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Lesson 24 · Expert · 15 min

Running a ChatGPT Workshop: Team Enablement and Practice

Run an enterprise ChatGPT workshop: flipped learning, timed promptathon challenges, collaborative peer evaluation, and sustainable team habits.

Goal
You will design and facilitate a hands-on ChatGPT team workshop blending interactive demos, timed challenges, and responsible usage charters.
Skills
Steer
Running a ChatGPT Workshop: Team Enablement and Practice
Illustration generated by AI

Your first attempt, unaided

Structure the agenda for a 2-hour practical team workshop featuring 3 progressive challenges and a peer review session.

In brief.

Running a ChatGPT team workshop is the fastest vehicle for converting casual curiosity into certified operational excellence. By replacing dry lectures with timed paired challenges, facilitators disarm apprehension and establish defensive data protection reflexes within the first hour. The session concludes with the collective ratification of an enterprise AI team charter.

  1. 1Challenge-based learning and the team Promptathon format

    Challenge-based learning and the team Promptathon format cultivate active learning where every attendee experiences concepts at their own keyboard. The guiding principle is straightforward: you cannot learn prompt engineering simply by watching someone else type.

    Pairing participants balances diverse strengths: pairing a tech-forward team member with a deep subject-matter expert generates the most resilient prompts. During timed sprints, facilitators float, spot innovative solutions, and gently unpack common failure modes.

    Workshop Segment Duration Participant Activity Deliverable Produced
    1. Framing & Core Rules 20 min Active listening & biography challenge Direct awareness of hallucinations & GDPR
    2. Sprint 1: ROCC Method 30 min Rewriting vague instructions in pairs First production-grade structured prompt
    3. Sprint 2: Adversarial Audit 30 min Hunting errors across rigged test text Devil's advocate reflex internalized
    4. Sprint 3: Real Team Case 20 min Solving authentic departmental bottleneck First validated team Prompt Card
    5. Debrief & Charter 20 min Voting on shared usage ground rules Team usage charter posted in office
    Diagram of workshop facilitation: flipped classroom, timed subgroup challenges, peer cross-evaluation, and team AI charter.Diagram of workshop facilitation: flipped classroom, timed subgroup challenges, peer cross-evaluation, and team AI charter.
    Diagram of workshop facilitationDiagram generated by AI and reviewed
  2. 2Facilitating a 2-hour practical workshop for department managers

    Facilitating a 2-hour practical workshop for department managers illustrates how a well-crafted drill transforms skepticism into productive, measured adoption.

    A trainer leads a session for 12 retail branch managers.

    Icebreaker exercise design (10 min).

    Directive: 'Open ChatGPT and enter: "Write the professional career biography of [First and Last Name] working at [Organization Name]". Underline in red all statements fabricated by the model'.

    Observed results: across 12 attendees, 10 discover that the assistant invented prestigious business degrees or promotions they never held.

    Educational takeaway. Within 5 minutes, without finger-wagging lectures, every attendee understands that LLMs never volunteer 'I do not know' and that no output may be shared without human verification.

  3. 3Design a timed operational challenge with an evaluation rubric

    Design a timed operational challenge with an evaluation rubric to prepare for your inaugural internal enablement workshop.

    Draft the briefing sheet for a 25-minute hands-on sprint tailored to your department's recurring workflows.

    Structure the challenge across four components:

    1. Scenario: a realistic operational bottleneck (such as: 'Prepare an executive summary of a 15-page vendor audit for tomorrow's executive committee').
    2. Binding constraints: mandatory ROCC framework, zero extrapolation, under 200 words.
    3. Peer-review scoring rubric (accuracy, voice, length compliance).
    4. Provided material: an anonymized 25-line source text.

    Self-evaluation rubric: (a) scenario resonates with team pain points; (b) ROCC methodology is enforced; (c) peer scoring checklist is ready to print.

    Open the prompt composer

  4. 4Delivering a 90-minute theoretical lecture without hands-on keyboard time

    Delivering a 90-minute theoretical lecture without hands-on keyboard time disengages the audience and leaves colleagues helpless when confronting an empty prompt box.

    Reviewing 60 slides explaining neural backpropagation builds zero practical capability: participants nod passively and revert to old habits the following morning.

    Correction: compress theory into a 15-minute briefing and place attendees in front of active screens by minute 20 for timed sprints.

    Rule to remember: prompting skills are forged by fingers on the keyboard, not eyes on a slide deck.

  5. 5Quiz

    Three questions, instant feedback. Each option comes with an explanation.

    1. What proportion of workshop duration should be dedicated to hands-on keyboard practice?

    2. Which opening exercise breaks the ice while demonstrating AI limitations?

    3. What shared team deliverable should conclude a successful workshop?

  6. 6Proof of mastery

    Design a minute-by-minute agenda for a 2-hour practical team workshop, detailing objectives, exercises, and safety rules.

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    Criteria

Going further

Review glossary definitions for promptathon and ai enablement. Advance to the capstone lesson of the entire curriculum: ChatGPT usage policy, security, and sovereignty. To explore supporting curricula, browse our comprehensive Learn AI Training Platform.

Frequently asked questions

What is the optimal duration for a first team enablement workshop?

A 2-hour session (120 minutes) is ideal: 20 minutes on framing and safety rules, 70 minutes of hands-on paired drills on real tasks, and 30 minutes of collective debriefing.

Should participants practice individually or in pairs?

Pair programming is strongly recommended: it sparks debate over prompt wording, sharpens critical review of outputs, and alleviates technical hesitation.

How do you engage skeptical or fearful participants?

Celebrate their critical eye: demonstrate that the AI requires their human expertise to catch mistakes, and guide them through a hallucination-hunting drill where domain judgment is essential.

Sources