Use cases / Product Feedback

For product & roadmap

Read every review. Without reading them.

Feature requests, bug reports, unmet needs — extracted from thousands of reviews across your product and competitor products. Clustered, ranked, refreshed every morning. The roadmap input that didn't exist until now.

Start Intelligence — $197/mo → Get the report — $97

The problem

Your roadmap is built from opinions. Your customers are leaving evidence.

Every week, dozens of reviews mention the same thing. The waterproofing they wanted. The onboarding flow that broke them. The competitor feature they keep referencing.

Nobody on your team is reading them all. The PM checks Amazon when they remember. The CX lead screenshots the worst ones. The founder skims Reddit on Sunday night. Nobody has the full picture, so the roadmap gets built from whoever was loudest in the last meeting.

Meanwhile the answer is sitting there, distributed across nineteen platforms, in the unprompted words of buyers who already chose to tell you what they need.

The shift

Stop reading reviews.
Start reading the ranked list.

The transformation

A thousand reviews. One ranked list.

Left: what your reviews look like right now — unstructured, scattered, impossible to read in full. Right: what Scoutr hands you. Same data. Ready to act on.

Before · raw reviews 2,147 reviews

Amazon · Oct 14★★☆☆☆

Works ok but wish it was waterproof. Got caught in the rain and now it's ruined.

G2 · Oct 14★★★☆☆

The onboarding is brutal. Took our team 3 days. Competitor X has it done in 20 minutes.

App Store · Oct 13★★☆☆☆

App crashes constantly on iOS 17. Please fix. Restarted my phone four times today.

Trustpilot · Oct 13★★★★☆

Great overall but wish it came in more colours. Only 3 options feels limiting.

Reddit · Oct 12r/category

anyone else annoyed that the setup process still requires a desktop? It's 2026.

Amazon · Oct 12★★☆☆☆

Got caught in humid weather — product is already degrading. Build quality...

→

After · Scoutr ranked output Updated 07:00

Waterproofing / humidity resistance

Feature request · materials

347 ↑ 38%

Onboarding time too long

Complaint · onboarding

284 ↑ 22%

iOS 17 crash loop

Bug report · platform iOS

192 new

Colour / variant options (more than 3)

Feature request · customisation

168 stable

Mobile-first setup flow

Feature request · onboarding

143 stable

Build quality at price point

Complaint · value

97 ↑ 12%

Across 19 sources · clustered nightly Ready to prioritise

Mockup shown. Your actual workspace shows your product, your competitors, your category. Refreshed every morning.

The mechanism

Four stages. Fully automatic.

No integration to build. No API setup. No tagging discipline to maintain. Paste your URLs, then leave it alone.

Scrape across sources

Reddit, Amazon, Trustpilot, App Store, G2, Capterra, YouTube, TikTok, Quora, Hacker News, Etsy, Yelp, plus competitor pages and category forums. Your product and competitor products.

Cluster by theme

Every review fragment groups into themes — feature requests, bugs, unmet needs. Mentions of “waterproof” and “humidity” collapse into one cluster.

Rank by velocity

Not just “most mentioned.” Most mentioned and rising fastest. Emerging issues surface before they become loud. Dying issues fade.

Delivered every morning

Refreshes at 07:00 local. New items flagged. Rising items flagged. Comparison to yesterday's list built in.

What it replaces

Three old ways. All worse.

Product feedback mining isn't a new idea. The old approaches were just slow, partial, and biased toward the loudest customers.

Manual review reading90 min/wk

Someone reads the top 50.

Catches the loudest 2%. Misses competitor reviews entirely. Reader bias warps what gets flagged. By week three, nobody's doing it anymore.

Replaced · 0 reading time

NPS / CSAT surveys$500–5K / mo

Quarterly survey loops.

Lagging indicator. Prompted responses. No feature-level detail — just “7 out of 10.” Doesn't cover competitors. Stale by the time you act.

Replaced · daily feature signal

Support ticket analysis1–2 FTEs

Tagging the squeaky 1%.

Only sees customers who contacted support. Misses silent churners. Expensive headcount for tag work. No view into what competitor users complain about.

Replaced · full consumer voice

How it compounds

Day 1 is informative. Month 1 is a radar.

A single scrape ranks what's loud right now. A month of daily scrapes shows you what's coming.

Day 1 · 15 min

Full baseline output

Paste URLs, wait fifteen minutes. Ranked list of every feature request, complaint, and unmet need across your product and top competitors. Instantly actionable.

Week 1

Deltas appear

Seven daily refreshes in, you see movement. Which complaints are rising. Which requests are fading. Which competitor just took a wave of new bug reports overnight.

Month 1

Pattern radar

Thirty days of feedback data is a category radar. Emerging complaints surface 2–4 weeks before they go mainstream. Your roadmap is now consistently ahead.

What this isn't

Public review data. Not your CRM.

Scoutr reads what's publicly visible — Amazon, App Store, G2, Capterra, Trustpilot, Reddit, YouTube, category forums. If your product has no public review footprint (enterprise-only, NDA-bound customers, no G2 listing), this isn't the tool.

It's also not a replacement for a dedicated Voice-of-Customer analyst team running custom qualitative research. If you have one, Scoutr supplements them — handles the volume work so the senior analyst can focus on the things that actually need a human.

And it doesn't tie feedback to your customer database. If you need this specific customer said this specific thing for a CSM workflow, that's a different tool. Scoutr surfaces what your buyers — and competitor buyers — say in public.

Product feedback · $197/mo

Build what buyers are
actually asking for.

One $97 report shows you the ranked output for your category today. Intelligence at $197/mo refreshes it every morning, with rising-issue alerts and competitor feedback in the same view.