// Responses & Feedback

Analyzing Feedback

Turn raw responses into actionable patterns and next steps

2 min read
Updated March 18, 2026
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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.

01

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)
02

Practical Analysis Workflow

  1. Filter by period and location to establish context.
  2. Isolate dissatisfied and new first.
  3. Review score bands (NPS/CSAT) and sentiment markers.
  4. Tag recurring themes from comments.
  5. Move responses through status and owner assignment.

This keeps analysis tied to execution.

03

Priority Framework

Focus in this order:

  1. repeat detractor causes
  2. unresolved operational blockers
  3. high-volume but low-severity friction
  4. long-tail improvements

Not every negative comment needs a policy change. Repetition is the signal.

04

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
05

Common Pitfalls

  • reacting to single outlier comments
  • mixing locations/channels without filtering
  • closing items without owner accountability

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