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Exercises/Relationship Mapping/TGL: January 2008
Relationship Mapping

TGL: January 2008

TGL: January 2008 is a relationship mapping exercise that helps participants build useful connections and understand how people, roles, or ideas relate.

Under 5 minutesTIME
Medium group (9-25), Pairs, TriadsGROUP 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. In our faster, cheaper, and better approach to training design, we use a different strategy. Instead of redoing the textual content we design a special type of learning activities (called textras) that force participants to interact with the content.
  2. Here's a case study that illustrates several successful applications of this strategy.
  3. Guest Gamer Interview with Stephanie Pollack She's been there, done that!
  4. Quick Poll Select a Conference Theme Help us market the NASAGA 2008 Conference.
  5. Mission To increase and improve the use of interactive, experiential strategies to improve human performance in an effective, efficient, and enjoyable way.
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 +

In our faster, cheaper, and better approach to training design, we use a different strategy. Instead of redoing the textual content we design a special type of learning activities (called textras) that force participants to interact with the content.

Guest Gamer Interview with Stephanie Pollack She's been there, done that!

Quick Poll Select a Conference Theme Help us market the NASAGA 2008 Conference.

Mission To increase and improve the use of interactive, experiential strategies to improve human performance in an effective, efficient, and enjoyable way.

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: TGL: January 2008. Readiness: Publishable Draft. Core moves: In our faster, cheaper, and better approach to training design, we use a different strategy. Instead of redoing the textual content we design a special type of learning activities (called textras) that force participants to interact with the content.; Guest Gamer Interview with Stephanie Pollack She's been there, done that!; Quick Poll Select a Conference Theme Help us market the NASAGA 2008 Conference.; Mission To increase and improve the use of interactive, experiential strategies to improve human performance in an effective, efficient, and enjoyable way.. 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 The Thiagi Group; aggregators are listed as additional observations, not origin proof. (1 source observed, including The Thiagi Group.)
  • 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