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PRIVACY & TRUST

Explain data use in plain language

A privacy explanation should tell people what information is collected and why. It should fit the actual service rather than making broad promises that conflict with AI processing, payment providers or support workflows.

A practical workflow

  1. Describe the main data

    Cover account details, feedback, photos, activity and enquiries where relevant. Do not hide important processing in vague product language.

  2. Explain providers

    State when data goes to an AI or other service provider for a requested function. Keep technical disclosure accessible without overwhelming the main journey.

  3. Offer a contact route

    Make it clear how to ask about correction, export or deletion. Do not promise automatic deletion if the workflow is manual.

Avoid this mistake

Avoid claims of zero data sharing when external services are used.

What to check

Compare the notice with real application behaviour after each feature update.

Use the minimum information needed

A useful review or support message rarely needs a password, document number or detailed personal record. Check text, images and public replies for unnecessary information before sharing. The appropriate follow-up route depends on the issue; a public review thread is not a substitute for confidential support. reviewbuddy.in’s privacy and AI disclosure pages explain the service’s data processing.