Use Case

Your roadmap, backed by
real consumer evidence.

Extract structured feature requests, bug reports, and unmet needs from Amazon reviews, app stores, G2, Reddit, and 25+ more — ranked by frequency, ready for your roadmap.

Request a demo → View pricing

Who this is for

Product teamsInsights & StrategyMarketing teamsLeadership / Executive

Data sources covered

Amazon reviewsApp StoreGoogle PlayG2CapterraTrustpilotRedditQuoraForumsTwitter/X20+ more

What it is

What is product feedback mining?

Product feedback mining is the systematic extraction of structured insights from unstructured consumer reviews, forum posts, and support conversations. Instead of reading reviews manually, Scoutr processes thousands per day — clustering them into themes, ranking by frequency, and tracking how sentiment around specific product areas shifts over time. The result is a continuous, evidence-based input for product and roadmap decisions.

How Scoutr approaches it

Voice of customer (VOC) analysis from reviews. Product feedback mining from Amazon, G2, app stores. Turn consumer reviews into structured product intelligence for roadmap prioritisation.

The platform

Everything you need.
Nothing you don't.

Features built specifically for this use case — delivered continuously, automatically.

🔍

Feature request extraction

Every review on every platform contains a product request, explicit or implied. Scoutr extracts, clusters, and ranks them by volume — so the roadmap reflects real demand, not internal loudness.

🐛

Bug and complaint mapping

Top complaints mapped to specific product areas, features, and user journeys — with trend data showing whether issues are getting better or worse.

💡

Unmet needs detection

What consumers wish existed in the category — not just complaints about what does exist. The clearest signal for net-new product investment.

🏆

Competitor product intelligence

What users of competitor products request most, complain about most, and praise most — a live brief for building the product that wins them over.

📡

Post-launch monitoring

Track what consumers say about new releases across every source from day one — no waiting for NPS surveys or support ticket analysis.

📊

Feature sentiment over time

Track how consumer opinion about specific product areas shifts over time. See what's improving, degrading, and newly emerging.

Why Scoutr

Better than the alternatives.

✗

Manual review reading

Unscalable. Inconsistent. No trend tracking. Can't cover competitors.

NPS surveys

Prompted. Lagging indicator. Doesn't surface specific issues.

✓

Scoutr product feedback

Continuous, structured, ranked by frequency, covers competitors, tracks trends over time.

FAQ

Common questions.

How is this different from NPS or CSAT surveys?

Surveys capture sentiment at a point in time and tell you a score. Scoutr captures unprompted consumer language continuously and tells you exactly what's being praised, complained about, and requested — at the feature level, across thousands of data points, including from competitor products.

Can I see feedback specific to a feature or product area?

Yes. Scoutr's AI pipeline clusters feedback by product area and topic automatically. You can filter the dashboard by specific themes — onboarding, performance, pricing, specific features — and see the volume, sentiment, and trend for each.

Does Scoutr cover B2B software products?

Yes. G2, Capterra, Trustpilot, and other B2B review platforms are fully covered. Scoutr works well for SaaS products, consumer apps, and physical consumer goods.

How quickly does new feedback appear in Scoutr?

Data is processed continuously. New reviews and posts typically appear in your Scoutr dashboard within a few hours of being published on the source platform.

Build what consumers actually want.

Request a demo and see a live product feedback view for your product category — ranked, structured, and ready to act on.