Example scenario · Understand

Find out why the score is low

The answers come in and the score is bad. The AI summary, key drivers and a comparison by visit time show what is wrong, and when.

Real product, sample data from our demo café. Not a customer story.

Comparing results between respondent groups
Sample data

The situation

An overall score said guests were unhappy. It did not say about what, or whether every visit was the same. Fixing everything at once was not an option.

How it works

  1. 01

    Read the summary

    The AI summary lists what is working and what is not, in plain words.

  2. 02

    Find the driver

    Key drivers show speed of service moves the recommend score the most.

  3. 03

    Compare groups

    Split by "when did you visit": mornings 4.06, afternoons 2.77 for speed.

The screens

The results, summarised

The results page shows every answer as it arrives, and the AI summary turns them into a short read for the owner.

  • Charts for every question
  • Filters and exports
Sample data

Key drivers, with the numbers

The AI Analyst ranks what moves the recommend score and shows the statistic behind each finding, so nobody has to take it on trust.

  • Evidence on every finding
  • Recommendations tied to that evidence
Key drivers found by the AI Analyst
Sample data

One average hid the problem

Comparing mornings and afternoons showed the slow service was an afternoon problem. One overall score would have blended the two.

  • Compare by any question
  • Small groups are left out, not guessed
Sample data

The AI summary works on every plan with your monthly AI allowance. The AI Analyst is on Professional and above.

What the sample data says

Real product, sample data from our demo café. Not a customer story.

Sample answers
241
Net Promoter Score
−5
Speed of service, mornings
4.06
Speed of service, afternoons
2.77

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