Template

Onboarding Review Template

Run an onboarding review with a copyable agenda for cohort metrics, customer evidence, decisions, and follow-up, including a worked account-level example.

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Template

Practical context for Onboarding Review Template

Use this onboarding review template to decide what your team needs to investigate or change before the next review. Bring three inputs: a clearly defined cohort, counts for its first useful outcome, and specific customer evidence about obstacles. A chart and a list of suggestions become useful together when they answer a concrete decision question.

Copy the sections into a meeting note and fill in the facts before the discussion. Adapt the cadence to the time customers need to complete the journey. A weekly meeting can review older, fully observed cohorts while marking newer cohorts as incomplete.

Record scope and measurement definitions

Write the customer outcome in plain language before naming its tracked event. Decide whether success belongs to a user or an account. If several people collaborate on setup, an account-level milestone may answer a different question from an individual's first action; show the unit beside every count.

Record the observation window and the data cut-off so reviewers know whether each cohort had equal time to finish. Include any tracking issue or change in eligibility. A rate without these definitions can look precise while describing a different journey from last week's review.

  • +Review date: [date]. Decision owner: [person]. Question: [decision needed].
  • +Cohort: [entry dates, audience, eligibility, and counting unit].
  • +Start: [event]. Useful outcome: [behavior and completion event].
  • +Window: [time allowed after entry]. Data cut-off: [timestamp].
  • +Eligible starts: [count]. Completed within window: [count]. Rate: [completed / starts × 100, or unavailable].
  • +Data limitations: [missing events, exclusions, or incomplete observation].

Add customer evidence and a decision

Choose findings relevant to the measured journey. For each, state what is known and what remains a hypothesis. Include evidence that challenges the leading explanation, such as customers who completed the same step without the proposed help. Keep urgent individual support cases assigned through your support process.

The review can end with an investigation, a product change, a documentation improvement, or no action. Write the reason and the evidence needed for the next decision. Use a task-based acceptance check and a metric guardrail, such as accurate imports or support burden, rather than judging success only by faster completion.

  • +Finding: [blocked task]. Evidence: [references and distinct observed accounts].
  • +Alternative explanation: [other plausible cause or missing context].
  • +Decision: [investigate, change, defer, or monitor] because [reason].
  • +Owner and due date: [person and date]. Check: [observable success condition].
  • +Next review: [date, cohort to inspect, and customer follow-up needed].

Worked review: first report creation

Fictional review: 80 new accounts started report setup and all had a full seven-day observation window. Forty-eight produced a valid report, giving 60% completion. Four interviewed administrators describe uncertainty about source permissions. These interviews suggest a permissions investigation; they do not explain every one of the 32 accounts without a recorded report.

Decision: the product owner will inspect permission instructions and observe a new setup attempt with the relevant roles. The check is whether the administrator identifies the prerequisite and completes the handoff without staff intervention. At the next review, the team will examine the new evidence before committing to a redesigned setup flow.

  • +Measured fact: 48 of 80 accounts completed within the defined window.
  • +Qualitative lead: permission uncertainty in four interviews.
  • +Open question: whether missing access or unclear instructions blocked each attempt.
  • +Follow-up: document the handoff outcome and decide whether a product change is warranted.
Related resources

Keep exploring this topic

These next reads help you move from the concept on this page to a framework, tool, template, or deeper comparison you can apply right away.

FAQ

Questions teams usually ask

Who should attend an onboarding review?

Include someone who can make the product decision and the people who understand the analytics and customer evidence. Invite engineering when the next question depends on implementation behavior.

Does a higher completion rate prove the change worked?

No. Audience, timing, tracking, and other releases can change the rate. Record those differences and use an appropriate experiment when you need to estimate a causal effect.

Can Feedbackly supply the metrics in this template?

Fill the cohort and completion fields from your analytics system. Feedbackly can hold relevant product requests and discussion, which you can reference in the review note.

Put the ideas into practice

Bring customer requests into the review

Collect onboarding suggestions in Feedbackly and use the relevant requests as evidence when your team reviews progress and decides what to investigate.