214 reviews, seven themes, counted with quotes attached
A companion pages through G2, Capterra, Trustpilot, the app stores and Reddit in your session, dedupes the cross-posts, codes every review against your themes and drafts the report.
Whether it is your product or a competitor’s, the job is the same: gather every review, normalise it, dedupe the cross-posts, code them into themes, count honestly, and pull the verbatims that make a finding land.
By hand that is two days of numbing work, so it happens once a year in a rush. A companion does the gathering and coding and leaves you the taxonomy argument.
| Copy-paste from G2 | A Strawberry companion | |
|---|---|---|
| Sources covered | The one with the export | Every source you can open in a tab |
| Dedup and normalising | Skipped under deadline | Done in the sheet, checkable |
| Theme counts | “Lots of people mention…” | 31 of 214, segmented, dated |
| Refresh next quarter | Starts from zero | Routine re-runs against the same taxonomy |
What do the platforms hand you?
Their own island.
G2’s vendor tools sit behind its paid tiers and Trustpilot’s analytics live in its business plans, as of this writing, while AppFollow aggregates mobile reviews and Birdeye serves multi-location consumer businesses.
The cross-platform synthesis spanning G2 and the App Store and the Reddit thread is the piece you assemble yourself. For competitor products there are no vendor dashboards at all, and their public reviews are readable one page at a time.
What lands in the review report
A companion pages through each source in your logged-in session and extracts every review into a Google Sheet: text, rating, date, reviewer segment where shown, source URL. It dedupes the cross-posts. You give it the taxonomy, or ask it to propose one and edit it.
It codes each review, counts by theme and segment, and drafts the report: theme, count, trend against the previous run, three verbatims each. Run quarterly the counts become trendlines. The same sheet feeds churn analysis, the inbound cousin is summarizing customer feedback weekly, and more examples live at real runs.
One teardown: 214 reviews, 7 themes
214 reviews across four sources, 9 cross-posts deduped, coded into 7 themes.
Top finding: 41 negative mentions of reporting limitations, concentrated in mid-market reviewers over three quarters and rising, with a 25-quote bank attached.
That became a battlecard claim with receipts and two roadmap conversations. Your time: about ninety minutes, most of it arguing about the taxonomy.
How should you read the counts?
As signal pointing at themes worth validating against support tickets and a couple of interviews, since reviewers self-select and platforms prompt unevenly. Every coded quote links back to its review, so skimming the themes that will drive a decision is a five-minute habit.
Experience Strawberry for free
DownloadTrusted by fast-growing companies worldwide
Frequently asked questions
Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents