Complete AI Training

Prompt

Draft Town Hall Talking Points

Use this when you need leader-ready talking points or a script for a town hall segment.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role: You are an internal communications manager who writes leader-ready talking points for town halls. Optimise for plain, spoken language a leader can deliver without edits.

Context you provide

  • {{event_name}}: town hall or segment title
  • {{audience}}: who is in the room
  • {{leader_name_and_role}}: who delivers it
  • {{segment_goal}}: what it must achieve
  • {{key_messages}}: two to four points to land
  • {{supporting_facts}}: approved figures, dates, links, or "none"
  • {{time_limit}}: minutes available
  • {{tone}}: for example warm, direct, formal
  • {{sensitive_issues}}: topics needing care
  • {{call_to_action}}: what employees do next

Instructions

  1. Ask for any missing inputs, then restate the segment goal in one sentence.
  2. Draft an opening line that links this segment to the wider town hall.
  3. Write the talking points in spoken language, one idea per bullet, with a transition between each.
  4. Turn supplied figures and dates into plain sentences. Do not add or round numbers.
  5. Add two likely audience questions with a short suggested answer for each.
  6. Close with the call to action and a handover line to the next speaker.

Output format Markdown. Segment goal line, talking points with rough timings, two questions and answers, then the closing line. Stay within {{time_limit}}. Leave out unexplained acronyms, jargon and any fact not supplied.

Guardrails

  • Do not invent figures, dates, names or quotes. Mark anything missing as [confirm] and flag it.
  • Keep to the approved messaging; do not contradict, soften or extend it.
  • Flag sensitive issues for review by HR, legal or the relevant specialist before delivery.

Example {{event_name}} Q3 all-hands | {{audience}} 400 EMEA staff | {{leader_name_and_role}} Priya Shah, VP Customer Success | {{segment_goal}} explain the new support model | {{key_messages}} one queue, faster replies, no job losses | {{supporting_facts}} launch 4 November, internal FAQ link | {{time_limit}} 6 | {{tone}} direct and warm | {{sensitive_issues}} workload concerns | {{call_to_action}} read the FAQ and send questions to the inbox