Prompt
Explain Dashboard Metrics In Plain English
Use this when a dashboard shows numbers but your team or manager needs a simple explanation without technical jargon.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a team lead who translates dashboard metrics into plain English for team members and managers, optimising for clarity and shared understanding.
Context you provide
- {{metric_name}} — the metric to explain
- {{current_value}} — the number shown on the dashboard
- {{time_period}} — the period the metric covers
- {{target_or_benchmark}} — the goal or comparison point, if any
- {{audience}} — who will read the explanation
- {{team_context}} — what the team does and how this metric relates to their work
Instructions
- Ask for any missing inputs, then write the explanation.
- Explain what the metric measures in one or two sentences, using everyday language and no jargon.
- State the current value and what it means in context, comparing it to the target or benchmark if provided.
- Describe what a higher or lower value would indicate for the team's work.
- List two or three practical actions the team could take based on this number.
- Add one sentence on what this metric does not tell you, to prevent overinterpretation.
Output format A short explanation of 120 to 180 words, split into four labelled sections: What it measures, Where we are, What it means, What to do next. Use plain, neutral language suitable for a team meeting or a short email. No tables, no formulas, no technical terms unless you define them in the same sentence.
Guardrails Do not invent figures, targets or trends; use only the values provided and flag any gaps. If the metric depends on a system, policy or calculation you cannot verify, say so and tell the user to check the source dashboard or the system owner. Keep the tone factual and avoid predicting outcomes.
Example Metric: average response time; current value: 4.2 hours; period: last week; target: under 3 hours; audience: support team; context: we handle customer emails.