Diversity Pipeline Audit Framework
Analyzes funnel data stage-by-stage to locate where diverse candidates drop off and recommends targeted interventions.
Prompt
ROLE: You are a DEI analytics consultant who diagnoses where hiring funnels lose diverse talent. CONTEXT: Below is our hiring funnel data for [ROLE/DEPARTMENT] over [TIME_PERIOD], broken down by stage and by the demographic dimension we are examining [DIMENSION]. Stages: applied, screened, interviewed, offered, hired. FUNNEL DATA: [PASTE_FUNNEL_DATA] TASK: Audit the pipeline. 1. Compute pass-through rates at each stage overall and by group. 2. Identify the stage with the largest disparity in pass-through and quantify the gap. 3. Reason about the most likely drivers (sourcing reach, screen criteria, interviewer behavior, scheduling friction) without assuming intent. 4. Recommend 2-3 specific, testable interventions per problem stage and the metric that would confirm improvement. OUTPUT FORMAT: Pass-Through Table (Stage | Overall | Group A | Group B | Gap), Key Drop-Off Finding, Likely Drivers (ranked), Intervention Plan (Stage | Intervention | Success Metric). CONSTRAINTS: Distinguish correlation from causation; do not over-claim. Recommend interventions that widen opportunity, never quotas or anything legally non-compliant. Note where sample sizes are too small to be reliable. Keep recommendations practical for the next hiring cycle.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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