Receber por email
← Voltar para o catálogo

cs-health-scorecard

Crie um scorecard de saúde do cliente para uma conta específica, útil para pontuar a saúde da conta, avaliar o risco de renovação ou a probabilidade de renovação/expansão. Ele produz um scorecard de saúde estruturado com status RAG, pontuações de dimensão, riscos chave e ações recomendadas.

991estrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add mohitagw15856/pm-claude-skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/cs-health-scorecard/svg)](https://www.skillteca.com.br/skills/cs-health-scorecard)
#ai

Alerta por categoria

Receba novas skills de Design e Frontend toda segunda

1 email curto, só com as skills novas de Design e Frontend. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

Customer Health Scorecard Skill

Produce a structured, data-driven health scorecard for a customer account — giving the CSM and leadership a clear view of renewal risk, expansion potential, and the actions needed to move the account in the right direction.

Required Inputs

Ask for these if not already provided:

  • Account name and tier (enterprise / mid-market / SMB)
  • Contract value (ARR) and renewal date
  • Product usage data — logins, DAU/MAU ratio, key feature adoption
  • Support data — open tickets, CSAT or NPS score, recent escalations
  • Engagement data — last QBR date, executive sponsor status, champion name
  • Commercial data — payment history, expansion conversations, seats used vs. licensed
  • Any known risks or recent changes at the account

Scoring Framework

Score each dimension 1–5. Weight as shown. Calculate weighted total out of 100.

| Dimension | Weight | What to Score | |---|---|---| | Product Adoption | 30% | DAU/MAU ratio, breadth of features used, power users identified | | Engagement | 20% | QBR cadence, executive sponsor active, champion strength | | Outcomes | 20% | Customer hitting their stated goals / success metrics | | Support Health | 15% | Ticket volume trend, unresolved escalations, CSAT | | Commercial | 15% | On-time payments, seats utilised, expansion signals |

Score → RAG conversion:

  • 80–100: Green (healthy, renew likely)
  • 60–79: Amber (at risk, needs attention)
  • 0–59: Red (high churn risk, escalate)

Output Format

Customer Health Scorecard: [Account Name]

CSM: [Name] | Tier: [Enterprise / Mid-Market / SMB] ARR: £/$/€[X] | Renewal date: [Date] | Days to renewal: [N] Overall health: [Green / Amber / Red] — [Score]/100 Last updated: [Date]

Health Score Summary

| Dimension | Score (1–5) | Weight | Weighted Score | Trend | |---|---|---|---|---| | Product Adoption | [1–5] | 30% | [X] | ↑ / → / ↓ | | Engagement | [1–5] | 20% | [X] | ↑ / → / ↓ | | Outcomes | [1–5] | 20% | [X] | ↑ / → / ↓ | | Support Health | [1–5] | 15% | [X] | ↑ / → / ↓ | | Commercial | [1–5] | 15% | [X] | ↑ / → / ↓ | | Total | — | 100% | [X]/100 | |

Dimension Detail

Product Adoption — [Score]/5

  • DAU/MAU ratio: [X]% (benchmark: >25% = healthy)
  • Key features adopted: [List features in use]
  • Features not adopted: [List unused high-value features]
  • Power users identified: [Yes / No — how many]
  • Assessment: [1–2 sentences on adoption health]

Engagement — [Score]/5

  • Last QBR: [Date] — [Outcome summary]
  • Next QBR: [Scheduled / Overdue]
  • Executive sponsor: [Active / Passive / Vacant]
  • Champion: [Name, role, strength: strong / moderate / weak]
  • Assessment: [1–2 sentences]

Outcomes — [Score]/5

  • Customer's stated goals: [List 2–3 goals from onboarding or last QBR]
  • Progress against goals: [On track / Partial / Off track]
  • Evidence of value: [Metric or quote that demonstrates ROI]
  • Assessment: [1–2 sentences]

Support Health — [Score]/5

  • Open tickets: [N] (priority breakdown: P1: X, P2: X, P3: X)
  • CSAT / NPS: [Score] (benchmark: >8 CSAT / >30 NPS = healthy)
  • Unresolved escalations: [Yes / No — details if yes]
  • Ticket trend (last 90 days): Increasing / Stable / Decreasing
  • Assessment: [1–2 sentences]

Commercial — [Score]/5

  • Seats licensed: [N] | Seats active: [N] ([X]% utilisation)
  • Payment history: [On time / Late — details]
  • Expansion signals: [Yes — describe / No]
  • Downgrade or cancellation signals: [Yes — describe / No]
  • Assessment: [1–2 sentences]

Top Risks

| Risk | Severity | Mitigation | |---|---|---| | [Risk description] | High / Medium / Low | [Specific action to mitigate] |

Recommended Actions

Immediate (this week):

  1. [Action — owner — deadline]

This month:

  1. [Action — owner — deadline]

Before renewal:

  1. [Action — owner — deadline]

Renewal Forecast

| Scenario | Probability | ARR at risk | |---|---|---| | Full renewal at current ARR | [X]% | £/$/€0 | | Renewal with contraction | [X]% | £/$/€[X] | | Churn | [X]% | £/$/€[full ARR] |

Recommended renewal play: [Expand / Hold / Save / Manage out]

Quality Checks

  • [ ] Score is based on data, not gut feel — each dimension has evidence
  • [ ] Risks are specific (not "low engagement" — something like "executive sponsor left in March, no replacement identified")
  • [ ] Actions have owners and deadlines
  • [ ] Renewal probability is calibrated against pipeline reality
  • [ ] Trend arrows reflect direction of change vs. last scorecard, not just current state
Compartilhar X LinkedIn