Executive Summary
The AI-Written Verdict on Your Results
Overview
When your fieldwork finishes, the Summary tab tells you what your results mean — a few paragraphs of plain prose, written against the research objectives Highlight AI draws from your project setup.
That framing is the point. If your objectives say the study exists to decide whether a reformulated recipe is good enough to launch, the summary opens with a verdict on that decision rather than walking every question in survey order. Two studies running the same questionnaire for different reasons get different summaries.
Where to Find It
Open Insights on your project and you're already there. Summary is the first tab, marked with a star. Every project has it.
This article says products. On a concept study you're comparing Concepts; a survey-only study has none.
The page has a stable address, so you can send the link to anyone with access to the project.
Multi-Project Dashboards don't have their own summary — read the summary on each source project instead.
It Writes Itself
There's nothing to set up. Your summary is generated automatically when your project moves to Fielding Complete or Completed.
While fielding is still running, the tab shows a placeholder and your live response data stays available in the other Insights tabs. Once generation starts you'll see Highlight AI is generating your summary…, and the page refreshes itself when the summary arrives. Reload if it's still waiting when you come back.
What's on the Page
At the top sits your project name, the study type and fielding dates, and counters for participants, products and days in field.
Below that, the Executive Summary card. It opens with a verdict sentence, then works through:
- What's working: — the strength your results support. If nothing qualifies, this section is left out rather than padded.
- Where it falls short: — the real gaps, weaknesses and risks.
- Recommendation: — prioritized actions, each tracing back to a gap above.
The narrative keeps figures out, so it reads and shares well. The numbers live in the result cards underneath.
Next comes Project Objectives — the three objectives generated from your project setup, so everyone reading the page shares the same context for why the study ran.
Last, up to three result cards, led by the questions that speak most directly to those objectives. Each is titled with its takeaway, with a bar per product showing the headline metric.
How It's Built
Highlight AI works in three passes. It ranks your questions against your objectives and keeps the top 15, interprets each of those against its crosstab, then synthesizes the verdict you read at the top.
Two consequences are worth knowing. A question that doesn't make the top 15 is never interpreted and can't become a result card. And the interpretation pass always tests at 90% confidence, whatever you've set on Crosstabs or Scorecard — so a difference the summary leans on may not be marked significant when you go and check it.
Better Objectives, Sharper Summary
Your objectives decide which questions reach the summary, so objectives that name the decision the study supports produce a sharper read than vague ones.
Tip: When you set up your next project, say in your project description what you're trying to decide, not just what you're measuring.
Tell Us What You Think
At the top right of the Executive Summary card are a thumbs up and a thumbs down. A thumbs up records your rating. A thumbs down opens a box asking What don't you like about this? — whether the verdict felt wrong, whether the right results were prioritized, or anything else. Type your note and click Submit.
Your feedback goes to the team building the feature and is used to improve the AI output.
A Starting Point, Not the Last Word
The summary is written by AI from your results, and shows a handful of cards rather than everything. Before a high-stakes decision, check the numbers behind it: Explore for every question, Scorecard to compare products with significance testing, and Crosstabs for the full breakdown tables.
When you need the whole story as a deck, generate an Instant Report — it reuses this summary and these objectives as slides.
Related
- Explore — browse every question behind the summary
- Scorecard — compare products with significance testing
- Instant Reports — the full deck, built on this summary
- Response Types — who the participant count includes
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