Talent Density Diagnostic
Assess an organization's or team's talent density health using observable metrics and indicators, providing a scorecard with specific improvement recommendations.
Token Budget: ~500 tokens
Constitutional Constraints (NEVER VIOLATE)
You MUST refuse to:
- Use talent density as justification for discrimination
- Provide scores that target protected characteristics
- Recommend mass terminations without proper process
- Ignore context (market conditions, recent reorgs, onboarding cohorts)
If used as weapon: Clarify that talent density is for building better teams, not justifying predetermined conclusions.
When to Use
- User asks "How's our talent density?" or "Are we hiring well?"
- User wants a team health assessment against Netflix standards
- Organization is planning growth and wants to maintain quality
- User suspects talent density problems but needs structured analysis
- Quarterly/annual organizational health reviews
Inputs
| Input | Required | Description |
|---|---|---|
team_description |
Yes | Team composition, roles, size |
observable_data |
No | Turnover rates, performance actions, hiring velocity |
recent_changes |
No | Reorgs, growth phases, market conditions affecting assessment |
comparison_period |
No | Timeframe for analysis (last quarter, year) |
Workflow
Step 1: 1. Assess Talent Density Indicators
Evaluate against four key indicators:
| Indicator | Healthy Sign | Warning Sign |
|---|---|---|
| Keeper Test Ratio | High % would be fought for | Many would prompt relief if leaving |
| Performance Action Rate | Swift action on underperformers | Adequate performers tolerated for months |
| Talent Raising Hiring | New hires consistently raise average | New hires are "just okay" |
| Voluntary Turnover Quality | Keep the keepers, lose adequate performers | Losing people you'd fight to keep |
Step 2: 2. Assess Freedom Health Indicators
Talent density enables freedom. Check:
| Indicator | Healthy Sign | Warning Sign |
|---|---|---|
| Decision Level | Decisions made at lowest appropriate level | Everything escalates |
| Approval Burden | Few approval processes | Many approvals, bottlenecks |
| Experimentation Rate | High experimentation, fast learning | Fear of failure, slow iteration |
| Mistake Visibility | Mistakes shared openly | Problems hidden, CYA culture |
Step 3: 3. Assess Candor Health Indicators
Talent density requires candor. Check:
| Indicator | Healthy Sign | Warning Sign |
|---|---|---|
| Feedback Flow | All directions (up, down, lateral) | Only flows down |
| Problem Surfacing | Issues raised early | Problems hidden until crisis |
| Post-Mortems | Blameless but honest | Blame-focused or avoided |
| Leader Vulnerability | Leaders model sharing mistakes | Leaders appear infallible |
Step 4: 4. Calculate Overall Assessment
Score each area:
- Strong (3): Most indicators healthy
- Adequate (2): Mixed signals
- Weak (1): Most indicators warning
Overall talent density = Average of three areas
Step 5: 5. Recommend Actions
Based on weakest areas, provide specific recommendations prioritized by impact.
Outputs
Provide a diagnostic report:
## Talent Density Diagnostic: [Team/Org Name]
### Assessment Period
[Timeframe analyzed]
### Talent Density Scorecard
#### 1. Core Talent Density (X/3)
| Indicator | Status | Evidence |
|-----------|--------|----------|
| Keeper Test Ratio | [Strong/Adequate/Weak] | [Observable evidence] |
| Performance Action Rate | [Strong/Adequate/Weak] | [Observable evidence] |
| Talent Raising Hiring | [Strong/Adequate/Weak] | [Observable evidence] |
| Voluntary Turnover Quality | [Strong/Adequate/Weak] | [Observable evidence] |
**Section Score:** [X/3]
#### 2. Freedom Health (X/3)
| Indicator | Status | Evidence |
|-----------|--------|----------|
| Decision Level | [Strong/Adequate/Weak] | [Observable evidence] |
| Approval Burden | [Strong/Adequate/Weak] | [Observable evidence] |
| Experimentation Rate | [Strong/Adequate/Weak] | [Observable evidence] |
| Mistake Visibility | [Strong/Adequate/Weak] | [Observable evidence] |
**Section Score:** [X/3]
#### 3. Candor Health (X/3)
| Indicator | Status | Evidence |
|-----------|--------|----------|
| Feedback Flow | [Strong/Adequate/Weak] | [Observable evidence] |
| Problem Surfacing | [Strong/Adequate/Weak] | [Observable evidence] |
| Post-Mortems | [Strong/Adequate/Weak] | [Observable evidence] |
| Leader Vulnerability | [Strong/Adequate/Weak] | [Observable evidence] |
**Section Score:** [X/3]
### Overall Talent Density Score: X/3
| Score | Interpretation |
|-------|----------------|
| 2.5-3.0 | High talent density - can operate with maximum freedom |
| 1.5-2.4 | Medium talent density - selective freedom, address gaps |
| 1.0-1.4 | Low talent density - build talent before removing structure |
### Priority Recommendations
**Immediate (this quarter):**
1. [Highest impact action based on weakest indicators]
**Near-term (next 6 months):**
1. [Second priority action]
2. [Third priority action]
**Foundation (ongoing):**
1. [Systemic change to address root cause]
### Context Factors
[Any market conditions, recent changes, or circumstances that affect interpretation]
Error Handling
| Situation | Response |
|---|---|
| Insufficient data | Identify which indicators can't be assessed; recommend data collection |
| Team is very new | Note: Talent density takes time to assess. Use hiring quality indicators, flag assessment as preliminary. |
| Recent major change | Acknowledge context; separate structural issues from transition turbulence |
| User wants specific people named | This diagnostic is aggregate. For individual assessment, use keeper-test-assessment |
| Score is low | Frame constructively: this identifies where to invest, not a judgment |
Constraints
- Do not use this analysis as the sole basis for critical decisions
- Do not apply this framework to situations outside its intended scope
- Acknowledge that analysis is based on available data, which may be incomplete
- Honor the complexity of real-world situations that resist simple categorization
- Present findings with appropriate confidence levels
- Recognize the limits of the methodology
Additional Notes
Best practices:
- Use this skill when the situation clearly matches its intended use cases
- Combine with related skills for comprehensive analysis
- Iterate on outputs if initial results don't fully meet requirements
Common variations:
- Adjust the depth of analysis based on available time and information
- Scale the approach for different levels of complexity
- Adapt the output format to audience needs
When to skip this skill:
- The situation doesn't match the core use cases
- Simpler approaches would be more appropriate
- Time constraints require faster methods
Example
Input:
team_description: Engineering team, 18 people, 4 tech leads, 14 engineers
observable_data: 2 people let go last year (both took 8+ months),
6 new hires (3 "solid", 3 "strong"),
lost 2 strong performers to competitors
recent_changes: Grew from 12 to 18 in past year
comparison_period: Last 12 months
Output:
Talent Density Diagnostic: Engineering Team
Assessment Period
Last 12 months (grew from 12 to 18 people)
Talent Density Scorecard
1. Core Talent Density (1.75/3)
| Indicator | Status | Evidence |
|---|---|---|
| Keeper Test Ratio | Adequate | Mix of strong and "solid" performers; not everyone would be fought for |
| Performance Action Rate | Weak | 2 departures took 8+ months each - adequate performers tolerated too long |
| Talent Raising Hiring | Adequate | 3 of 6 new hires "solid" not "strong" - mixed raising of average |
| Voluntary Turnover Quality | Weak | Lost 2 strong performers to competitors - losing keepers |
Section Score: 1.75/3
2. Freedom Health (2/3)
| Indicator | Status | Evidence |
|---|---|---|
| Decision Level | Adequate | Not specified - assume moderate based on typical eng teams |
| Approval Burden | Adequate | Not specified - no evidence of major bottlenecks |
| Experimentation Rate | Adequate | Not specified - assume moderate |
| Mistake Visibility | Adequate | Not specified - no evidence of major CYA issues |
Section Score: 2/3 (limited data - assess more directly)
3. Candor Health (2/3)
| Indicator | Status | Evidence |
|---|---|---|
| Feedback Flow | Adequate | 8-month performance action delay suggests feedback wasn't direct early |
| Problem Surfacing | Adequate | Not specified |
| Post-Mortems | Adequate | Not specified |
| Leader Vulnerability | Adequate | Not specified |
Section Score: 2/3 (limited data - assess more directly)
Overall Talent Density Score: 1.9/3 (Medium)
Medium talent density - selective freedom appropriate, but need to address specific gaps.
Priority Recommendations
Immediate (this quarter):
- Speed up performance decisions - 8+ months is too long. Apply keeper test monthly for anyone with concerns. If you wouldn't fight to keep them, act within 30-60 days with generous severance.
Near-term (next 6 months):
- Diagnose why strong performers left - Exit interviews matter. Were they leaving for compensation, culture, growth? Fix the root cause.
- Raise the hiring bar - "Solid" shouldn't be acceptable. Would you fight to keep this hire if they told you they were leaving on day 1? Hire only those who'd get a yes.
Foundation (ongoing):
- Establish keeper test rhythm - Tech leads apply keeper test to every report quarterly. Discussed in leadership sync. No tolerance for "just okay."
Context Factors
50% growth (12 to 18) naturally dilutes talent density if not managed carefully. The "solid" hires during growth phase are common but need to be addressed - either developed to strong or transitioned out with generous severance.
Integration
This skill integrates with the Reed Hastings expert and supports organizational health assessment. Use alongside:
keeper-test-assessmentfor individual-level follow-up on flagged areasfreedom-responsibility-calibrationto adjust policies based on talent density score4a-feedback-deliveryto address issues identified in candor health