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Get Started Free →Design an employee engagement survey and analyse results. Use when asked to create an employee survey, engagement questionnaire, pulse survey, or eNPS survey. Also use when asked to analyse survey results. Produces a complete survey with questions, rating scales, and an analysis framework.
.claude/skills/mohitagw15856-employee-engagement-survey/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 22% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 27% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 39% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 76% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 127% | 0% |
Designs complete employee engagement surveys and provides a framework for analysing and acting on results.
Ask the user for these if not provided:
"This survey is anonymous. Your responses help us understand what is working and what to improve. Results will be shared with who] and we will communicate actions taken by date]."
Overall Engagement
Role and Clarity
Manager and Team
Culture and Belonging
Growth and Recognition
Open questions (always include)
1. Headline Scores | Metric | Score | Benchmark | Trend | |---|---|---|---| | eNPS | -100 to +100] | Industry avg | vs last survey |
eNPS: Below 0 = Concerning / 0-30 = Good / 30-70 = Great / 70+ = Excellent
2. Strengths — Top scoring areas with evidence.
3. Improvement Areas — 3 lowest scoring areas with verbatim comment themes.
4. Action Planning Template | Improvement area | Action | Owner | Timeline | Measure | |---|---|---|---|---|
5. Communication Template — Draft message to share results with employees.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 20,926 | 18,242 | -13% | 1 | 1 | 0% | 3,688 | 4,500 | +22% | 0 | 0 | — |
case-02 | fail→pass | 23,418 | 22,608 | -3% | 1 | 1 | 0% | 3,951 | 5,012 | +27% | 0 | 0 | — |
case-03 | fail→pass | 15,307 | 12,850 | -16% | 1 | 1 | 0% | 2,567 | 3,570 | +39% | 0 | 0 | — |
case-04 | pass→pass | 14,422 | 13,540 | -6% | 1 | 1 | 0% | 2,338 | 3,387 | +45% | 0 | 0 | — |
case-05 | pass→pass | 17,258 | 14,503 | -16% | 1 | 1 | 0% | 2,779 | 3,576 | +29% | 0 | 0 | — |
case-11 | fail→pass | 10,295 | 10,241 | -1% | 1 | 1 | 0% | 1,670 | 2,947 | +76% | 0 | 0 | — |
case-06 | pass→pass | 17,088 | 16,929 | -1% | 1 | 1 | 0% | 2,875 | 3,980 | +38% | 0 | 0 | — |
case-07 | fail→pass | 12,149 | 18,693 | +54% | 1 | 1 | 0% | 1,917 | 4,352 | +127% | 0 | 0 | — |
case-08 | fail→pass | 18,100 | 12,733 | -30% | 1 | 1 | 0% | 3,218 | 3,376 | +5% | 0 | 0 | — |
case-09 | pass→pass | 17,023 | 15,010 | -12% | 1 | 1 | 0% | 2,570 | 3,544 | +38% | 0 | 0 | — |
case-10 | fail→pass | 6,542 | 12,180 | +86% | 1 | 1 | 0% | 1,062 | 3,455 | +225% | 0 | 0 | — |
case-12 | pass→pass | 15,010 | 12,137 | -19% | 1 | 1 | 0% | 2,304 | 3,141 | +36% | 0 | 0 | — |
case-13 | fail→pass | 12,420 | 18,255 | +47% | 1 | 1 | 0% | 2,165 | 4,260 | +97% | 0 | 0 | — |
case-14 | pass→pass | 10,741 | 4,686 | -56% | 1 | 1 | 0% | 1,698 | 2,129 | +25% | 0 | 0 | — |
case-15 | pass→pass | 13,193 | 11,700 | -11% | 1 | 1 | 0% | 2,252 | 3,271 | +45% | 0 | 0 | — |
case-16 | fail→pass | 15,354 | 14,892 | -3% | 1 | 1 | 0% | 2,501 | 3,840 | +54% | 0 | 0 | — |
case-17 | pass→pass | 13,292 | 12,080 | -9% | 1 | 1 | 0% | 2,122 | 3,250 | +53% | 0 | 0 | — |
case-18 | fail→pass | 20,051 | 24,315 | +21% | 1 | 1 | 0% | 3,419 | 5,354 | +57% | 0 | 0 | — |
case-19 | fail→pass | 14,061 | 10,541 | -25% | 1 | 1 | 0% | 2,199 | 2,945 | +34% | 0 | 0 | — |
case-20 | pass→pass | 15,666 | 13,002 | -17% | 1 | 1 | 0% | 2,566 | 3,563 | +39% | 0 | 0 | — |
case-21 | fail→pass | 15,964 | 20,232 | +27% | 1 | 1 | 0% | 2,592 | 4,631 | +79% | 0 | 0 | — |
case-22 | fail→pass | 12,174 | 18,975 | +56% | 1 | 1 | 0% | 2,119 | 4,443 | +110% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +59 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.