Will This Ever Work?How to compare app reviews across several products
Updated 27 September 2026
The useful comparison is what happens to people trying to solve the same problem, and where the experience differs. Look at each app separately first. Then put the evidence side by side.
Open Review Intel to collect public App Store and Google Play reviews. The web tool is free.
Start here
Choose one decision and two relevant apps. Keep a sample card for each app, analyze each file against the same question, then compare the source quotes. A complaint that appears in both samples is a question to investigate, not a category-wide failure rate.
Start with one decision and two relevant apps
Say what you are trying to learn before collecting anything. For example: “What would someone expect to try before paying for help with sleep?” The apps you examine might be direct competitors, adjacent solutions, or workarounds people already use for the same job. Label that relationship. A workaround can be revealing without being a close substitute.
Two apps are enough for a first comparison. Adding ten before you have a clear question usually creates a large pile of unrelated complaints.
Give every app its own sample card
Use the same store, country and language where you can. Record the app, store, market, review dates, number of written reviews collected, and how they were selected. “40 written reviews returned by this tool” is a different claim from “all users” or “a representative sample.” If one app’s file spans a week and another’s spans a month, keep those windows visible.
Run Review Intel separately for each app. Its web flow brings up to 500 public written reviews into a file, helps you choose the question, and prepares instructions for you to paste and send with the reviews to Claude or ChatGPT. The connected Claude or Codex route can continue through more Google Play pages, then you can ask the analysis question in that conversation. Review collection by itself does not produce an AI finding, and neither route promises a complete review history. Apple’s public feed can return a much smaller or unreliable slice.
Use the same question for each file:
For this app’s review file, identify repeated things people value and repeated moments where the experience breaks. Keep price, unexpected charges, locked content, bugs and support failures separate. For each theme, show the count within this file, the supporting review numbers or dates, and short exact quotes. Flag one-offs and what this sample cannot establish. Do not infer conversion, retention or demand.
Read the cited reviews before using the answer. A summary can put two complaints under one neat label even when they describe different problems.
Put findings side by side without pooling them
Here is a small example from public Google Play reviews. On 27 September 2026, we collected 40 English written reviews for Calm and 40 for Headspace in the US store. Calm’s exported reviews were dated 18–26 September; Headspace’s were dated 22 August–25 September. The review numbers below refer to each app’s separate export. These are illustrative excerpts, not a rating of either app or a count of everyone who experienced an issue.
What can someone use before paying?
Calm · review 6, 25 Sep: Basically everything is locked behind a strict pay wall
Headspace · review 6, 23 Sep: nothing is available in the free version
Both contain explicit access complaints. The next question is what people expected to try first; these quotes do not show that a bigger free tier would work.
Did the problem happen before or after payment?
Calm · review 13, 23 Sep: paid for subscription and locked out of almost everything
Headspace · review 7, 23 Sep: everything is locked on the free version
The same word, “locked,” points to two different moments. One is an access problem after payment; the other is an expectation about free access. Do not combine them into one fix.
What does an “AI complaint” refer to?
Calm · review 20, 22 Sep: the help desk is simply all AI
and had not fixed a paid access problem.
Headspace · review 20, 13 Sep: the experience feels a bit too generic and ai now
.
One reviewer objects to support recovery, the other to product direction. A shared keyword is not a shared need.
As a quick check on the wording, 4 of Calm’s 40 reviews and 5 of Headspace’s 40 explicitly used “locked,” “paywall” or “pay wall.” That is a count of a phrase family in these two exports, not a rate of paywall dissatisfaction. It includes different failure moments, as the second example shows. It also misses reviews that object to price without those words. Count a theme only after writing its inclusion rule and checking each matching review.
The unequal date windows and the self-selected nature of public reviews make a “Calm versus Headspace” winner or category-wide percentage unsound. A recent update may color a time-bounded sample for reasons unrelated to overall product quality.
Turn the comparison into a question for your own users
For someone exploring a sleep or meditation product, the shared access language suggests a useful interview question: “Before you paid, what did you expect to be able to try?” The different AI complaints suggest a second, more precise check: which parts of guidance or support do people want from a person, and where is automation acceptable? Ask in the context of what your intended users actually do, without assuming that these reviewers would buy your product.
If you already have a product, compare the review themes with your own support messages, usability sessions, paywall comprehension and app reliability data. Reviews from other apps cannot tell you whether your users abandon onboarding, convert, or stay.
Keep the final decision note small
- Question: the product or message decision you started with.
- Each sample: app, store, country, language, dates, selection method and analyzed count.
- Evidence: within-app theme counts, review numbers and short quotes; note themes that mean different things across apps.
- Next check: one interview question, usability check or product metric that could confirm or challenge the interpretation.
For a first pass through one direct competitor, read the competitor review guide. To turn a complaint into a specific problem to investigate, use the pain-point guide.