How to analyze App Store reviews with version context
App reviews can describe different versions, devices and expectations. A useful analysis keeps that context visible while grouping the issues or praise found in the selected comments.
Start with the right material.
- What you provide
- a small readable App Store feedback selection with context.
- The intended result
- Themes from readable review text supplied by the user.
How the workflow works.
Classify recurring topics from the readable review text and retain supplied ratings, dates and version details. Separate a requested feature from a reported failure of existing behavior.
What to check in the result.
Review the examples supporting each theme before acting. The sample may not represent all users, and a review alone does not reproduce a bug or establish its technical cause.
Preview the Markdown to check headings, lists and links as well as the words. Keep source references with the document so a reviewer can trace important statements back to the material you supplied.
Learn from the worked example.
The downloadable Markdown example shows one possible organization of the result. Read it alongside the source example and notice which statements are recorded facts, proposed wording or questions still needing an answer.
The supplied example is illustrative. It is not a recorded run on your data.
Download the example ↓Use it with your own material.
- Open the source you want to work with and activate WebAct on that tab.
- Copy the task from the hero, add any required fields or preferences, and review the proposed actions.
- Compare the first result with your source. Ask for a specific correction or refinement where needed.