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engagement-analyzer

guia-matthieu
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Esta habilidad analiza los datos de las encuestas de compromiso de los empleados para identificar tendencias clave y priorizar insights accionables. Ayuda a los desarrolladores a transformar los resultados brutos de las encuestas en estrategias de intervención específicas, basándose en marcos establecidos como el Gallup Q12. Úsela para identificar rápidamente los impulsores del compromiso y diseñar planes de mejora respaldados por datos a partir de conjuntos de datos de encuestas.

Instalación rápida

Claude Code

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Principal
npx skills add guia-matthieu/clawfu-skills -a claude-code
Comando PluginAlternativo
/plugin add https://github.com/guia-matthieu/clawfu-skills
Git CloneAlternativo
git clone https://github.com/guia-matthieu/clawfu-skills.git ~/.claude/skills/engagement-analyzer

Copia y pega este comando en Claude Code para instalar esta habilidad

Documentación

Engagement Analyzer

Transform engagement survey data into actionable insights with trend analysis, priority identification, and targeted intervention design.

When to Use This Skill

  • Analyzing survey results
  • Identifying engagement drivers
  • Prioritizing action areas
  • Designing interventions
  • Tracking improvement

Methodology Foundation

Based on Gallup Q12 framework and Qualtrics engagement research, combining:

  • Driver analysis
  • Benchmarking
  • Action prioritization
  • Intervention design

What Claude Does vs What You Decide

Claude DoesYou Decide
Analyzes survey dataSurvey questions
Identifies patternsData collection
Prioritizes actionsResource allocation
Suggests interventionsImplementation
Creates action plansExecutive priorities

Instructions

Step 1: Understand Engagement Model

Key Engagement Dimensions:

DimensionWhat It MeasuresExample Questions
PurposeConnection to mission"My work has meaning"
DevelopmentGrowth opportunity"I learn and grow here"
ManagerLeadership quality"My manager supports me"
TeamCollaboration"My team works well together"
WellbeingWork-life balance"I can manage my workload"
RecognitionAppreciation"I feel valued for my contributions"

Step 2: Analyze Results

Analysis Framework:

MetricCalculationInterpretation
Overall ScoreAverage of all itemsHealth indicator
Favorability% Agree + Strongly AgreePositive sentiment
eNPSPromoters - DetractorsLoyalty indicator
ParticipationResponses / InvitedData reliability

Comparison Points:

  • Previous survey (trend)
  • Company benchmark
  • Industry benchmark
  • Team vs. company

Step 3: Identify Priorities

Priority Matrix:

ScoreImpactPriority
LowHighP1 - Critical
LowMediumP2 - Important
LowLowP3 - Monitor
HighAnyMaintain

Step 4: Design Interventions

Intervention Types:

LevelExamplesTimeline
Quick WinsRecognition, communication0-30 days
Process ChangesMeeting structure, feedback30-90 days
Structural ChangesRole design, team structure90+ days
Culture ShiftsValues, behaviors6+ months

Step 5: Create Action Plan

Plan Components:

  1. Priority area
  2. Root cause hypothesis
  3. Proposed intervention
  4. Success metrics
  5. Owner and timeline

Examples

Example 1: Full Engagement Analysis

Input:

Analyze these engagement survey results:

Company Overall: 72 (was 68)
Participation: 85%

By Dimension (favorability %):
- Purpose: 82%
- Development: 58%
- Manager: 71%
- Team: 76%
- Wellbeing: 54%
- Recognition: 65%

Engineering Dept: 64 overall
- Development: 45%
- Wellbeing: 42%

Sales Dept: 78 overall
- Recognition: 52%

Output:

## Employee Engagement Analysis

### Executive Summary

**Overall Health:** Improving (+4 points to 72)
**Key Wins:** Purpose (82%), Team (76%)
**Critical Areas:** Wellbeing (54%), Development (58%)
**Hot Spots:** Engineering (64 overall), Sales Recognition (52%)

---

### Overall Results

| Metric | Score | vs. Last | vs. Benchmark |
|--------|-------|----------|---------------|
| Overall Score | 72 | +4 | +2 |
| Participation | 85% | +3% | +10% |
| eNPS | +18 | +6 | +8 |

**Interpretation:** Solid improvement across the board. High participation
indicates employees feel their voice matters.

---

### Dimension Analysis

| Dimension | Score | Trend | Priority |
|-----------|-------|-------|----------|
| Purpose | 82% | → | Maintain |
| Team | 76% | ↑ | Maintain |
| Manager | 71% | ↑ | Improve |
| Recognition | 65% | → | Improve |
| Development | 58% | ↓ | Critical |
| Wellbeing | 54% | ↓ | Critical |

---

### Priority Matrix

                HIGH IMPACT
                     │
┌────────────────────┼────────────────────┐
│   P1: CRITICAL     │   MAINTAIN         │
│   • Wellbeing      │   • Purpose        │
│   • Development    │   • Team           │

LOW ├────────────────────┼────────────────────┤ HIGH SCORE│ P2: IMPORTANT │ LEVERAGE │ │ • Recognition │ │ │ • Manager │ │ └────────────────────┴────────────────────┘ LOW IMPACT


---

### Department Deep Dive

#### Engineering (64 Overall) - NEEDS ATTENTION

| Dimension | Engineering | Company | Gap |
|-----------|-------------|---------|-----|
| Development | 45% | 58% | -13 |
| Wellbeing | 42% | 54% | -12 |

**Root Cause Hypotheses:**
1. Technical debt creating burnout
2. Limited career progression paths
3. On-call burden distributed unevenly

**Recommended Actions:**
| Action | Owner | Timeline |
|--------|-------|----------|
| Engineering career ladder review | VP Eng + HR | 90 days |
| On-call rotation audit | Eng Managers | 30 days |
| 20% learning time policy | VP Eng | 60 days |

---

### Company-Wide Action Plan

#### P1: Wellbeing Initiative (54%)

**Target:** Increase to 65% by next survey

**Actions:**
| Action | Owner | Timeline |
|--------|-------|----------|
| "No Meeting Fridays" pilot | Leadership | 30 days |
| Workload survey by department | HRBP | 30 days |
| Manager training: sustainable teams | L&D | 90 days |

---

#### P1: Development Initiative (58%)

**Target:** Increase to 70% by next survey

**Actions:**
| Action | Owner | Timeline |
|--------|-------|----------|
| Learning stipend communication | HR | 30 days |
| Career pathing by function | HR + Leaders | 90 days |
| Mentorship program launch | L&D | 90 days |

---

### Success Metrics

| Area | Current | 6-Month Target | Owner |
|------|---------|----------------|-------|
| Overall Score | 72 | 76 | CHRO |
| Wellbeing | 54% | 65% | HR |
| Development | 58% | 70% | L&D |
| Engineering Overall | 64 | 72 | VP Eng |

Example 2: Quick Pulse Analysis

Input:

Analyze this pulse survey (3 questions):
1. "I would recommend this company" - 62% favorable (down 8%)
2. "I have what I need to do my job" - 71% favorable (up 3%)
3. "I feel valued" - 48% favorable (down 12%)

Output:

## Pulse Survey Quick Analysis

### Summary

| Metric | Current | Change | Status |
|--------|---------|--------|--------|
| eNPS Indicator | 62% | ↓ 8% | WARNING |
| Enablement | 71% | ↑ 3% | GOOD |
| Recognition | 48% | ↓ 12% | CRITICAL |

---

### Key Finding

**Recognition is in crisis** - 12-point drop is a red flag.
This is likely driving the eNPS decline.

---

### Immediate Actions

| Priority | Action | Owner | Timeline |
|----------|--------|-------|----------|
| 1 | Leadership acknowledgment | CEO | This week |
| 2 | Manager recognition training | HR | 2 weeks |
| 3 | Focus groups on "valued" | HRBP | 2 weeks |

Skill Boundaries

What This Skill Does Well

  • Analyzing survey patterns
  • Prioritizing action areas
  • Designing interventions
  • Creating action plans

What This Skill Cannot Do

  • Access actual survey data
  • Know company-specific context
  • Replace qualitative research
  • Guarantee improvement

Iteration Guide

Follow-up Prompts:

  • "Create focus group questions for [area]"
  • "Design intervention for [specific issue]"
  • "How do we communicate results to [audience]?"
  • "What metrics should we track for [initiative]?"

References

  • Gallup Q12 Engagement Framework
  • Qualtrics Employee Experience
  • Culture Amp Engagement Drivers
  • Glint People Science

Related Skills

  • employee-support - Ongoing support
  • onboarding-guide - Initial engagement
  • churn-prediction - Turnover risk

Skill Metadata

  • Domain: HR Operations
  • Complexity: Intermediate-Advanced
  • Mode: centaur
  • Time to Value: 2-4 hours per analysis
  • Prerequisites: Survey data, company context

Repositorio GitHub

guia-matthieu/clawfu-skills
Ruta: skills/hr-ops/engagement-analyzer
0
ai-skillsanthropicclaude-codeclaude-skillsmarketingmcp-server

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