Use customer questions to choose a change worth testing.
Step through six fictional examples of questions, patterns and possible explanations. Inspect the evidence behind a suggested change, then decide what you would investigate next. These illustrate a team review, not automatic root-cause detection.
Choose a scenario
Switch examples to see different repeated-question patterns.
Onboarding confusion
Illustrative sample: 18 similar questions · 11 users · 14 days · High confidence
Raw questions
These fictional questions illustrate live conversations with available page context. They are not customer results. Existing questions can also be reviewed through an assisted pilot; imported evidence stays separate from live conversation metrics.
From evidence to a decision and later review
This is a recommended team workflow. Sol Helps supplies evidence and suggested next steps; your team judges the interpretation, makes any change and plans the later review. An assisted pilot can help scope that work.
See the repeated question, example wording, evidence, and confidence.
Check possible explanations and agree who can act. Your team can accept, refine or reject the suggestion.
Update the relevant product wording, documentation or onboarding step using your existing tools.
Eligible live-report plans support period comparison. Check comparable questions and context; a change in volume alone does not prove impact.
If the evidence is thin, review the original questions and collect more context before choosing a change. Broad themes are directional; they do not establish one shared cause.
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Want this applied to one of your pages?
Request a manually reviewed product clarity audit before installing, or start free if you are ready to collect real questions on a live page.
Grounded in your approved content. Customer conversations are not used to train public models.