Product Feature Request Workflow
Capture, qualify, and prioritize feature requests from customers and internal teams with an adaptive intake flow that produces PRD-ready briefs and auto-creates backlog items with scoring.
Request Capture
Stakeholders submit a feature idea via shareable link, in-app widget, or CRM integration. The platform auto-detects the request type (net-new feature, enhancement, bug/UX papercut) and tags metadata (customer, account tier, product area).
User: “Add SSO with Okta for enterprise tenants.” → Auto-tags: {type:'Feature', productArea:'Auth', accountTier:'Enterprise', source:'CSM'}
AI Intake Survey Begins
Adaptive Question Engine tailors prompts to clarify the problem, desired outcome, and impacted personas. Inline validations ensure clean inputs; file uploads (screenshots, CSVs, logs) enrich context.
AI: “What job-to-be-done does this feature unlock?” · “Which user roles need it?” · “How will you measure success (e.g., SSO adoption %, login failures ↓)?”
De-duplication & Context Merge
Semantic Deduplication checks embeddings against existing ideas to prevent duplicates. If a match is found, the request is merged, vote counts are aggregated, and prior evidence (tickets, conversations, NPS comments) is surfaced inline.
AI: “Similar request found: ‘Okta SSO for enterprise (FR-1284).’ I’ll merge this and attribute it to Acme Corp + 3 other accounts.”
Evidence & Impact Sizing
The system collects impact signals (affected accounts, ARR at risk/opportunity, support volume, time criticality). It proposes draft RICE/WSJF scores using captured inputs and lets PMs adjust thresholds.
Draft scoring → RICE: Reach=1.8k users, Impact=High, Confidence=0.75, Effort=8 • WSJF: (Cost of Delay / Effort) auto-estimated; PM can override.
Fatigue Detection & Smart Completion
If responses shorten or stall, the platform summarizes what it has and requests confirmation. Once coverage threshold is met, the intake ends without unnecessary questions.
AI summary: “Need Okta SSO for enterprise admins; success = 80% SSO adoption in 60 days, support tickets ↓ by 50%. Data sources: CS notes + Zendesk tags ‘login’.”
Automated PRD Stub & Backlog Items
Generates a lightweight PRD/1-pager (problem, users, JTBD, outcomes, non-goals, dependencies, risks). Converts into an Epic with user stories and acceptance criteria using your templates, then pushes to Jira/Linear/Asana with labels, components, and draft estimates.
Epic: “Okta SSO (Enterprise)” → Stories: ‘OIDC config’, ‘Just-in-time user provisioning’, ‘Group mapping’, ‘Admin toggle + docs’—all with AC and links to evidence.
Review, Prioritize, and Track
PMs review auto-scored requests in a prioritized queue, adjust scores, and slot into roadmaps. Requesters see status without back-and-forth (Received → Under Review → Planned → In Progress → Released).
Backlog view sorted by WSJF; Okta SSO moves to ‘Planned Q4’. Requesters from merged threads get notified and can follow the Epic’s status link.
Key Benefits
Transform your workflow with these powerful advantages
Consolidates duplicates and aggregates demand signals
Produces PRD-ready briefs and templated backlog items
Auto-scores with RICE/WSJF for faster prioritization
Gives stakeholders transparent status without email chains