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Inclusion intervention designer

Translates a diagnosed equity gap into a structured intervention design — selecting process, structural, or behavioral levers matched to the root cause, with an implementation sequence, ownership map, success metrics…

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Purpose

Convert a diagnosed equity gap into a specific, sequenced intervention design that matches the right lever type (process, structural, or behavioral) to the actual root cause — so effort goes toward mechanisms that move outcomes instead of generic training. Solves the common failure where teams reach for an intervention (a workshop, a mentorship program) before diagnosing whether the gap is caused by process design, structural barriers, or behavior.

When to Use

Invoke this skill when the user asks to:

  • Design an intervention to close a diagnosed representation, promotion, pay, or attrition gap
  • Turn audit or listening-session findings into an actionable program
  • Choose between process changes, structural fixes, and behavior-focused interventions for a specific gap
  • Fix a specific broken point in the employee lifecycle (sourcing, hiring, onboarding, development, promotion, retention, exit)
  • Build a defensible DEI plan tied to a root cause rather than a calendar of activities
  • Get a second opinion on whether a planned intervention actually addresses the diagnosed cause

Inputs Required

Before starting, collect:

  • The equity gap: The measurable disparity (e.g., "women are 42% of ICs but 18% of managers")
  • Root cause type: What the diagnosis points to — process, structural, or behavioral (or "unsure — help me classify")
  • Affected population: The group(s) experiencing the gap
  • Lifecycle stage: Where in the employee journey the gap appears (sourcing, screening, interview, offer, onboarding, development, promotion, pay, retention, exit)
  • What's been tried: Prior interventions and their results, if any
  • Constraints: Budget, headcount, leadership appetite, timeline, org size
  • Data availability: What's measured today and how often

If root cause type is missing or the user is unsure, run Step 1's classification before designing anything. If constraints are missing, design a default plan and flag decisions that depend on budget or headcount.

Instructions

Step 1: Classify the Root Cause (if not already diagnosed)

A gap has a symptom (the number) and a cause (the mechanism producing it). Interventions must target the cause. Classify into one of three lever families:

  • Process cause: The workflow or decision procedure itself produces disparate outcomes — inconsistent interview rubrics, referral-heavy sourcing, unstructured promotion nominations, subjective ratings. Tell by: the disparity concentrates at a decision point and shrinks when the procedure is standardized.
  • Structural cause: The system's design, policies, or resource distribution creates barriers — pay bands, benefits, scheduling, credential requirements, geographic access, sponsorship access, "who gets the stretch assignment." Tell by: the disparity exists before any individual decision is made; the rules themselves disadvantage the group.
  • Behavioral cause: Individual and interpersonal patterns drive outcomes — bias in ratings, exclusionary team norms, uneven feedback, in-group affinity, microaggressions affecting retention. Tell by: the disparity persists even after process is standardized and structure is neutral.

State the classification explicitly and name the single dominant cause. If two co-exist, rank them and design for the dominant one first — behavioral interventions rarely fix a process problem.

Step 2: Select the Intervention Lever

Match the lever to the classified cause. Prefer the highest-leverage, most durable option available.

Process levers (redesign the decision):

  • Structured interview rubrics with pre-committed criteria and scoring
  • Blind or de-identified screening at the sourcing/screening stage
  • Standardized promotion nomination criteria replacing manager discretion
  • Diverse slate requirements at the hiring or promotion stage
  • Calibration sessions for performance ratings with challenge questions

Structural levers (redesign the system):

  • Pay band audits and correction with ongoing equity monitoring
  • Sponsorship program with explicit access rules (not open-application mentorship)
  • Revised credential/experience requirements that gate out qualified talent
  • Flexible work, benefits, or scheduling policy changes
  • Equitable distribution of high-visibility assignments via a tracked rotation

Behavioral levers (change the pattern):

  • Manager feedback-equity training tied to a rubric and follow-up audit
  • Norm-setting interventions on inclusive team behaviors with accountability
  • Bias interrupters embedded in existing meetings (not standalone workshops)
  • Peer accountability structures and reporting mechanisms

Rank the top 2–3 candidate interventions by expected impact and feasibility given constraints. Name the primary recommendation.

Step 3: Design the Primary Intervention

For the chosen intervention, specify:

  1. Mechanism of action: The exact causal chain — how this changes the number, in one sentence
  2. What changes concretely: The specific procedure, policy, or behavior that will be different, described precisely enough to implement
  3. Scope: Which teams, roles, or decisions it applies to, and any phased rollout
  4. Prerequisites: Data, tooling, leadership sign-off, or policy changes required first

Step 4: Sequence and Assign

  • Implementation sequence: 3–5 phases from pilot to full rollout, with a defensible order (pilot narrow → validate → scale)
  • Ownership map: For each phase, name the accountable role (RACI-style — who decides, who does the work, who is consulted)
  • Timeline: Realistic milestones, distinguishing quick wins (0–90 days) from durable change (6–18 months)

Step 5: Define Success Metrics

  • Leading indicators: Behavioral or process signals visible within 30–90 days (e.g., rubric adoption rate, slate diversity, calibration challenge frequency)
  • Lagging indicators: The actual gap metric and the cadence to measure it — set a specific target and baseline
  • Guardrail metric: One number that must NOT get worse (e.g., overall time-to-hire, quality-of-hire, non-target-group experience scores)

Step 6: Unintended-Consequence Check

Name 2–4 predictable side effects and how to prevent them:

  • Backlash or perceived unfairness among non-target groups
  • Tokenism, stigma, or "diversity hire" perception
  • Gaming the metric (e.g., diverse slates filled without genuine consideration)
  • Process burden causing quiet abandonment by managers For each, state the specific mitigation built into the design.

Output Format

  • Structure: Six labeled sections in order, matching the instruction steps
  • Length: 900–1,300 words
  • Format: Structured document — prose for reasoning, bulleted specifics, and a compact ownership/timeline table
  • Sections: Root Cause Classification → Lever Selection (ranked) → Primary Intervention Design → Sequence & Ownership → Success Metrics → Unintended-Consequence Check
  • Tone: Organizational effectiveness advisor — evidence-oriented, direct, willing to say a popular intervention won't work if it doesn't match the cause

Quality Checklist

Before delivering output, verify:

  • [ ] The intervention's lever type matches the classified root cause (no behavioral fix for a process gap)
  • [ ] The mechanism of action states a specific causal chain, not a hope
  • [ ] Both leading and lagging metrics are named, with a baseline and target for the lagging one
  • [ ] At least one guardrail metric is specified
  • [ ] Ownership is assigned to named roles per phase — not "the DEI team" for everything
  • [ ] 2–4 unintended consequences are named, each with a concrete mitigation

Notes

  • The most common design error is defaulting to training (a behavioral lever) for what is actually a process or structural problem — training doesn't fix an unstructured interview or an inequitable pay band.
  • Structural and process levers are usually more durable than behavioral ones because they change outcomes even when individual attention lapses; recommend them first when the cause supports it.
  • Diverse-slate and mentorship interventions are frequently misapplied: slates without structured evaluation just add a checkbox, and open-application mentorship rarely reaches those without existing access — sponsorship with explicit access rules does.
  • If the gap spans multiple lifecycle stages, design for the earliest stage first; downstream gaps often shrink once the upstream mechanism is fixed.

How to use this skill

This file is a Claude Code skill in Anthropic's standard format — markdown with YAML frontmatter at the top.

Installing in Claude Code:

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  • <your-project>/.claude/skills/<folder-name>/SKILL.md — auto-loads only when working in that project (recommended for project-specific skills)

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Using in Claude.ai, ChatGPT, Gemini, or other AI tools:

  1. Drag this file into a new chat, or copy and paste its contents
  2. Send your task or request as your next message — the AI will apply the skill where it fits

For Claude Code skill details: https://docs.anthropic.com/en/docs/claude-code/skills