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HR17·Engagement Survey

Engagement Survey Insights & Actions

Frame engagement context, compare survey signals across teams, and produce a prioritized improvement plan with risk flags.

Before you start

What you’ll need

  • Access to completed engagement survey results with team-level breakdowns
  • Exit Theme Summary from HR15 Offboarding & Exit Interview Capture workflow
  • Engagement Survey Results
  • Organisational Benchmark Data

Who’s involved

  • HR AnalystLeads the engagement survey analysis, coordinates cross-referencing with exit data, and drafts improvement recommendations.
  • HR DirectorApproves the final improvement plan and engagement risk flags before downstream handoff.
  • ManagerReviews team-specific signals and owns local improvement actions assigned in the plan.

Safe use

  • Data HandlingThis workflow processes engagement survey responses (team scores, free-text comments, response rates) and exit interview themes. Do not paste these inputs into public or unapproved GenAI tools.
  • VerificationGenAI may fabricate engagement patterns or misattribute survey signals to wrong dimensions. Verify every identified signal traces to specific survey data points before sharing recommendations.

Execution steps

Hybrid

Inputs

  • Confirm engagement survey results include team-level breakdowns and response rates
  • Verify the Exit Theme Summary from HR15 is finalised and approved
  • Confirm organisational benchmark data is current and covers relevant dimensions

Prompt

Frame key engagement dimensions from survey data

CONTEXT
You will be provided with the following source documents:
1. Engagement Survey Results
2. Exit Theme Summary
3. Organisational Benchmark Data

TASK
Analyse the engagement survey results and produce an Engagement Problem Frame. Identify the key engagement dimensions, highlight the most significant positive and negative signals, and surface areas where scores diverge most from benchmarks or prior periods.

OUTPUT FORMAT
Use the following markdown structure:

## Engagement Problem Frame

### Survey Overview
- **Response rate:** [percentage]
- **Survey period:** [date range]
- **Teams covered:** [count]

### Key Engagement Dimensions
| # | Dimension | Current Score | Benchmark or Prior Score | Variance | Signal |
|---|-----------|--------------|------------------------|----------|--------|
| 1 | [dimension] | [score] | [benchmark] | [+/-] | [Strong / Moderate / Weak] |

### Priority Problem Areas
For each area where scores are notably below benchmark or declining:
- **Area:** [name]
- **Evidence:** [specific data points]
- **Scope:** [which teams or populations affected]

### Positive Signals
- [List dimensions or teams where engagement is strong, with supporting data]

CONSTRAINTS
Do not infer engagement problems not supported by the survey data. Do not reference specific organisations, employee names, or proprietary scoring systems. Only flag variances that are meaningful relative to the benchmark or prior period.

Outputs

  • Engagement Problem Frame

Verification: Verify the AI-identified dimensions and variances match the actual survey data — reject fabricated scores or dimensions not in the source.

GenAI

Inputs

  • Confirm the Engagement Problem Frame has been reviewed and priority areas are accurate

Prompt

Compare engagement signals across teams and themes

CONTEXT
You will be provided with the Engagement Problem Frame (key dimensions, scores, and priority problem areas) and the Engagement Survey Results with team-level breakdowns.

TASK
Compare engagement signals across teams and themes to identify where patterns cluster, diverge, or intensify. Produce a Cross-Team Comparison Matrix that highlights which teams share common engagement challenges and which face unique issues.

OUTPUT FORMAT
Use the following markdown structure:

## Cross-Team Comparison Matrix

### Team-by-Dimension Heatmap
| Team | [Dimension 1] | [Dimension 2] | [Dimension 3] | Overall |
|------|--------------|--------------|--------------|--------|
| [Team A] | [High / Medium / Low] | ... | ... | [score] |

### Clustered Patterns
For each pattern appearing across multiple teams:
- **Pattern:** [description]
- **Affected Teams:** [list]
- **Strength:** [Strong / Moderate / Emerging]

### Unique Team Issues
For any team with a signal that does not appear elsewhere:
- **Team:** [identifier]
- **Issue:** [description]
- **Evidence:** [data points]

CONSTRAINTS
Do not rank teams or create league tables that could be used punitively. Do not speculate on causes — report the data patterns only. Do not include individual employee responses or identifiable free-text comments.

Outputs

  • Cross-Team Comparison Matrix

Verification: Verify team-level patterns reflect actual survey breakdowns — reject any clustered pattern not supported by at least two data points per team.

Hybrid

Inputs

  • Confirm the Cross-Team Comparison Matrix has been reviewed for accuracy
  • Verify the Exit Theme Summary contains validated themes with sentiment classifications

Prompt

Cross-reference engagement patterns with exit themes

CONTEXT
You will be provided with the Cross-Team Comparison Matrix (engagement patterns across teams) and the Exit Theme Summary from HR15 (validated exit interview themes with sentiment and categories).

TASK
Cross-reference the engagement survey patterns with the exit interview themes to identify where both data sources confirm the same underlying issue. Flag convergent signals where engagement dips align with exit reasons, and note divergent signals where one source contradicts the other. Produce a Validated Signal Map.

OUTPUT FORMAT
Use the following markdown structure:

## Validated Signal Map

### Convergent Signals
| # | Engagement Pattern | Exit Theme | Alignment Strength | Implication |
|---|-------------------|------------|-------------------|-------------|
| 1 | [pattern from survey] | [theme from exits] | [Strong / Moderate] | [one sentence] |

### Divergent Signals
| # | Source | Signal | Contradiction | Notes |
|---|--------|--------|---------------|-------|
| 1 | [Survey / Exit] | [signal] | [what contradicts it] | [context] |

### Signal Priority Ranking
Rank the top signals by combined evidence weight:
1. [Signal] — supported by [survey evidence] and [exit evidence]

CONSTRAINTS
Do not fabricate alignment between unrelated survey dimensions and exit themes. Only flag convergence where both data sources reference the same underlying issue. Do not assign causation — note correlation only.

Outputs

  • Confirm every convergent signal is supported by specific data from both the survey and exit themes
  • Verify no divergent signals were omitted or incorrectly classified
GenAI

Inputs

  • Confirm the Validated Signal Map has been reviewed and approved by the HR Analyst

Prompt

Generate prioritised improvement actions from validated signals

CONTEXT
You will be provided with the Validated Signal Map (convergent and divergent engagement signals cross-referenced with exit themes) and Organisational Benchmark Data (industry or historical engagement benchmarks).

TASK
For each high-priority signal in the Validated Signal Map, generate one to three targeted improvement actions. Prioritise actions by expected impact and feasibility. Produce a Prioritised Improvement Plan that your organisation's HR team can execute.

OUTPUT FORMAT
Use the following markdown structure:

## Prioritised Improvement Plan

### Recommended Actions
| # | Signal Addressed | Action | Owner Type | Priority | Timeframe | Expected Impact |
|---|-----------------|--------|-----------|----------|-----------|----------------|
| 1 | [signal] | [specific action] | [HR / Manager / Leadership] | [High / Medium / Low] | [Immediate / Short-term / Long-term] | [one sentence] |

### Implementation Notes
For each high-priority action:
- **Action:** [name]
- **Rationale:** [why this addresses the signal]
- **Success Measure:** [how to know it worked]
- **Dependencies:** [what must be in place first]

### Actions Not Recommended
List signals where no action is warranted, with rationale for exclusion.

CONSTRAINTS
Do not recommend actions that cannot be tracked or measured. Do not propose organisation-wide initiatives for signals affecting only one team. Do not reference specific tools, vendors, or proprietary programmes. Every recommendation must link directly to a validated signal.

Outputs

  • Prioritised Improvement Plan

Verification: Verify every recommended action links to a specific validated signal and includes a measurable success criterion — reject vague actions.

Hybrid

Inputs

  • Prioritised Improvement Plan
  • Validated Signal Map
  • Confirm the Prioritised Improvement Plan has been reviewed and approved by the HR Director

Prompt

Distil engagement risk flags for downstream use

CONTEXT
You will be provided with the Prioritised Improvement Plan (recommended actions with owners and timeframes) and the Validated Signal Map (convergent engagement and exit signals ranked by priority).

TASK
Distil the highest-risk engagement signals into an Engagement Risk Flags document formatted for downstream use by employee relations and governance workflows. Each flag must name the risk, cite the supporting evidence, state the recommended response, and assign an urgency level.

OUTPUT FORMAT
Use the following markdown structure:

## Engagement Risk Flags

### Risk Flag Summary
| # | Risk Flag | Urgency | Affected Scope | Evidence Sources | Recommended Response |
|---|-----------|---------|---------------|-----------------|---------------------|
| 1 | [risk label] | [Critical / High / Medium] | [team or population] | [survey and exit data references] | [one sentence action] |

### Detailed Risk Narratives
For each critical or high-urgency flag:
- **Flag:** [label]
- **Evidence:** [specific data points from survey and exit themes]
- **Current Trajectory:** [Improving / Stable / Declining]
- **Recommended Owner:** [HR / Manager / Leadership]
- **Escalation Trigger:** [condition that would raise urgency]

CONSTRAINTS
Do not flag risks without evidence from at least one validated source. Do not include low-severity signals that do not warrant downstream attention. Do not reference specific employees, managers, or organisation names.

Outputs

  • Confirm every risk flag cites specific evidence from the survey or exit themes
  • Verify urgency levels are proportional to the supporting evidence
  • Confirm the Engagement Risk Flags document is formatted for HR09 downstream consumption

Verification: Verify each risk flag traces to validated evidence and that no critical signals from the Validated Signal Map were omitted.

Reference

Guardrails

  • Data-Backed Signals OnlyEvery engagement signal must trace to specific survey data points or exit theme evidence — reject any pattern the AI infers without direct support.
  • Anonymised Team ReferencesUse team codes or generic labels in GenAI prompts instead of manager or team member names to prevent bias or confidentiality breaches.
  • Proportional RecommendationsRecommended actions must match the severity and frequency of the underlying signals — do not escalate localised issues into organisation-wide initiatives.

Pitfalls

  • Pasting raw survey data containing individual employee identifiers or free-text comments with names into the GenAI prompt.
  • Accepting AI-generated theme clusters without verifying each maps to specific survey questions and response patterns.
  • Treating engagement scores in isolation without cross-referencing exit theme data for validation.
  • Generating improvement actions that are too broad to assign or track, such as 'improve engagement across the board.'

Definition of Done

  • The Engagement Problem Frame identifies at least three distinct engagement themes with supporting data points from the survey results.
  • The Cross-Team Comparison Matrix covers all teams in the survey data and flags statistically meaningful variations.
  • The Validated Signal Map cross-references at least two engagement signals with corresponding exit themes from HR15.
  • The Engagement Risk Flags document contains prioritised flags with named owners and urgency levels ready for HR09 downstream use.

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AGASI AiOS · HR17 v1.0 · Apr 7, 2026