Every product team has more ideas than capacity. The hard part isn't generating ideas — it's knowing which ones matter most.
Stakeholders have opinions. Sales has requests. Support has escalations. Everyone thinks their priority is urgent.
What do customers actually want?
Quantify demand, don't guess
Pelin aggregates feature requests from across your tools:
Automatic deduplication — "Dark mode" and "night theme" and "dark UI" are the same request.
Volume tracking — How many customers asked for this?
Segment breakdown — Is this an enterprise need or SMB?
Revenue weighting — What's the ARR behind this request?
Move from anecdotes to data
Instead of: "I've heard a few customers ask for this."
Say: "47 customers representing $1.2M ARR have requested this feature. 80% are enterprise accounts."
That's a prioritization conversation you can actually have.
Connect requests to context
Every feature request links back to the original conversations:
- See how customers describe the problem
- Understand the use case behind the request
- Read the exact words they used
- Know which customers to follow up with
Track trends over time
Is this a growing demand or a one-time spike?
Pelin shows request volume over time, so you can spot emerging needs before they become urgent.