Product Feature Request Workflow
Feature requests usually arrive as one-liners in Slack. Uptaik turns that into a conversation that captures the why, the who, and the priority before it hits your backlog.
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 problem does this feature solve?" · "Which user roles need it?" · "How will you measure success (e.g., SSO adoption %, login failures down)?"
De-duplication & Context Merge
Before creating a new backlog item, Uptaik checks whether someone already asked for the same thing. If so, it merges the requests, adds the new signal, and shows you how many teams have asked for it.
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
Some requesters write a paragraph. Others write a sentence. Uptaik adapts: if the signal is strong enough, it stops asking and shows a summary for sign-off.
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 exactly where their idea stands without sending a single follow-up email.
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
Five teams asking for the same thing shows up as one item with five votes
PRD stubs and backlog items write themselves from the intake
RICE and WSJF scores are drafted before the PM even opens the queue
Requesters stop asking 'did anyone see my feature request?'