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Overview

Daymark works best when questions are specific and tied to a decision. This guide shows how to frame questions so the results are accurate and easy to act on.

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Start with the Decision

Before asking a question, clarify the decision it supports:
  • What action will you take if the result changes?
  • Who needs the answer and when?
  • What metric defines success?

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Use Clear, Concrete Language

Well-scoped questions reduce ambiguity and improve chart selection. Include the key elements below when relevant:
  • Metric (revenue, signups, churn rate)
  • Timeframe (last 30 days, Q2, month over month)
  • Segment (plan type, region, channel)
  • Comparison (this month vs last month, A vs B)
Example:
  • Instead of: “How are we doing?”
  • Ask: “What is the month-over-month revenue change for Enterprise customers in Q2?”

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Align Question Type to the Output

Different question types produce different visuals:
  • Trends → line charts
  • Comparisons → bar charts
  • Composition → stacked bars or pie charts
  • Funnel steps → funnel charts
  • Exact values → tables
If you want a specific view, ask in a way that implies it.

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Ask in Layers

Start simple, then refine:
  1. Ask a broad question to establish the baseline
  2. Narrow by time, segment, or category
  3. Compare to a previous period or cohort
Example:
  • “What is churn rate this quarter?”
  • “Break churn rate by plan type.”
  • “Compare churn by plan type vs last quarter.”

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Use Column Names When Possible

When you can, reference the actual column names from your data source. This helps Daymark match your question to the right fields.

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Common Mistakes to Avoid

  • Asking multiple unrelated questions at once
  • Omitting timeframes for trend questions
  • Using vague terms like “better” or “worse” without a metric

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Next Steps

If you are new to Daymark, start with suggested questions in the chat and refine from there.