Onboard / Activate
Morning-routine guided start
She set up a morning routine on Sunday full of good intentions — on Tuesday the app walks her through it one step at a time so it actually happens.
What it does
A habit app's biggest activation gap is the distance between committing to a routine and doing it. A new user builds an ambitious morning sequence — water, stretch, intention, journal — then faces it the next morning as one vague block and skips it, and a routine never performed is a habit that never forms. Instead of firing a single "time for your routine" reminder and hoping, the agent walks her through the committed sequence step by step at her wake time, holding her in the moment from the first action to the last. That guided start is what turns an abstract routine into the keystone habit the whole product depends on.
How it works
- 1Trigger. the user's set wake time arrives (or a wake signal from a connected device feed), and the agent has a committed morning routine on file.
- 2Decision. the agent reads the routine's ordered steps and what she has completed on past mornings, picks the right entry point and pace, and a quality judge checks the moment is wanted — not a rest day, not already done, inside her chosen hours.
- 3Action. it opens the sequence one step at a time on push and in-app ("first, a glass of water — tap when it's done"), advancing only as each step is confirmed so the routine is performed, not just announced.
- 4Follow-through. completions and skips write back to her streak and memory to tune tomorrow's pace and order; a routine she finishes on her own before the prompt cancels the queued start, and missed steps are quietly carried forward rather than nagged.
Configuration
How the agent is wired for this use case.
- App backend · read the committed routine and its ordered steps; receive per-step confirmations and write completions back
- Memory store · recall past-morning completion patterns, pace, and preferred order to tune the walkthrough
- Scheduling system · fire the start at wake time and cancel the queued sequence if she completes the routine on her own first
- Messaging channel · deliver the step-by-step prompts on push and in-app and advance only as each step is confirmed
- Knowledge base · ground the short why-this-helps lines attached to each routine step
What you need
The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.
Signals
the user's wake time or a wake event from a connected device, plus per-step completion and skip events from the app
Data
the committed routine and its ordered steps, per-user completion history and streak state, notification consent, device tokens, and quiet hours
Guardrails
judge review of every start with "don't start" as a first-class outcome; frequency caps and quiet hours; rest-day and already-completed suppression; general wellness framing only, never medical instruction
Metrics it moves
- activation-rateup, because a routine that is walked through gets performed instead of admired and abandoned
- dau-mauup, as each morning becomes a guided session rather than a reminder she dismisses
- adherenceup, since holding the user step by step is what converts a committed routine into a repeated daily habit
Related use cases
Onboarding-quiz to personalized-plan activation
sets the goal this routine puts into daily practice
In-app activation companion
the general first-weeks activation pattern this specializes for a daily routine
Habit-streak break recovery
the save side when a built routine lapses
See it on your own customer journey
Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.
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