User Scenarios & User Stories
Document Information
Version: 1.0
Date: August 27, 2025
Project: StressLess – Offline-First ECAPA-TDNN Stress Monitoring
Owner: Senior Business Analyst
Status: Draft
Table of Contents
Introduction
User Scenarios
User Stories
1. Introduction
This document captures all major user scenarios and corresponding user stories for StressLess, an Android app for real-time, offline stress detection powered by SpeechBrain ECAPA-TDNN and NPU acceleration. Scenarios span individual employees, team managers, and system administrators.
2. User Scenarios
2.1 Basic Employee Use
First-time onboarding with privacy consent
One-tap stress check with voice recording
View immediate stress level and confidence
Add contextual factors (location, activity)
Review personal stress history and weekly patterns
2.2 Advanced Employee Use
Receive personalized wellness recommendations
Chat with AI wellness coach for stress relief tips
Set and track stress reduction goals
Export personal stress report for healthcare consultation
Automatic offline operation in low-connectivity
2.3 Remote & Field Worker Use
Noise filtering guidance for field environments
Offline mode with local model fallback
Sync results when connectivity returns
Wearable data correlation (optional)
2.4 Manager & Team Lead Use
View anonymized team stress trends (min 3 users)
Correlate team stress spikes with project deadlines
Receive proactive team burnout risk alerts
Recommend workload adjustments and team interventions
Monitor intervention effectiveness over time
2.5 HR & Wellness Coordinator Use
Access organization-wide stress dashboard
Benchmark departments against company averages
Measure ROI of wellness programs and interventions
Predict seasonal stress patterns for resourcing
Generate compliance reports for GDPR audit
2.6 System Administrator Use
Configure NPU and delegate preferences
Push offline model updates and allow-list JSON
Monitor device performance and error logs
Manage secure key rotation for encrypted data
Oversee background sync and model caching
3. User Stories
3.1 Employee User Stories
US-E001 Must Have
As an employee, I want to complete a one-time onboarding with clear privacy consent, so that my voice data is processed locally and I understand how my data is used.
US-E002 Must Have
As an employee, I want to perform a quick stress check with a single tap and voice prompt, so that I can instantly see my stress level even without internet.
US-E003 Must Have
As an employee, I want to view my stress result on a 1–10 scale with confidence indicator, so that I can gauge my current stress accurately.
US-E004 Should Have
As an employee, I want to add contextual tags (location, activity, mood) to each assessment, so that I can later identify stress triggers.
US-E005 Should Have
As an employee, I want to browse my stress history and weekly trends in a chart, so that I can monitor patterns and improvements over time.
US-E006 Should Have
As an employee, I want to receive personalized wellness recommendations based on my stress level and context, so that I can take effective stress-reduction actions.
US-E007 Could Have
As an employee, I want to chat with an AI wellness coach, so that I can get conversational stress-relief tips and motivation.
US-E008 Could Have
As an employee, I want to set stress reduction goals and track progress, so that I stay motivated in improving my wellbeing.
3.2 Remote & Field User Stories
US-R001 Must Have
As a remote worker, I want noise-filtering guidance before recording, so that my stress analysis quality remains high in noisy environments.
US-R002 Must Have
As a field employee, I want the app to work fully offline and queue results, so that I can use it without connectivity and sync later.
US-R003 Should Have
As a field employee, I want automatic sync of offline results when I regain connectivity, so that my assessments are backed up to the organizational dashboard.
3.3 Manager User Stories
US-M001 Must Have
As a team manager, I want to view anonymized stress trends for my team (minimum three members), so that individual privacy is preserved while I monitor collective wellbeing.
US-M002 Must Have
As a team manager, I want proactive alerts when my team’s average stress exceeds a threshold, so that I can intervene before burnout occurs.
US-M003 Should Have
As a team manager, I want to see correlations between team stress and project deadlines, so that I can reschedule or reassign tasks to balance workload.
US-M004 Could Have
As a team manager, I want to recommend targeted team wellness activities via the app, so that I can support my team with interventions at the right time.
3.4 HR & Wellness Coordinator User Stories
US-H001 Must Have
As an HR coordinator, I want an organization-wide stress dashboard, so that I can benchmark departments and identify areas needing support.
US-H002 Should Have
As an HR coordinator, I want to measure ROI of wellness programs by correlating stress reduction with productivity metrics, so that I can justify further investments.
US-H003 Should Have
As an HR coordinator, I want predictive analytics for seasonal stress patterns, so that I can proactively allocate wellness resources.
US-H004 Must Have
As an HR coordinator, I want to generate GDPR-compliant privacy and consent reports, so that I can demonstrate full regulatory compliance.
3.5 System Administrator User Stories
US-S001 Must Have
As a system administrator, I want to configure and update offline models via an allow-list JSON, so that the app always uses approved ECAPA-TDNN and support models.
US-S002 Must Have
As a system administrator, I want to select the optimal delegate (NPU/GPU/CPU) at runtime, so that performance is maximized across diverse devices.
US-S003 Should Have
As a system administrator, I want to view error logs and performance metrics, so that I can troubleshoot issues and ensure reliability.
US-S004 Should Have
As a system administrator, I want to rotate encryption keys securely, so that local data remains protected and compliant.
US-S005 Could Have
As a system administrator, I want to schedule background sync and maintenance tasks, so that app updates and data backups occur without user disruption.
This set of user scenarios and stories covers the full spectrum of interactions and requirements for StressLess’s Android app using SpeechBrain ECAPA-TDNN as the primary stress detection engine, ensuring a robust, privacy-first, offline-capable solution.