Analyzing Feedback
Turn raw responses into actionable patterns and next steps
Analyzing feedback is the step between collecting responses and making operational decisions.
The goal is not just reading comments, but converting patterns into specific owner-based actions.
Start with the Responses Workspace
In Responses, use filters before reviewing individual rows.
Available controls include:
- search by contact identity
- period range
- location
- employee
- sequence
- quick state filters (all, favorites, assigned, dissatisfied, new, in progress, resolved)
Practical Analysis Workflow
- Filter by period and location to establish context.
- Isolate
dissatisfiedandnewfirst. - Review score bands (NPS/CSAT) and sentiment markers.
- Tag recurring themes from comments.
- Move responses through status and owner assignment.
This keeps analysis tied to execution.
Priority Framework
Focus in this order:
- repeat detractor causes
- unresolved operational blockers
- high-volume but low-severity friction
- long-tail improvements
Not every negative comment needs a policy change. Repetition is the signal.
Turning Patterns into Actions
For each pattern, define:
- owner
- due date
- expected outcome metric
Example:
- Pattern: wait-time complaints from one location
- Owner: location manager
- Action: staffing adjustment at peak hour
- Metric: response-time SLA and CSAT trend over 30 days
Common Pitfalls
- reacting to single outlier comments
- mixing locations/channels without filtering
- closing items without owner accountability
// Related articles
Viewing Survey Responses
Learn how to view and browse survey responses in the Responses dashboard
Using Response Filters
Filter survey responses to quickly find dissatisfied customers, new feedback, and assigned tasks
Managing Survey Responses
Update response statuses, assign team members, add internal notes, and organize feedback
Comments Report
Review open-text feedback with sentiment-based filtering and pagination
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