Data-driven decisions
Participatory Methods Data-driven decisions The activity Data-driven decisions, inspired by the Integrated Data Thinking™ framework developed by Sudden Compass®, is designed to help teams leverage both qualitative (thick data) and quantitative (big data) sources to address critical questions.
How to run it
- Teach participants to classify questions as either discovery (new ideas) or optimization (improving what already exists).
- Encourage critical thinking to select appropriate research methods for each type of question.
- Promote a balanced approach between qualitative and quantitative data to make more informed decisions.
- Sticky notes in different colors to classify questions.
- Whiteboard, flip chart paper, or digital tools if done virtually.
- Choose a space where participants can comfortably collaborate around the canvas.
- Prepare the materials: A 2×2 quadrant canvas or template with the axes: - X-axis: Unknown (discovery) on the left and Known (optimization) on the right.
Run this exercise live
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Materials:
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Prompts to use +
Encourage critical thinking to select appropriate research methods for each type of question.
Choose a space where participants can comfortably collaborate around the canvas.
Prepare the materials: A 2×2 quadrant canvas or template with the axes: - X-axis: Unknown (discovery) on the left and Known (optimization) on the right.
Run this with your AI assistant +
Works with Claude, ChatGPT, Gemini, or your own local model: paste this prompt and your AI will co-facilitate this exercise with you.
Adapt this exercise for my exact room. Exercise: Data-driven decisions. Readiness: Publishable Draft. Core moves: Encourage critical thinking to select appropriate research methods for each type of question.; Choose a space where participants can comfortably collaborate around the canvas.; Prepare the materials: A 2×2 quadrant canvas or template with the axes: - X-axis: Unknown (discovery) on the left and Known (optimization) on the right.. Return a concise facilitator script with timing, wording, safety notes, and remote/in-person adjustments.
Origin unverified
- Where we observed it: The strongest current observations come from Participatory Methods; aggregators are listed as additional observations, not origin proof. (1 source observed, including Participatory Methods.)
- What that means: we track where an exercise has been observed in public sources. We do not claim to know who created it, or how popular it is.
- No efficacy claims: appearing in this library is not a claim that the exercise is proven effective. Facilitator judgment and context decide whether it works for a given room.
- Corrections: if you have evidence of an earlier or more accurate source, read our methodology and trust boundary and tell us.