Feedback Analyst

Customer Service

Analyse free-text feedback and categorise it in minutes.

Feedback Analyst processes survey responses and free-text feedback using your taxonomy. It categorises strengths and areas for improvement, produces frequency counts, and highlights key themes. You get structured insight from unstructured data.

Book a demo

Who this helps

Quality Manager
Head of Member Services
Research and Insights Lead

Pain points

Coding 500 free-text responses manually takes a full week.
Different analysts categorise the same feedback differently.
Insights from feedback arrive too late to influence the next cycle.

Use cases

01
Taxonomy-based coding

Categorises each free-text response against your defined taxonomy with definitions.

02
Theme frequency analysis

Counts occurrences per category and produces ranked theme summaries.

03
Strength and improvement split

Separates feedback into strengths and areas for improvement with category breakdowns.

Example outcomes

✓
Coded 500 free-text responses in 20 minutes instead of 5 days.
✓
Consistent categorisation across all responses using defined taxonomy.
✓
Delivered actionable feedback insights within 24 hours of survey close.

Time comparison

Without AI

5 days

Reading each response, deciding on the right category, and recording in a spreadsheet.

With gecco

18 minutes

A categorised dataset with theme frequencies, split by strengths and improvements.

Inputs and outputs

What goes in

Free-text response data
Taxonomy file with definitions
→

What comes out

Categorised response dataset
Theme frequency summary
Strengths vs improvements breakdown

Example workflow

1
Upload your data
Provide the feedback CSV and your taxonomy definitions.
→
2
Automated coding
The assistant categorises each response using your taxonomy.
→
3
Review insights
Check the coded data and share theme summaries with stakeholders.
=
✓
A structured feedback report with categorised themes and actionable insights.

Try asking

“
Categorise these 300 survey responses using our taxonomy file and produce a ranked theme summary.
“
Split this feedback data into strengths and areas for improvement, with category counts for each.
“
Analyse this free-text feedback and tell me the top 5 themes by frequency, with example quotes for each.

Ready to put this assistant to work?

Book a free consultation and see how it fits your team.

Book a demo