Whydeck

AI insights

An analysis reads every written response in a study at once and hands back what they add up to: the mood, the themes that keep recurring, and what to do about them.

Generating one

Open the study’s Insights tab and generate. It takes a few seconds. You need at least one written response — rating-only entries carry no words, so they are not part of an analysis, though they still count on your dashboard.

How many responses is enough?

A dozen written conversations already surface real patterns. An analysis covers up to the 200 most recent written responses; past that, the report says so at the bottom.

What you get

A row of plain counts sits at the top — total responses, how many completed, the average number of answers per response, and the date range they were collected over. Those are measured, not written by the AI. Below them comes the report itself.

Study · Insights
The top of a report: the measured counts, the saved versions, the summary with sentiment, then the recurring themes.
Summary
A few paragraphs on what people are telling you, plus an overall sentiment and the positive / neutral / negative split as a bar. Read this first: it is the answer to “how did it go?”
Common feedback
The recurring themes, each with how many responses hit it, a sentiment, and a representative quote. Open a theme to read the actual conversations behind it — clicking through jumps you straight to the matching line in a transcript.
Suggested actions
Concrete things to change, each marked high, medium or low priority. This is the part to bring to a planning conversation.
Questions to ask next
What the responses suggest you still do not know — usually a good starting point for the next study.
Study · Insights · Suggested actions
Suggested actions, each with a priority. Themes tell you what is happening; these tell you what to do about it.

Versions

Each run is saved rather than replacing the last one, so you can regenerate whenever new responses arrive and still look back at what you were reading a month ago.

  • Every analysis is stamped with when it ran and how many responses it covered.
  • Once there is more than one, a row of version pills lets you switch between them; the newest is marked Latest.
  • When responses have come in since the latest run, the report says how many are new — your cue to regenerate.
  • Delete this analysis removes that one version. The responses it was built from are untouched.

Reading it well

  • Themes tell you what repeats. A single vivid complaint can still matter — open the theme and read the quotes rather than trusting the counts alone.
  • The analysis only knows what people typed into this study. If the summary feels thin, the fix is usually a sharper goal or more context on the study itself, not another run.
  • Regenerating after a batch of new responses is cheap and often changes the ranking — priorities move as the sample grows.

Next

Working with colleagues? Team & account covers sharing studies across an organization.