Checklist auto-resolves from real product events
Mark onboarding steps complete from actual user behavior instead of making customers click a fake checkbox after they already did the work.
Why this can grow a startup
Manual checklists become theater when the product already knows what the user completed. Auto-resolve keeps the checklist honest. It reduces duplicate effort, makes progress feel earned, and gives the team better completion data because the step is tied to a real event or attribute instead of a courtesy click.
Source-backed example
Intercom checklists can auto-resolve steps from product events, user attributes, event attributes, and Product Tour engagement.
Source-reported evidence
Source: Intercom Help: Checklists explained
Intercom supports auto-resolve rules from product events, attributes, and tour engagement at the step level.
Attributed to the cited source; GrowthDex has not independently verified it. Use this as context, not as a forecast, benchmark, or recommended target.
Evidence scope: claims and metrics are attributed to the linked source; GrowthDex has not independently replicated the reported result. Check the original context and validate fit before applying it. Read the evidence methodology.
Source discovered: May 29, 2026
When to use it
Use this when Onboarding, Product, Lifecycle is relevant to activation, lifecycle, product education and you can run a bounded test with a medium budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
How to do it
- Choose one target segment and define the exact next action this tactic should prompt.
- Adapt the tactic to Onboarding and Product, using evidence from Intercom Help: Checklists explained as context—not as a promised result.
- Record a baseline for: Share of target users completing the product's first-value action. Set a guardrail that would make you pause the test.
- Run a narrow pilot and choose a test window that fits the normal decision or use cycle; do not scale before you have observed the full cycle.
- Compare the signal with its baseline. Scale only if the intended action improves without crossing the guardrail; otherwise revise one variable or stop and record what you learned.
Compare a stack for your situation
Compare source-backed tactics against your product, stage, budget and channel strengths, then choose one experiment to test.
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