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Systematically evaluate feature feedback and concept tests

Understand what users really want. Analyze qualitative feedback from product tests, concept studies, and usability research – and derive data-driven recommendations for your product roadmap.

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The Challenge

500 testers. 3 concepts. Which one wins – and why?

You've collected valuable feedback from product tests – but how do you prioritize feature requests without reading every comment? Which features are really desired? Which criticism is relevant, which is just individual opinion? Without systematic analysis, important insights remain hidden in the noise. Your product team needs clear answers – not endless spreadsheets.

Example

From raw data to product roadmap in 3 steps

A SaaS company wanted to know which three features users really want. deepsight analyzed 1,200 open responses from a concept test and clustered them into 8 feature categories. Result: 'Offline mode' and 'team collaboration' dominated with over 40% of mentions – while the internally favored feature 'dark mode' accounted for only 3%. The product roadmap was adjusted accordingly.

Typical Questions

Questions you can answer with deepsight

These open-ended questions deliver valuable insights – if you can evaluate them systematically.

1

„What's missing from this product?"

Feature feedback

2

„Which features do you use most?"

Usage analysis

3

„What would you change?"

Improvement suggestions

4

„What was your first impression?"

Concept test

5

„What bothered you while using it?"

Usability study

6

„What problem does the product solve for you?"

Value proposition test

What you get

From raw data to structured insights

Feature Clusters

Automatically group feedback by features, functions, and product areas.

Pain Points

Identify the biggest pain points and usability issues of your users.

Improvement Ideas

Extract concrete improvement suggestions directly from the feedback.

Prioritization

See at a glance which topics are mentioned most frequently.

How it works

4 steps to your insights

1

Import data

Upload your text data – via Excel, CSV or directly from your tool.

2

Start analysis

deepsight automatically identifies topics, sentiments, and connections.

3

Validate results

Review the identified categories and adjust if needed.

4

Export insights

Export your results as Excel, PDF or share them with your team.

FAQ

Frequently asked questions

Yes. Upload feedback for multiple concepts and compare topic frequency and sentiment values side by side.
deepsight not only counts how often a feature is mentioned but also analyzes the emotional intensity. This way you identify which requests really burn.
Absolutely. Export the analysis as an interactive report or PowerPoint – including original quotes as evidence for every insight.
Yes. deepsight is especially suited for iterative feedback from beta tests. Analyze each feedback round and track how feature requests and pain points evolve across multiple iterations.
deepsight automatically weights feedback by frequency and emotional intensity. You can see at a glance whether a criticism is shared by many users or represents an individual opinion.

Methodologically sound

Learn how deepsight delivers traceable and reproducible results.

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GDPR compliant

Servers in Germany, no US cloud, DPA-ready. Your data stays your data.

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Ready to analyze your text data?

Start for free now or let our team advise you.

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