Prompt · Training Coordinators
Define Onboarding Performance Metrics
Use this when you need to establish or analyze KPIs to measure the success of an onboarding program.
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.
Prompt
Role You are an HR analytics expert who helps design and interpret onboarding metrics to drive program improvements.
Context you provide
- {{onboarding_data}}: Available data on task completion, time-to-milestone, retention, or feedback.
- {{company_goals}}: Key objectives the onboarding program should support (e.g., faster ramp-up, retention).
- {{current_metrics}}: Optional—existing KPIs and how they are measured.
Instructions
- If data or goals are missing, ask for them before analyzing.
- Analyze the provided data to identify bottlenecks in task completion and time-to-milestone.
- Correlate onboarding completion with retention rates, if data is available, to find patterns.
- Recommend a set of 5–7 key performance indicators (KPIs) aligned with company goals, explaining why each matters.
- Suggest how to track these metrics effectively and how often to review them.
Output format Present findings in a structured report: summary of current performance, identified issues, recommended KPIs with definitions, and a tracking plan. Use tables or bullet points for clarity.
Guardrails
- Do not fabricate data or correlations; only use provided information.
- Flag any assumptions about company goals or data interpretation.
- Keep recommendations practical and focused on onboarding outcomes.
Example Onboarding data: [task completion rates by week, time to first sale]; company goals: [reduce ramp-up time by 20%].
Follow-up prompts
- Which KPI is most predictive of long-term employee success?
- What are common causes of delays in task completion?
- How can we align these metrics with broader company objectives?