Notes from a team obsessed with the gap between signup and aha moment.
Most nudge frameworks treat timing as a variable to optimize. We think it is closer to the whole problem. When a user is stuck at step 3 for 36 hours, a checklist reminder lands differently than one sent at hour 2. Here is how we think about trigger windows and why "send on risk score" beats "send on day X."
How Onboardvue maps the activation journey for a PLG SaaS product: which events count as milestones, where cohort dropoff typically happens first, and how the system detects that a user has reached time-to-first-value.
Your onboarding flow and your feature adoption data should be the same thing. Here's why they're usually not, and how to close the gap.
Linear funnel thinking kills PLG products. Users don't move in a straight line from signup to activation, and your model needs to reflect that.
Most personalization advice assumes you have a full-stack team. This post is for the PM who needs to ship segmented onboarding by Thursday.
What behavioral features actually predict month-2 churn in self-serve SaaS: recency of last meaningful event, depth of feature engagement in week one, and whether the user ever reached their product-specific aha moment. How we weighted them and what the model gets wrong.
Job-to-be-done segmentation is the most underused activation lever in PLG. Here's a practical guide to implementing it without a survey pop-up.
If you measure one thing in your activation funnel, make it time-to-value. We looked at 6 months of data to understand why it's the strongest churn predictor we have.
The aha moment isn't a happy accident, it's an engineering problem. This post covers the design patterns that reliably produce first-value experiences.
Activation rate benchmarks from our 2024 beta cohort: what a 25% activation rate actually means for a B2B SaaS at 1,000 MAU versus 10,000 MAU, and which metric to watch when your funnel data does not match your intuition.
Checklists are the default onboarding pattern. Most of them fail. Here are the three structural mistakes that kill checklist completion rates.
The behavioral patterns that predict month-2 cancellation are almost always visible in the first two weeks. Here's what to watch for.
The word "activated" means different things to every product team. This post argues for a specific, measurable definition and why it matters for churn.