Mobile teams drown in reviews, then still guess what to build next.
I wanted a repeatable way to turn App Store + Google Play feedback into decisions we can actually ship.
This is the workflow that worked for us.
The Problem
Most review analysis fails for one reason: it stops at sentiment.
“Users are unhappy” is not a roadmap input.
What we need is: what to build, why now, and what evidence supports it.
The Workflow (Practical + Fast)
1) Pick 3-5 direct competitors
Not random apps. Only products users compare you against during purchase or churn.
2) Pull recent reviews from both stores
Use a fixed time window (for example, last 60-90 days) so trends are current.
3) Group feedback into decision buckets
- Missing features (opportunities)
- Complaints / friction (risk)
- What users already love (strength to protect)
4) Rank opportunities, don’t list them
I score each theme on:
- frequency
- severity
- fit with product direction
This creates a priority order instead of a giant unstructured list.
5) Require evidence before roadmap discussion
Every proposed feature gets supporting review quotes.
No quote = no priority discussion.
Why this works
It shifts roadmap conversations from opinions to evidence:
- less “I think”
- more “users repeatedly asked for this, here are the quotes”
That changes sprint planning quality immediately.
What we built from this
We ended up building Riveora to automate this process:
- ingest App Store + Google Play reviews
- surface ranked opportunities and complaints
- show evidence quotes behind each insight
If useful, I can share the exact scoring template we use in the comments.
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