Where does risk show up first?
Find the early signs in onboarding, adoption, service activity, account behavior, and feedback. Before the renewal’s in danger, not after.
Diagnostic 02
See customer risk before it’s too late to act.
Most unhappy customers won’t tell you. They just go quiet, then leave. This review finds the early warning signs across onboarding, adoption, account health, feedback, and renewal, so you know which signals matter, who should act, and what has to change while there’s still time.
Questions answered
Turn late surprises into earlier action.
I start with the decisions your team needs to make. Then I test whether your signals and workflows let someone act in time, and own it.
Questions this diagnostic answersView questions
Which signals matter enough to act on?
Separate a real change in behavior from normal noise, missing data, and activity that looks busy but tells you nothing.
Who should respond, and when?
Set who owns it, what triggers a response, where it escalates, and what context each team needs while there’s still time to act.
How will you know the response worked?
Name the business value up front (retention, expansion, or cost to serve). Then tie every response back to it, so you can prove it helped.
Scope and evidence
See how risk is tracked and handled today.
What I look at depends on how your customer lifecycle works and what you can share. Then I compare the process on paper with what actually happens when a signal shows up.
Evidence we reviewView evidence
Lifecycle stages and expectations
How your team defines onboarding, adoption, customer value, renewal readiness, and other important stages in the relationship.
Customer and account signals
Product or service use, shifts in engagement, support patterns, feedback, and who’s left or joined on the customer side.
Handoffs and intervention paths
How customer context moves across sales, onboarding, success, service, operations, and leadership when teams need to act together.
Health measures and data quality
The inputs, assumptions, missing data, age, and real use of current health scores, dashboards, alerts, and account reviews.
Ownership and escalation rules
Who watches for risk, makes sense of unclear signals, contacts the customer, removes blockers, and makes cross-team decisions.
Outcomes and review cadence
How your team reviews its response, learns from preventable losses, and updates signals or rules as customer behavior changes.
Deliverables and decisions
Know what to watch, who acts, and what happens next.
You’ll get a working system for turning signals into action. Each deliverable makes it clear what to watch, who acts, how they respond, and what to improve next.
Lifecycle risk model
A shared definition of customer stages, risk conditions, and the points where earlier action can still change the outcome.
Supports the decisionWhere to watch for risk and which lifecycle stages need clearer attention.
Signal inventory and assessment
A review of available signals, the strength of their evidence, known gaps, age, ownership, and value for a specific decision.
Supports the decisionWhich signals you can act on today, which need work, and which you shouldn’t trust yet.
Intervention and ownership map
A practical view of triggers, owners, escalation paths, needed context, and the response expected when risk appears.
Supports the decisionWho acts, when they act, what they need to know, and where teams must work together.
Prioritized improvement plan
An ordered set of changes to lifecycle definitions, data, workflows, reviews, and measurement based on impact and dependencies.
Supports the decisionWhat to improve first, and what has to be ready before you add automation or predictive tools.
Engagement fit
Use this review when risk shows up too late.
I’ll need access to the teams, customer context, lifecycle data, and the decisions behind your response. And you’ll need to be open to changing how risk gets defined, owned, and reviewed.
Strong fit
This is likely a good fit when
- Onboarding slips, adoption falls, accounts go quiet, or renewal risk appears too late for an effective response.
- Customer context and risk signals are spread across teams, systems, or account reviews.
- A sponsor can bring customer-facing, operations, data, and commercial owners together.
- You’re willing to change lifecycle definitions, workflows, and who owns what.
Limited fit
Another path may work better when
- The goal is only to buy a predictive tool without changing how teams understand and respond to risk.
- You need an urgent recovery plan for one known account.
- The customer, account, workflow, or outcome evidence just isn’t available.
- Nobody accountable can change response rules, escalation paths, or how teams work together.