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 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.