Audit intermediate Works with: Any AI

Review Collection Process Audit

Table output Has example

Check that review requests are ethical and effective.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.

Rate this prompt

Loading ratings…

Audit how I ask customers for reviews. Request messages, timing, channel and who is asked: [REQUEST_PROCESS]. Review volume and ratings over time: [REVIEW_DATA]. Platform rules I know of: [PLATFORM_RULES].

Check for selective requests, incentives, gating by satisfaction, pressure, fake or staff reviews, timing relative to service, and ease of leaving a review. Suggest an honest process that asks everyone equally.

Return a table with Practice, Risk (red, amber, green) and Fix, a score from 1 to 10 for ethics and effectiveness, and a request message of under 60 words. Review and advertising rules are [VERIFY] for [JURISDICTION] and platform policy.

Also compare review volume to the number of customers served, check the platforms where reviews are most useful for the business, and recommend a monthly target that does not pressure staff. Suggest a way to make leaving a review easier with a direct link and a short script.

Then redesign the process as a short operating procedure. Write the steps: who is asked, when, by what channel, with what wording, how reminders work, how replies are handled, and how problems are escalated, without selective asking or incentives that break platform rules. Draft three message variants under 60 words for different customer situations, such as after a completed job, after a support contact and after a long project, each with a direct link placeholder. Add a policy for responding to the reviews received, including negative ones, and for reporting suspected fake reviews with evidence. Provide a tracking sheet with the number asked, the number who responded and the rating spread, and a quarterly review. Remind staff never to write or buy reviews. Platform and advertising rules are [VERIFY] for [JURISDICTION].

State what a careful reader would worry about, not what a court would decide. Tag all rule-dependent statements [VERIFY] for [JURISDICTION] and recommend independent advice on anything with money or time limits.

Fill in before use

Optional: type your details and the prompt above updates. Nothing is saved or sent.

Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

See an example result (fictional data)
Audit (invented salon)
Practice: staff ask clients they know are happy; unhappy clients are not asked. Risk red (selective asking).
Timing: message sent 3 days after visit; response 6%. Channel: text with a link to the profile.
Incentive: free product for reviewers. Risk red under platform rules.
Fix: ask every client the same way, no incentive, send within 24 hours.
Message (58 words): "Thank you for visiting. If you have a minute, an honest review helps others choose. Here is the link. If anything wasn't right, reply and we'll sort it out."
Track: asked, responded, rating spread. Rules: [VERIFY].

Illustrative only, made-up data. Your results will differ and must be reviewed.

Related prompts