interpreting-culture-index

SKILL.md

<essential_principles>

Culture Index measures behavioral traits, not intelligence or skills. There is no "good" or "bad" profile.

The 0-10 scale is just a ruler. What matters is distance from the red arrow (population mean at 50th percentile). The arrow position varies between surveys based on EU.

Why the arrow moves: Higher EU scores cause the arrow to plot further right; lower EU causes it to plot further left. This does not affect validity—we always measure distance from wherever the arrow lands.

Wrong: "Dan has higher autonomy than Jim because his A is 8 vs 5"
Right: "Dan is +3 centiles from his arrow; Jim is +1 from his arrow"

Always ask: Where is the arrow, and how far is the dot from it?

"You can't send a duck to Eagle school." Traits are hardwired—you can only modify behaviors temporarily, at the cost of energy.

Top graph (Survey Traits): Hardwired by age 12-16. Does not change. Writing with your dominant hand.

Bottom graph (Job Behaviors): Adaptive behavior at work. Can change. Writing with your non-dominant hand.

Large differences between graphs indicate behavior modification, which drains energy and causes burnout if sustained 3-6+ months.

Distance
Label
Percentile
Interpretation

On arrow
Normative
50th
Flexible, situational

±1 centile
Tendency
~67th
Easier to modify

±2 centiles
Pronounced
~84th
Noticeable difference

±4+ centiles
Extreme
~98th
Hardwired, compulsive, predictable

Key insight: Every 2 centiles of distance = 1 standard deviation.

Extreme traits drive extreme results but are harder to modify and less relatable to average people.

Unlike A, B, C, D, you CAN compare L and I scores directly between people:

Logic 8 means "High Logic" regardless of arrow position

Ingenuity 2 means "Low Ingenuity" for anyone

Only these two traits break the "no absolute comparison" rule.

</essential_principles>

When to Use

Interpreting Culture Index survey results (individual or team)

Analyzing CI profiles from PDF or JSON data

Assessing team composition using Gas/Brake/Glue framework

Detecting burnout risk by comparing Survey vs Job graphs

Defining hiring profiles based on CI trait patterns

Coaching managers on how to work with specific CI profiles

Predicting CI traits from interview transcripts

Mediating team conflict using CI profile data

When NOT to Use

For non-CI behavioral assessments (DISC, Myers-Briggs, StrengthsFinder, Predictive Index, Enneagram)

For clinical psychological assessments or diagnoses

As the sole basis for hiring/firing decisions — CI is one data point among many

<input_formats>

JSON (Use if available)

If JSON data is already extracted, use it directly:

import json
with open("person_name.json") as f:
    profile = json.load(f)

JSON format:

{
  "name": "Person Name",
  "archetype": "Architect",
  "survey": {
    "eu": 21,
    "arrow": 2.3,
    "a": [5, 2.7],
    "b": [0, -2.3],
    "c": [1, -1.3],
    "d": [3, 0.7],
    "logic": [5, null],
    "ingenuity": [2, null]
  },
  "job": { "..." : "same structure as survey" },
  "analysis": {
    "energy_utilization": 148,
    "status": "stress"
  }
}

Note: Trait values are [absolute, relative_to_arrow] tuples. Use the relative value for interpretation.

Check same directory as PDF for matching .json file, or ask user if they have extracted JSON.

PDF Input (MUST EXTRACT FIRST)

⚠️ NEVER use visual estimation for trait values. Visual estimation has 20-30% error rate.

When given a PDF:

Check if JSON already exists (same directory as PDF, or ask user)

If not, run extraction with verification:
uv run {baseDir}/scripts/extract_pdf.py --verify /path/to/file.pdf [output.json]

Visually confirm the verification summary matches the PDF

Use the extracted JSON for interpretation

If uv is not installed: Stop and instruct user to install it (brew install uv or pip install uv). Do NOT fall back to vision.

PDF Vision (Reference Only)

Vision may be used ONLY to verify extracted values look reasonable, NOT to extract trait scores.

</input_formats>

Step 0: Do you have JSON or PDF?

If JSON provided or found: Use it directly (skip extraction)

Check same directory as PDF for .json file with matching name

Check if user provided JSON path

If only PDF: Run extraction script with --verify flag
uv run {baseDir}/scripts/extract_pdf.py --verify /path/to/file.pdf [output.json]

If extraction fails: Report error, do NOT fall back to vision

Step 1: What data do you have?

CI Survey JSON → Proceed to Step 2

CI Survey PDF → Extract first (Step 0), then proceed to Step 2

Interview transcript only → Go to option 8 (predict traits from interview)

No data yet → "Please provide Culture Index profile (PDF or JSON) or interview transcript"

Step 2: What would you like to do?

Profile Analysis:

Interpret an individual profile - Understand one person's traits, strengths, and challenges

Analyze team composition - Assess gas/brake/glue balance, identify gaps

Detect burnout signals - Compare Survey vs Job, flag stress/frustration

Compare multiple profiles - Understand compatibility, collaboration dynamics

Get motivator recommendations - Learn how to engage and retain someone

Hiring & Candidates:
6. Define hiring profile - Determine ideal CI traits for a role
7. Coach manager on direct report - Adjust management style based on both profiles
8. Predict traits from interview - Analyze interview transcript to estimate CI traits
9. Interview debrief - Assess candidate fit based on predicted traits

Team Development:
10. Plan onboarding - Design first 90 days based on new hire and team profiles
11. Mediate conflict - Understand friction between two people using their profiles

Provide the profile data (JSON or PDF) and select an option, or describe what you need.

Response
Workflow

"extract", "parse pdf", "convert pdf", "get json from pdf"
workflows/extract-from-pdf.md

1, "individual", "interpret", "understand", "analyze one", "single profile"
workflows/interpret-individual.md

2, "team", "composition", "gaps", "balance", "gas brake glue"
workflows/analyze-team.md

3, "burnout", "stress", "frustration", "survey vs job", "energy", "flight risk"
workflows/detect-burnout.md

4, "compare", "compatibility", "collaboration", "multiple", "two profiles"
workflows/compare-profiles.md

5, "motivate", "engage", "retain", "communicate"
Read references/motivators.md directly

6, "hire", "hiring profile", "role profile", "recruit", "what profile for"
workflows/define-hiring-profile.md

7, "manage", "coach", "1:1", "direct report", "manager"
workflows/coach-manager.md

8, "transcript", "interview", "predict traits", "guess", "estimate", "recording"
workflows/predict-from-interview.md

9, "debrief", "should we hire", "candidate fit", "proceed", "offer"
workflows/interview-debrief.md

10, "onboard", "new hire", "integrate", "starting", "first 90 days"
workflows/plan-onboarding.md

11, "conflict", "friction", "mediate", "not working together", "clash"
workflows/mediate-conflict.md

"conversation starters", "how to talk to", "engage with"
Read references/conversation-starters.md directly

After reading the workflow, follow it exactly.

<verification_loop>

After every interpretation, verify:

Did you use relative positions? Never stated "A is 8" without context

Did you reference the arrow? All trait interpretations relative to arrow

Did you compare Survey vs Job? Identified any behavior modification

Did you avoid value judgments? No traits called "good" or "bad"

Did you check EU? Energy utilization calculated if both graphs present

Report to user:

"Interpretation complete"

Key findings (2-3 bullet points)

Recommended actions

</verification_loop>

<reference_index>

Domain Knowledge (in references/):

Primary Traits:

primary-traits.md - A (Autonomy), B (Social), C (Pace), D (Conformity)

Secondary Traits:

secondary-traits.md - EU (Energy Units), L (Logic), I (Ingenuity)

Patterns:

patterns-archetypes.md - Behavioral patterns, trait combinations, archetypes

Archetype Deep Profiles (archetype-*.md):

archetype-administrator.md - The Administrator (High A, High B, Low C, Mid D)

archetype-coordinator.md - The Coordinator (Low A, High B, Mid C, Low D)

archetype-craftsman.md - The Craftsman (Low A, Low B, High C, High D)

archetype-daredevil.md - The Daredevil (High A, Low B, Low C, Low D)

archetype-debater.md - The Debater (Mid A, Mid-High B, Low C, High D)

archetype-facilitator.md - The Facilitator (Low A, Mid B, Mid C, Low D)

archetype-influencer.md - The Influencer (Low A, High B, Low C, Low D)

archetype-operator.md - The Operator (Low A, Low B, High C, Mid-High D)

archetype-persuader.md - The Persuader (High A, High B, Low C, Low D)

archetype-philosopher.md - The Philosopher (Low A, Low B, High C, Low D)

archetype-rainmaker.md - The Rainmaker (High A, High B, Low C, Low D)

archetype-scholar.md - The Scholar (High A, Low B, Low C, High D)

archetype-socializer.md - The Socializer (Low A, High B, Low C, Low D)

archetype-specialist.md - The Specialist (Low A, Low B, High C, Mid D)

archetype-technical-expert.md - The Technical Expert (Low A, Low B, High C, Low D)

archetype-traditionalist.md - The Traditionalist (Low A, Low B, High C, High D)

archetype-trailblazer.md - The Trailblazer (High A, Mid B, Mid C, Low D)

Application:

motivators.md - How to motivate each trait type

team-composition.md - Gas, brake, glue framework

anti-patterns.md - Common interpretation mistakes

conversation-starters.md - How to engage each pattern and trait type

interview-trait-signals.md - Signals for predicting traits from interviews

</reference_index>

<workflows_index>

Workflows (in workflows/):

File
Purpose

extract-from-pdf.md
Extract profile data from Culture Index PDF to JSON format

interpret-individual.md
Analyze single profile, identify archetype, summarize strengths/challenges

analyze-team.md
Assess team balance (gas/brake/glue), identify gaps, recommend hires

detect-burnout.md
Compare Survey vs Job, calculate EU utilization, flag risk signals

compare-profiles.md
Compare multiple profiles, assess compatibility, collaboration dynamics

define-hiring-profile.md
Define ideal CI traits for a role, identify acceptable patterns and red flags

coach-manager.md
Help managers adjust their style for specific direct reports

predict-from-interview.md
Analyze interview transcripts to predict CI traits before survey

interview-debrief.md
Assess candidate fit using predicted traits from transcript analysis

plan-onboarding.md
Design first 90 days based on new hire profile and team composition

mediate-conflict.md
Understand and address friction between team members using their profiles

</workflows_index>

<quick_reference>

Trait Colors:

Trait
Color
Measures

A
Maroon
Autonomy, initiative, self-confidence

B
Yellow
Social ability, need for interaction

C
Blue
Pace/Patience, urgency level

D
Green
Conformity, attention to detail

L
Purple
Logic, emotional processing

I
Cyan
Ingenuity, inventiveness

Energy Utilization Formula:

Utilization = (Job EU / Survey EU) × 100

70-130% = Healthy
>130% = STRESS (burnout risk)
<70% = FRUSTRATION (flight risk)

Gas/Brake/Glue:

Role
Trait
Function

Gas
High A
Growth, risk-taking, driving results

Brake
High D
Quality control, risk aversion, finishing

Glue
High B
Relationships, morale, culture

Score Precision:

Value
Precision
Example

Traits (A,B,C,D,L,I)
Integer 0-10
0, 1, 2, ... 10

Arrow position
Tenths
0.4, 2.2, 3.8

Energy Units (EU)
Integer
11, 31, 45

</quick_reference>

<success_criteria>

A well-interpreted Culture Index profile:

Uses relative positions (distance from arrow), never absolute values alone

Identifies the archetype/pattern correctly

Highlights 2-3 key strengths based on leading traits

Notes 2-3 challenges or development areas

Compares Survey vs Job if both are available

Provides actionable recommendations

Avoids value judgments ("good"/"bad")

Acknowledges Culture Index is one data point, not a complete picture

</success_criteria>