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Industry Templates·2 min read·Updated 15 May 2026·✓ Reviewed May 2026Recently UpdatedWhat changed? →

How Template Questions Are Designed

The thinking behind template questions — why they're phrased the way they are and how to get the most from them.

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Why templates matter#

The biggest barrier to getting value from AI analytics isn't the AI — it's knowing what to ask. Templates solve this by providing questions that experienced analysts would ask of your data.

Each question is designed to surface a specific, actionable insight rather than a generic overview.

Question design principles#

Template questions follow these principles:

  • Specific — 'What's my best-selling product by margin?' not 'How are things going?'
  • Time-bound — most questions reference a specific period (last 30 days, last quarter)
  • Actionable — the answer should tell you what to do, not just what happened
  • Data-dependent — questions are matched to the kind of data your business type typically has

Customising questions#

Treat template questions as a starting point. After getting an answer, follow up with:

  • 'Break this down by channel'
  • 'Compare to the same period last year'
  • 'What should I do about this?'
  • 'Show me the top 5 instead of top 10'

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