Tough Questions - Network Dynamics
Tough Questions - Network Dynamics is a prompted conversation exercise for reflection and learning: it helps participants reflect on experience and turn observations into learning.
How to run it
- In People Science Teams, have participants discuss the following questions
- Participants discuss the tough questions around building and maintaining a functioning healthy network
- Debrief what has been learned as a group
- Have participants draw or visualize a healthy network
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.
What participants need now
Materials:
This is a participant-safe snapshot, not a response form. It sends nothing back to the facilitator.
Prompts to use +
In People Science Teams, have participants discuss the following questions
Participants discuss the tough questions around building and maintaining a functioning healthy network
Debrief what has been learned as a group
Have participants draw or visualize a healthy network
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: Tough Questions - Network Dynamics. Readiness: Publishable Draft. Core moves: In People Science Teams, have participants discuss the following questions; Participants discuss the tough questions around building and maintaining a functioning healthy network; Debrief what has been learned as a group; Have participants draw or visualize a healthy network. 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 Relationship Makers Handbook; aggregators are listed as additional observations, not origin proof. (1 source observed, including Relationship Makers Handbook.)
- What that does and does not claim: we track where an exercise has been seen in public sources. We do not claim to know who created it, how popular it is, or that it works. See methodology and trust boundary.
- Corrections welcome: if you have evidence of an earlier or more accurate source, tell us.