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Exercises/Relationship Mapping/Collaborative data portrait
Relationship Mapping

Collaborative data portrait

Encourage reflection on experiences, backgrounds, and preferences within the group.

5 to 15 minutesTIME
Medium group (9-25), Small group (4-8)GROUP SIZE
ActiveENERGY
In person, RemoteSETTING
High cognitive loadCOGNITIVE LOAD
Strengthens Network Design This relationship mapping exercise strengthens Network Design, one of the eight Gathering Effectiveness pillars.

How to run it

  1. Explain that each participant will represent data about themselves using predefined graphic elements.
  2. Show the visual code table and clarify its meaning.
  3. Each participant completes their template following the established guidelines.
  4. Start with basic data and gradually move towards more personal aspects.
  5. Ensure everyone follows the same visual system for easy comparison.
  6. Participants compare their portraits in small groups.
  7. Participatory Methods Collaborative data portrait The Collaborative data portrait is a participatory activity where participants create a visual representation of the group using personal data, preferences, and habits through a shared graphic language.
  8. Each person represents their information with predefined shapes, colors, and patterns, allowing for the identification of similarities and differences within the group.
  9. Create a common visual language for self-expression and data comparison.
Live facilitator

Run this exercise live

The facilitator console stays in this browser. Its QR handoff is a short-lived participant snapshot containing only public exercise instructions, phase, prompt, and timer state.

Prompts to use +

Explain that each participant will represent data about themselves using predefined graphic elements.

Start with basic data and gradually move towards more personal aspects.

Participants compare their portraits in small groups.

Participatory Methods Collaborative data portrait The Collaborative data portrait is a participatory activity where participants create a visual representation of the group using personal data, preferences, and habits through a shared graphic language.

Each person represents their information with predefined shapes, colors, and patterns, allowing for the identification of similarities and differences within the group.

Create a common visual language for self-expression and data comparison.

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: Collaborative data portrait. Readiness: Publishable Draft. Core moves: Explain that each participant will represent data about themselves using predefined graphic elements.; Start with basic data and gradually move towards more personal aspects.; Participants compare their portraits in small groups.; Participatory Methods Collaborative data portrait The Collaborative data portrait is a participatory activity where participants create a visual representation of the group using personal data, preferences, and habits through a shared graphic language.. 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.

Pairs well with