| Metric | Target (MVP) | Measurement Tool | |--------|--------------|-------------------| | Adoption Rate | ≥ 30 % of active users invoke the feature weekly | Analytics events | | Conversion (accepted suggestions) | ≥ 15 % of suggestions accepted | Backend DB | | Latency | ≤ 800 ms 95th percentile | APM (e.g., New Relic) | | Feedback Score | ≥ 4/5 average | In‑app rating UI |
Some users have noted a recent increase in AI-generated content on the platform, leading to community discussions on how to filter or block these items. hnetaiforce
| ID | As a … | I want to … | So that … | |----|--------|-------------|-----------| | US‑01 | | click a “Get AI Help” button while editing a document | I receive relevant suggestions without leaving the page. | | US‑02 | Power user | see a “Why this suggestion?” tooltip | I understand the reasoning and can trust the AI. | | US‑03 | Admin | view aggregate usage stats for hnetaiForce | I can evaluate ROI and decide on future investment. | | US‑04 | Developer | toggle the feature on/off via a feature flag | I can safely test in production without affecting all users. | | Metric | Target (MVP) | Measurement Tool
| Phase | Duration | Tasks | Owner | |-------|----------|-------|-------| | | 1 day | Answer clarification questions, lock down requirements. | PM / PO | | 1 – Architecture | 2 days | Define API contract, create feature flag, set up AI service credentials. | Backend Lead | | 2 – Backend | 4 days | Implement /insights & /feedback endpoints, integrate with OpenAI, add DB tables, write unit tests. | Backend Engineer | | 3 – Frontend | 5 days | Build the floating panel component, connect to new API, add loading & error states, write storybook stories. | Frontend Engineer | | 4 – QA & Testing | 2 days | End‑to‑end tests (Cypress / Playwright), performance testing, accessibility audit. | QA Engineer | | 5 – Beta Release | 1 day | Enable feature flag for 5 % of users, monitor metrics, collect feedback. | DevOps | | 6 – Iterate | Ongoing | Fix bugs, improve prompt engineering based on feedback, add analytics dashboards. | All | | | US‑03 | Admin | view aggregate
// Persist raw suggestion for analytics await db('hnetai_suggestions').insert( suggestions.map(s => ( user_id: userId, suggestion_id: s.id, suggestion: s.text, confidence: s.confidence, )) );
You would mount this router in your main app.js and protect it with your authentication middleware.