JAMAITYACADEMY

SE & AI · Facilitator resources

Printable worksheets

Every activity from the handbook, written as a sheet you can print and take into the room. Each one lists the goal, materials, steps and debrief questions.

↓ Download the full handbook (PDF)

AI Tool Exploration

Goal Give participants hands-on experience with beginner-friendly AI tools and build basic AI literacy.

Materials Laptops or tablets, internet access, projector, AI glossary handout.

Steps

  1. Introduce one AI tool — OpenAI Playground, Teachable Machine, or Lobe.ai — with a short demonstration.
  2. Split into small groups and assign each a different tool to experiment with.
  3. Groups explore what the tool can do: text generation, image classification, or model building.
  4. Each group notes one capability that could help a social enterprise and one ethical concern.
  5. Groups present their findings in three minutes to the whole room.

Debrief questions

  • Which tool surprised you the most?
  • What ethical concern did your group identify?
  • How could this tool help solve a problem in your community?

Facilitator notes

Problem Definition with AI

Goal Use AI research tools to understand a social challenge and define a clear, data-driven problem statement.

Materials Laptops, internet, sticky notes, markers, problem-definition framework handout.

Steps

  1. Choose a local social challenge as a group — food insecurity, unemployment, or education access.
  2. Use Elicit.org or Perplexity AI to research the challenge and gather data.
  3. Use Datawrapper or Tableau Public to visualise one pattern or root cause you found.
  4. Refine your problem statement using ChatGPT with a structured prompt for clarity and scope.
  5. Share the refined statement with another group for feedback.

Debrief questions

  • How did AI change your understanding of the problem?
  • What data surprised you?
  • Is your problem statement clearer than your first draft? What changed?

Facilitator notes

Business Model Canvas with AI

Goal Build and test a mission-driven business model for a social enterprise using AI tools.

Materials Laptops, internet, printed business model canvas template, sticky notes.

Steps

  1. Use Strategyzer AI or Leanstack to draft a business model canvas for your social enterprise idea.
  2. Test one assumption using CB Insights or Crunchbase for market validation.
  3. Refine your value proposition using AI-assisted customer insights from ChatGPT.
  4. Use Gamma.app to create a one-page visual summary of your model.
  5. Present the model to the group for a two-minute peer review.

Debrief questions

  • Which part of the canvas was hardest to fill?
  • What did the market data tell you about your assumption?
  • How did AI help you refine the value proposition?

Facilitator notes

Impact Measurement Design

Goal Design impact metrics and create a narrative using AI-assisted data tools.

Materials Laptops, internet, impact metric templates, sample data sets.

Steps

  1. Identify three impact metrics appropriate for your social enterprise goal.
  2. Use Sopact or 60 Decibels to design a simple measurement framework.
  3. Create a one-page impact narrative using ChatGPT and a sample data set.
  4. Use PowerBI or Impact Mapper to build one visualisation of your impact data.
  5. Share your impact narrative with the group and gather feedback on clarity.

Debrief questions

  • Which metric was easiest to define, and which was hardest?
  • How did AI change the way you told your impact story?
  • What would you measure first if you launched tomorrow?

Facilitator notes

AI-Powered Pitch Clinic

Goal Build and deliver a persuasive pitch for a social enterprise using AI design and coaching tools.

Materials Laptops, internet, timer, judging rubric handout.

Steps

  1. Use Pitch.com, Beautiful.ai, or Tome.app to create a 5-slide pitch deck for your social enterprise.
  2. Practice your delivery using Yoodli.ai or Speechify for AI-powered feedback on clarity and timing.
  3. Refine your pitch based on the AI coaching feedback.
  4. Deliver the pitch in three minutes to a panel of peers acting as investors.
  5. Receive structured feedback using the judging rubric.

Debrief questions

  • How did AI tools change your pitch compared to doing it alone?
  • Which AI feedback was most useful for your delivery?
  • What is the one thing you would improve before a real pitch?

Facilitator notes