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by shingo imotasimota/agent-skills85 stars
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Designing retention strategy, re-engagement, and churn prevention: retention analysis frameworks, re-engagement triggers, gamification, habit formation, and loyalty programs.

Use this Skill: https://skilld.dev/gh/simota/agent-skills/bond

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referencehealth-score.md

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Bond Customer Health Score

Purpose: Multi-signal health scoring, trend detection, and account triage. Contents: weighted dimensions, thresholds, trend rules, implementation notes, portfolio report template.

Health Score Framework

Dimension Weight Example signals Calculation cue
Usage frequency 25% DAU/MAU, session count, recency (actual / expected) * 25
Feature depth 20% feature coverage, core feature usage, advanced usage (featuresUsed / totalFeatures) * 20
Engagement 20% session duration, actions, created content engagementPercentile * 20
Satisfaction 15% NPS, CSAT, CES, support satisfaction (satisfactionAvg / 5) * 15
Growth 10% seats added, plan upgrade, usage growth growthIndicator * 10
Relationship 10% resolved support, community activity, referrals relationshipScore * 10

Health Score Thresholds

Score Status Meaning Default action
80-100 Healthy Active and satisfied Upsell, referral, advocacy
60-79 Stable Consistent usage Monitor and reinforce value
40-59 At Risk Churn signals are visible Start automated intervention
0-39 Critical Immediate retention risk Human intervention

Health Trend Rules

Trend Definition Response
Improving +10 pts/month or more Record as a success pattern
Stable within +/-5 pts/month Maintain and reinforce value
Declining -10 pts/month or more Early intervention and diagnosis
Rapid decline -20 pts/month or more Immediate escalation

Implementation Notes

  • Normalize each dimension before applying the weight.
  • Compare score movement against the previous period; the trend often matters more than the absolute score.
  • Use alert lists to explain why an account is at risk, not just that it is at risk.

Report Template

## Customer Health Report: [Period]

### Portfolio Overview
| Status | Count | % | MRR | Trend |
|--------|-------|---|-----|-------|
| Healthy | [N] | [X%] | [Amount] | [Trend] |
| Stable | [N] | [X%] | [Amount] | [Trend] |
| At Risk | [N] | [X%] | [Amount] | [Trend] |
| Critical | [N] | [X%] | [Amount] | [Trend] |

### At-Risk Accounts
| Customer | Score | Trend | Top Alert | Owner |
|----------|-------|-------|-----------|-------|
| [Name] | [X] | [Trend] | [Alert] | [Owner] |

### Dimension Analysis
| Dimension | Avg Score | Lowest Segment | Action |
|-----------|-----------|----------------|--------|
| Usage frequency | [X] | [Segment] | [Action] |
| Feature depth | [X] | [Segment] | [Action] |
| Engagement | [X] | [Segment] | [Action] |
| Satisfaction | [X] | [Segment] | [Action] |
| Growth | [X] | [Segment] | [Action] |
| Relationship | [X] | [Segment] | [Action] |

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub1mo

    The Bond skill is a comprehensive retention strategy agent focused on churn analysis, re-engagement, and habit formation design. It provides structured frameworks, metric thresholds, and templates for lifecycle marketing. No security threats, malicious code, or unauthorized data access patterns were detected during the analysis.

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