PDF Summary Creation
Given one or more highlighted segments are selected, when the user chooses 'Export PDF Summary', then the system generates a PDF document containing snapshots of each segment with embedded visual callouts and annotations. When the PDF is generated, then the user can preview it in-app and verify that chart data and annotations are clearly legible. Then the user can download the PDF, and the file size does not exceed 10 MB.
Customizable Visual Callouts in Exports
Given default visual callouts are applied, when the user opens export settings, then the user can toggle callout types (charts, annotations, spotlight effects) on or off per segment. When custom callouts are selected, then the exported video or PDF reflects the user’s selection accurately.
Download Progress and Notification
When the user initiates an export, then a progress bar displays real-time export status with percentage completion. If an export fails, then the system displays an error message with an option to retry. When the export completes successfully, then the user receives an in-app notification and an email with the download link.
Sharing via Email Integration
Given an export is ready, when the user selects 'Share via Email' and enters recipient addresses, then the system sends an email with the export attached or a downloadable link. When invalid email addresses are entered, then the system displays validation errors and prevents sending until corrected.

BrandSync

Seamlessly applies your logo, color palette, and font guidelines across the entire deck. Eliminates manual styling and guarantees on-brand presentations every time.

Requirements

Brand Asset Upload
"As a marketing manager, I want to upload my company’s logos, color palettes, and font files so that BrandSync can apply our corporate identity automatically."
Description

Enable users to upload and manage brand assets including logos, color palettes, and font files directly within the PulseMeet interface. The system should support common file formats (e.g., SVG, PNG, TTF, OTF) and allow users to update or replace assets at any time. Uploaded assets are stored securely and versioned for easy rollback. This requirement ensures users have a centralized, accessible repository of brand assets that the BrandSync feature can reference to maintain consistent styling across all presentation slides.

Acceptance Criteria
Initial Logo Upload
Given a user selects a supported logo file (SVG or PNG) under 5MB and clicks Upload, When the upload completes, Then the system stores the file as version 1, displays a thumbnail in the asset library, and shows a success message.
Replacing Existing Color Palette
Given a user has an existing color palette and uploads a new palette file (e.g., JSON or image), When the upload succeeds, Then the new palette becomes active, the previous palette is versioned, and a rollback option is available.
Uploading Font File
Given a user uploads a font file in TTF or OTF format under 10MB, When the file passes format and size validation, Then the font appears in the BrandSync typography options and a confirmation notification is shown.
Unsupported File Format Rejection
Given a user attempts to upload an unsupported file type (e.g., DOCX), When the upload is initiated, Then the system rejects the file, displays an error message explaining the unsupported format, and does not store any asset.
Asset Version Rollback
Given a user views an asset’s version history and selects a previous version to restore, When they confirm the rollback, Then the selected version becomes the current asset, and the system logs the rollback as a new version.
Automated Theme Application
"As a marketing manager, I want the system to automatically apply our brand’s colors, fonts, and logos to every slide so that I don’t have to style slides manually."
Description

Develop an engine that analyzes uploaded brand assets and automatically applies the appropriate color schemes, fonts, and logo placements across every slide in a presentation. The engine should map brand colors to theme elements (backgrounds, accents, text) and replace placeholder fonts with uploaded typography. Integration with the slide editor must be seamless, applying changes in bulk while preserving slide content hierarchy and layout integrity. This functionality eliminates manual styling and guarantees on-brand presentations with minimal user intervention.

Acceptance Criteria
Bulk Theme Application
Given a presentation with multiple slides and uploaded brand assets, when the user selects 'Apply Theme to All', then every slide updates to use the brand’s primary and secondary colors for backgrounds and accents, the brand font for all text placeholders, and the brand logo in the predefined position without altering content hierarchy or layout integrity.
Single Slide Theme Application
Given a presentation open on a specific slide and uploaded brand assets, when the user selects 'Apply Theme to Current Slide', then only the active slide updates with the correct brand colors, fonts, and logo placement while preserving its existing layout and content order.
Color Mapping Accuracy
Given a set of predefined theme elements (backgrounds, accents, charts) and an uploaded brand color palette, when the theme engine maps colors, then each element uses the exact corresponding brand color as defined in the asset mapping without deviations.
Font Replacement Verification
Given placeholder fonts on slides and custom brand typography uploaded, when the theme engine applies fonts, then all slide text replaces placeholder fonts with the uploaded brand font across titles, body text, and captions without altering text size, style, or alignment.
Logo Placement Consistency
Given the brand logo asset and placement guidelines, when the theme engine applies the logo to slides, then the logo appears at the correct position and size on every slide, maintains its aspect ratio, and does not overlap or obstruct other content.
Performance and Scalability
Given a large presentation with over 200 slides and multiple high-resolution brand assets, when the user initiates the bulk theme application, then the process completes within 30 seconds without causing application freezes, errors, or data loss.
Style Consistency Verification
"As a marketing manager, I want to see any off-brand elements highlighted in my deck so that I can correct them before sharing."
Description

Implement a verification tool that scans slides post-branding and highlights any elements that deviate from the defined brand guidelines. The tool should flag off-brand color usage, incorrect font applications, and improper logo sizes or placements. A detailed report and in-editor annotations guide users to resolve inconsistencies quickly. By providing prescriptive feedback, this requirement ensures every slide consistently adheres to company branding standards before presentation.

Acceptance Criteria
Off-Brand Color Detection
Given a presentation slide with graphic elements, when the verification tool scans the slide, then it flags each element whose fill or stroke color is not in the approved brand color palette and lists the element name, slide number, and actual color code.
Incorrect Font Application Detection
Given a slide containing text elements, when the tool analyzes typography, then it identifies any text using fonts outside the defined brand font list, flags the text element with slide number and font name, and suggests the correct brand font.
Logo Size and Placement Verification
Given slides embedding the company logo, when the verification tool evaluates logo usage, then it flags logos that fall outside the specified size range or placement margins and reports the actual dimensions, position, and guideline deviations.
Comprehensive Consistency Report Generation
Given a completed scan of the presentation deck, when the tool finalizes its analysis, then it generates a detailed report summarizing all branding inconsistencies by slide number, element type, issue description, and recommended corrective action in PDF and HTML formats.
In-Editor Annotation of Branding Issues
Given a slide open in the editor environment, when the user triggers a branding scan, then the tool overlays visual markers and clickable annotations on each inconsistent element, displaying issue details and links to relevant brand guideline documentation.
Branded Template Creation
"As a marketing manager, I want to create and save a branded template so that my team can start new decks fully aligned with our corporate style."
Description

Allow users to generate custom presentation templates based on their brand assets, pre-populating layouts with branded headers, footers, and example slide designs. Users should be able to save these templates for future use, share them with teammates, and set a default template at the organizational level. This requirement streamlines the creation of new presentations, ensuring every deck starts with a fully on-brand framework.

Acceptance Criteria
Template Generation from Brand Assets
Given a user uploads their logo, color palette, and font guidelines When the user clicks the "Generate Template" button Then the system creates a new presentation template with branded headers, footers, and example slide designs reflecting the uploaded assets
Template Saving and Retrieval
Given a user has generated a branded template When the user saves the template with a unique name Then the template appears in the user's "My Templates" list and can be previewed
Template Sharing with Teammates
Given a user selects a saved template When the user enters teammate email addresses and clicks "Share" Then the specified teammates gain view/edit access and the template appears in their shared templates list
Default Organizational Template Setting
Given an organization admin views the templates list When the admin selects a template and marks it as "Default for Organization" Then all new and existing users see this template pre-selected in the new presentation dialog
Template Editing and Updating
Given a user opens an existing branded template When the user updates assets or design elements and saves changes Then the system replaces the old version with the updated template in all relevant lists
Real-time Brand Preview Panel
"As a marketing manager, I want a live preview of my branding changes on each slide so that I can fine-tune the look in real time."
Description

Integrate a live preview panel into the slide editor that displays the current branding theme applied to selected slides. Users can toggle the panel to see immediate updates as they adjust brand assets or theme settings. The panel should support side-by-side comparisons between original and branded slide versions and offer quick revert controls. This requirement enhances user confidence by providing instant visual feedback on branding changes.

Acceptance Criteria
Toggle Preview Panel Visibility
Given the user is editing a slide When the user clicks the preview toggle button Then the preview panel should appear or disappear within 200ms without affecting editor performance
Real-Time Theme Update
Given the user updates a branding asset (logo, color, or font) When the change is applied Then the preview panel must reflect the new branding theme within 500ms
Side-by-Side Slide Comparison
Given the user enables comparison mode When two versions of a slide are selected Then the panel displays original and branded slides side-by-side with synchronized navigation controls
Quick Revert Control
Given a branded slide is displayed in the preview panel When the user clicks the revert button Then the slide styling reverts to the original version and the preview updates immediately
Responsive Panel Layout
Given the user resizes the browser window When the width is between 768px and 1920px Then the preview panel adjusts layout to remain fully visible and legible without content overflow

InstantShare

Exports your branded slide deck in multiple formats (PDF, PPTX, web link) with one click. Includes built-in view tracking so you can monitor stakeholder engagement and follow up effectively.

Requirements

One-click Export
"As a marketing manager, I want to export my branded slide deck in multiple formats with one click so that I can quickly share presentations with stakeholders without manual formatting."
Description

Allows users to export the current slide deck into multiple formats (PDF, PPTX, web link) with a single click. The export preserves slide formatting, branding elements, speaker notes, and embedded media. It integrates seamlessly into the PulseMeet interface, displaying a progress indicator and confirmation when the export completes. The backend conversion service handles format transformations, ensuring high fidelity across outputs.

Acceptance Criteria
Export to PDF
Given a slide deck containing slides with various formatting, branding elements, speaker notes, and embedded media, when the user clicks "Export" and selects PDF, then the system generates and automatically downloads a PDF file within 30 seconds, preserving all slide formatting and branding, including speaker notes on each slide, and providing hyperlinks for embedded media.
Export to PPTX
Given a slide deck loaded in the editor, when the user clicks "Export" and selects PPTX, then the system generates and downloads a PPTX file that retains the original slide formatting, branding elements, speaker notes, and embedded media, with the downloaded file named according to the slide deck title.
Export to Web Link
Given a slide deck ready for sharing, when the user clicks "Export" and selects Web Link, then the system generates a unique, accessible URL within 30 seconds that displays the slide deck in a web viewer preserving formatting and branding, and provides the link for copying.
Progress Indicator Display
Given an export process is initiated, when the backend conversion starts, then the UI displays a progress indicator that updates at least every 5% completion and reaches 100% before indicating completion.
Confirmation Notification Upon Completion
Given the export process completes successfully, when the conversion service finishes, then the UI shows a confirmation message with a download link or copy link button, and the message disappears after 5 seconds or when dismissed by the user.
Error Handling on Failed Export
Given an export process encounters an error, when the backend conversion fails, then the UI displays an error notification specifying the failure reason and presents options to retry the export or cancel.
Format Selector Panel
"As a marketing manager, I want to choose the export format and configuration settings so that the output meets the recipient's requirements without manual adjustments."
Description

Provides a user interface for selecting desired export formats and configuration options. Users can choose between PDF, PPTX, and web link outputs, toggle inclusion of speaker notes, adjust page size and orientation, and enable interactive web link features. The panel offers presets and previews to streamline the selection process.

Acceptance Criteria
Single Format Selection
Given the Format Selector Panel is open When the user selects 'PDF' format And clicks the Export button Then the system generates a single PDF file matching the selected document
Multiple Format Selection
Given the Format Selector Panel is open When the user selects both 'PDF' and 'PPTX' formats And clicks the Export button Then the system generates both files in a single download package
Speaker Notes Inclusion Toggle
Given the Format Selector Panel displays an 'Include Speaker Notes' toggle When the user enables the toggle and exports Then the exported files include speaker notes per slide
Preset Configuration Application
Given the Format Selector Panel is open When the user applies a saved preset configuration Then the panel auto-populates format, orientation, page size, and notes options according to the preset
Preview Reflects Configuration
Given the user has selected specific export options When the user views the preview pane Then the preview updates in real-time to reflect the chosen page size, orientation, and content inclusion
Branded Theme Application
"As a marketing manager, I want my exported slide decks to automatically apply my company's branding so that presentations are consistent with our brand guidelines and look professional."
Description

Automatically applies company branding—logo, color palette, fonts, and footer details—to all exported assets. The feature pulls theme settings from the account’s branding configuration, ensuring that every export adheres to brand guidelines. It supports default templates and custom layout overrides.

Acceptance Criteria
Default Branded Theme Export
Given an account with complete branding configuration When the user exports a slide deck using InstantShare without custom overrides Then the exported PDF, PPTX, and web link must include the configured logo, apply the color palette and fonts consistently, and display the footer details on each slide in all formats
Custom Layout Override Export
Given an account’s default branding and a user-applied custom layout override When exporting the slide deck using InstantShare Then the exported assets must merge the custom layout with the account’s logo, color palette, fonts, and footer, ensuring no branding elements are missing
Branding Configuration Change Propagation
Given previously exported assets with old branding When the account admin updates branding settings and the user exports a new slide deck Then all newly exported PDF, PPTX, and web link assets must reflect the updated logo, colors, fonts, and footer details
Missing Branding Asset Fallback
Given an account with missing branding assets such as a logo or custom font When exporting a slide deck Then the system must apply default fallback assets for missing items, apply available branding settings without errors, and complete the export process successfully
Multi-format Branding Verification
Given a branded slide deck ready for export When the user exports to PDF, PPTX, and web link Then each format must be validated to contain identical branding elements (logo, colors, fonts, footer) and verify that the view tracking code is embedded in the web link export
View Tracking Integration
"As a marketing manager, I want to track when and how recipients view my shared slide deck so that I can follow up with engaged stakeholders effectively."
Description

Embeds unique tracking identifiers and analytics scripts into exported web links and document metadata. Captured events include views, downloads, time spent on each slide, and interaction metrics. These events flow into the AI-powered dashboard in real time, providing hosts with actionable engagement insights.

Acceptance Criteria
Stakeholder Opens Web Link
Given a stakeholder clicks the exported web link containing the unique tracking identifier When the page loads successfully Then the system logs a 'view' event with the correct identifier and streams the event to the AI dashboard within 5 seconds
Stakeholder Downloads Document
Given a stakeholder clicks the download button on the PDF or PPTX export When the download is initiated Then the system records a 'download' event with file metadata and user identifier, and the event appears in the dashboard in real time
Stakeholder Spends Time on Slide
Given a stakeholder navigates to slide 5 in the exported web viewer When the stakeholder remains on that slide for more than 10 seconds Then the system captures a 'time_spent' event with slide number and duration, and reflects it in the dashboard metrics
Stakeholder Clicks Embedded Link
Given a stakeholder clicks a hyperlink embedded in an exported slide When the click occurs Then the system logs an 'interaction' event with hyperlink metadata and user identifier, and the interaction shows up in the dashboard immediately
Multiple Stakeholder Views
Given multiple stakeholders access the same web link concurrently When each stakeholder views the content Then the system records separate 'view' events for each stakeholder and aggregates the count correctly in the dashboard
Real-time Dashboard Update
Given any tracking event (view, download, time_spent, interaction) is generated When the event is captured Then the AI-powered dashboard updates live without requiring a manual refresh, reflecting the new event metrics within 3 seconds
Access Control & Link Security
"As a marketing manager, I want to secure my shared slide deck links with passwords and expiration so that only authorized stakeholders can view my presentations and data remains confidential."
Description

Enables secure sharing of exported web links by providing options for password protection, link expiration, and domain whitelisting. Integrates with the authentication service to enforce view and download permissions, ensuring only authorized stakeholders access the content.

Acceptance Criteria
Password Protected Link Access
Given a user has generated a web link with password protection enabled When an external stakeholder attempts to view the link without entering the password Then the system must deny access and prompt for the correct password Given an external stakeholder enters the correct password When they submit the password form Then the system must grant view access to the content
Link Expiration Enforcement
Given a web link has an expiration date set When the current date and time exceed the expiration date Then the system must prevent any view or download attempts and display an expiration notification
Domain Whitelisting Restriction
Given domain whitelisting is configured with a list of authorized domains When a user from a non-whitelisted domain attempts to access the link Then the system must deny access and display a domain restriction error message
Authenticated User Permission Check
Given the authentication service is integrated When a logged-in user without view permission attempts to access the link Then the system must check their permissions and deny access if view rights are missing Given a logged-in user with view permission When they access the link Then the system must allow view access without additional prompts
Download Permission Enforcement
Given a web link is set to allow only viewing When an authorized user attempts to download the content Then the system must disable the download button and log the download attempt

Product Ideas

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

Live Emoji Pulse

Displays a scrolling bar of attendee emojis reacting in real time, letting hosts gauge sentiment instantly.

Idea

PollPilot

AI analyzes live chat to suggest the next poll question, boosting relevance and doubling response rates mid-event.

Idea

Engage Heatmap

Generates a color-coded slide showing peak chat, poll, and question hotspots across your session, spotlighting engagement spikes for replay reviews.

Idea

Sponsor Spotlight

Auto-launches branded sponsor shoutouts when attendees hit engagement milestones, driving sponsor visibility and rewarding audience participation.

Idea

Insight Snapshot

Auto-generates a branded slide deck summarizing key engagement metrics and highlights, speeding post-event reporting by 80%.

Idea

Press Coverage

Imagined press coverage for this groundbreaking product concept.

P

PulseMeet Unveils Engage Heatmap to Illuminate Real-Time Virtual Event Engagement

Imagined Press Article

New York, NY – May 10, 2025 – PulseMeet, the leading AI-driven engagement platform for virtual events, today announced the launch of Engage Heatmap, a groundbreaking visualization tool designed to help hosts and analysts gain instantaneous insight into audience participation patterns. By producing a dynamic, color-coded representation of chat activity, polls, and Q&A spikes, Engage Heatmap transforms raw engagement data into an intuitive graphic that reveals peak interaction moments and uncovers hidden trends throughout any session. Virtual event marketers and hosts often struggle to interpret high-volume engagement data in real time. Traditional dashboards deliver numbers; Engage Heatmap tells a story. Each vertical band on the heatmap corresponds to a specific timeframe—colored bands growing in intensity indicate surges of chat messages, poll responses, or questions. Hosts can zoom into any segment with the new Focus Lens control to analyze micro trends, while analysts can leverage Compare View to perform side-by-side analyses of multiple events or audience segments. "We built Engage Heatmap because data without context is just noise," said Sarah Langford, Chief Product Officer at PulseMeet. "Our customers have been inundated with charts, graphs, and raw numbers, but they wanted clarity. Now, with a glance, they can see exactly when and how their audience engages. It’s the difference between reading a spreadsheet and viewing a live map of attendee sentiment and participation." Early adopters have reported a 30% reduction in post-event analysis time and a 20% increase in actionable insights. Growth Catalyst users noted that Engage Heatmap’s Spike Notes annotations, which automatically highlight top interaction peaks with contextual details, were instrumental in refining follow-up campaigns. In one case study, a B2B tech startup leveraged the heatmap’s Layer Control to isolate poll performance during key product demos, revealing a 15% higher response rate than previously recorded. Beta tester Analytical Alex, Marketing Analyst at InnovateTech, praised the feature: "Engage Heatmap has flipped our debrief process on its head. Instead of spending hours sifting through logs, we can immediately identify the ‘wow’ moments and drill down in seconds. The ability to compare events also means we can benchmark our webinars against larger summit sessions and replicate our most successful engagement strategies." Engage Heatmap is available immediately to all PulseMeet subscribers at no additional cost. The feature integrates seamlessly with PulseMeet’s Sentiment Spectrum and Reaction Timeline, offering a unified engagement analytics suite. Hosts can customize color gradients, filter by interaction type, and export high-resolution snapshots for stakeholder presentations. For more information about Engage Heatmap or to schedule a demonstration, please visit www.pulsemeet.com/engage-heatmap. About PulseMeet PulseMeet energizes virtual events for tech startup marketing managers by embedding live polls, Q&A, chat, and sentiment analytics into every session. Its AI-powered dashboard surfaces real-time engagement data, empowering hosts to adapt instantly, boost participation, and convert passive audiences into active, high-retention communities. Media Contact: Jessica Molina Head of Public Relations, PulseMeet press@pulsemeet.com (646) 555-0123 www.pulsemeet.com

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PulseMeet Launches PollPilot AI to Double Poll Response Rates Mid-Event

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New York, NY – May 10, 2025 – PulseMeet, the premier interactive event platform for tech startups, today announced the rollout of PollPilot AI, a smart, real-time polling assistant designed to dramatically increase participant response rates and keep virtual audiences fully engaged. PollPilot leverages advanced natural language processing to analyze live chat streams, detect trending discussion topics, and suggest highly relevant poll questions at the optimal moment to capture audience interest and feedback. With virtual events facing sluggish participation rates in static Q&A and poll segments, hosts have long sought a solution to maintain momentum. PollPilot AI addresses this challenge by scanning chat language patterns for keywords, sentiments, and emerging themes. It then proposes targeted poll questions in PulseMeet’s dashboard, complete with recommended answer scales, phrasing, and launch timing. One-click activation means hosts can deploy responsive polls seamlessly without disrupting the event flow. “We wanted to give event hosts a co-pilot for engagement,” explained Raj Patel, Vice President of Engineering at PulseMeet. “PollPilot AI learns from each session, building a rich context model that evolves in real time. The result is poll questions that feel deeply relevant to participants, driving response rates that far exceed industry averages.” During early field tests, organizers reported a doubling of poll completion rates—rising from 25% to as high as 55% on average. Engagement Analysts monitoring complex product demos found that deploying PollPilot-recommended polls at sentiment highs improved audience satisfaction scores by 18%. One Growth Catalyst client attributed a 40% increase in qualified leads directly to insights gained through PollPilot-driven polls that surfaced critical buyer preferences. “PollPilot has revolutionized how we gather audience feedback,” said Facilitating Fiona, Senior Event Manager at BrightLaunch Studios. “The AI suggestions are uncanny—they capture exactly what our attendees are talking about in the moment. It’s like having a seasoned moderator whispering the perfect question in your ear.” PollPilot AI is available to all PulseMeet customers on the Engage Pro and Enterprise plans starting today. PulseMeet will host a series of free webinars and on-demand tutorials to help users leverage PollPilot’s full potential, from customizing AI thresholds to integrating question data into post-event reports. For more details or to register for an upcoming PollPilot workshop, visit www.pulsemeet.com/pollpilot. About PulseMeet PulseMeet energizes virtual events for tech startup marketing managers by embedding live polls, Q&A, chat, and AI-driven engagement tools into every session. Its AI-powered dashboard surfaces real-time engagement data, empowering hosts to adapt instantly and convert passive audiences into active, high-retention communities. Media Contact: Jessica Molina Head of Public Relations, PulseMeet press@pulsemeet.com (646) 555-0123 www.pulsemeet.com

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PulseMeet Introduces Sponsor Spotlight for Dynamic Brand Exposure and Audience Rewards

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New York, NY – May 10, 2025 – PulseMeet, the industry leader in virtual event engagement solutions, today unveiled Sponsor Spotlight, an innovative feature that dynamically integrates sponsor messages into live sessions based on participant interaction levels. Sponsor Spotlight combines real-time engagement analytics with customizable themes and AI-driven scheduling to deliver brand messages at peak audience attention moments, ensuring maximum visibility and sponsor ROI. As virtual event sponsorship becomes increasingly competitive, marketing teams must prove tangible value to brand partners. Sponsor Spotlight automates shoutouts whenever attendee engagement surpasses predefined thresholds—such as chat surges, poll spikes, or Q&A bursts—ensuring that sponsor messages appear when participants are most receptive. The feature supports multiple levels of shoutouts through Tiered Spotlight, rotating sponsor content, and interactive Sponsor Cards that allow attendees to click through, explore offers, and connect with sponsors directly within the session. “Sponsor Spotlight addresses a critical need for sponsors to see real-time performance data on their brand exposure,” said Emily Zhao, Chief Marketing Officer at PulseMeet. “We’ve merged our engagement analytics with customizable activation rules so that sponsors get context-sensitive visibility, and hosts can focus on content delivery rather than manual timing of shoutouts.” During a recent tech startup conference leveraging Sponsor Spotlight, one sponsor reported a 25% click-through rate on interactive sponsor cards—double the typical industry benchmark for virtual events. Dynamic Sponsor Rotation functionality ensured equitable exposure for multiple sponsors, while the AI Spotlight Scheduler predicted optimal shoutout intervals, minimizing disruption and maximizing attendee retention. Community Builder users have praised Sponsor Spotlight’s Custom Theme Builder, which tailors the look and feel of each sponsor shoutout to align with event branding and sponsor guidelines. “We can integrate sponsor animations and color palettes seamlessly into our session design,” said Onboarding Owen, Customer Success Lead at PulseMeet. “Sponsor Spotlight makes every brand interaction feel native to the experience, driving both engagement and sponsor satisfaction.” Sponsor Spotlight comes standard on PulseMeet’s Engage Enterprise plan and is available as an upgrade for Pro subscribers. PulseMeet’s Spotlight Performance Hub offers real-time metrics—such as impression counts, click rates, and engagement duration—and exports detailed reports for post-event ROI analysis. To explore Sponsor Spotlight or schedule a personalized demo, visit www.pulsemeet.com/sponsor-spotlight. About PulseMeet PulseMeet energizes virtual events for tech startup marketing managers by embedding live polls, Q&A, chat, and AI-powered engagement tools into every session. Its real-time analytics and automated features convert passive audiences into active communities and strengthen sponsor partnerships. Media Contact: Jessica Molina Head of Public Relations, PulseMeet press@pulsemeet.com (646) 555-0123 www.pulsemeet.com

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