Reviews and reputation
Collect new reviews and prepare the team response.
- Negative reviews are noticed late or answered without understanding customer history.
Example paths: the agreed action or human review. This diagram does not run on your live data.
- 01Input: Reviews · mentions.
- 02Permitted platforms supply reviews and mentions; duplicates are removed, topics and facts retained, and staff receive a priority and reply draft.
- 03Output to verify: Reviews for staff.
- 04Disputed facts and customer conflicts go to staff. Publishing replies and changing orders require approval.
- ✓The brief contains source links and new posts; reply drafts avoid unsupported commitments.
- ✓We check repeated processing and connection failures using agreed examples.
An illustration of the logic, not a customer case. Connections and results are agreed before implementation.
What inputs do we need?
We need an example of “Reviews · mentions”, processing rules and an owner for “Reviews for staff”. Access is requested after connections are agreed.
What happens if data is missing or an error occurs?
We check “New review or mention?”. Disputed facts and customer conflicts go to staff. Publishing replies and changing orders require approval.
How is the result accepted?
The brief contains source links and new posts; reply drafts avoid unsupported commitments.
How long does implementation take?
Scope, price and timing are defined after checking systems, access and exceptions. This page describes a possible workflow, not a ready connection to your data.
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