Customer health is easy to oversimplify. Product usage can look strong while a critical issue remains unresolved. A quiet champion may signal risk, or they may simply be busy. A score is only useful when the team agrees on what it means and can inspect the evidence behind it.
Strawberry can bring goals, product use, support history, meetings, account records, communication, and open commitments into one review. Your companion can show where the signals agree, where they conflict, and what is missing instead of turning incomplete data into a confident churn label.
Define health from the customer outcome
Start with the account, lifecycle stage, goals, success measures, stakeholders, review period, and next decision. Use the team's agreed health model when one exists. Keep company-wide signals separate from promises and conditions that apply only to this account.
Ask your Strawberry companion: “Review this customer account against its accepted goals and health definitions, reconcile the current signals, and show the risks, opportunities, evidence gaps, and next actions.”
Review customer health
Review whether the customer is reaching value, what has changed, and what deserves attention.
Build the view from several kinds of evidence
| Signal | What to examine |
|---|---|
| Outcome progress | The customer's stated goals, success measures, and evidence of value. |
| Adoption | Meaningful product use and the workflows or users that matter, not activity volume alone. |
| Experience | Support impact, onboarding progress, unresolved issues, and delivery commitments. |
| Relationships | Champion strength, stakeholder engagement, decision-makers, and relationship gaps. |
| Commercial context | Renewal, expansion, contraction, or billing context that the team is allowed to use and that changes the next decision. |
Keep source dates, definitions, and coverage visible. A stale usage report or incomplete support history should weaken the conclusion rather than disappear inside the score.
Reconcile the signals
Compare the signals instead of averaging them into false precision. Separate observed facts, customer statements, team judgment, AI inference, stale data, and unknowns. If the team uses a score, apply its agreed definitions and show the support for each component rather than inventing weights.
- What outcome has the customer achieved, and what remains unproven?
- Which material signal changed since the last agreed review?
- Where do usage, relationship, support, and commitment signals disagree?
- What action or conversation could most improve the customer's outcome now?
Turn the review into the next right action
Lead with outcome progress, material changes, supported strengths and risks, open commitments, missing information, and a prioritized next-action plan. If the next step is a QBR, EBR, check-in, renewal, or escalation conversation, carry the current account picture into meeting preparation.
Save the health-review method as a team skill when account owners should use the same sources, definitions, and review shape. Once it is trusted, a Routine can prepare the next view and stop when the goals, model, coverage, audience, or sensitive context changes.