Get started dashboard · onboarding analysis · May 2026

Explore top features

Keep the section. One in five new practitioners click a card, and those who do activate and convert far more. The lift is associative, so confirm it with a holdout test before any major change.

3,548
May practitioner signups analysed
20.0%
click a card within 7 days
1.9×
more likely to add a client
5.0×
more likely to convert to paid

Reach and timing

658 of 3,548 signups (18.5%) click a card within one day, rising to 711 (20.0%) over seven days. Engagement is almost entirely first session: 88% of clickers click on day 0, 94% by day 1.

First click, days after signup

625
Day 0
42
Day 1
9
Day 2
9
Day 3
5
Day 4
11
Day 5
7
Day 6
3
Day 7

Which cards get clicked

Clicks spread evenly across all six cards. The weakest still draws 70% of the strongest, so there is no dead card to cut. The 711 clickers generated 1,234 clicks, about 1.7 cards each.

Distinct clickers within 7 days

Send intake
233
Import a template
230
Share your booking link
208
AI Notetaker
202
Workflows
198
Start video calls
163

Clickers vs non-clickers

Practitioners who click a card within 7 days activate and convert at much higher rates than those who do not.

Clicked a card Did not click
Added a client (within 7 days)
40.8%
21.7%
1.9× higher among clickers
Converted to paid (to date)
11.0%
2.2%
5.0× higher among clickers

More cards explored, more activation

The relationship is near perfectly monotonic. Each additional card a practitioner clicks tracks with a higher rate of adding a client and converting to paid.

Added a client (7d) Converted to paid
21.7
1.8
0 cards
n=2,814
32.0
5.4
1 card
n=463
48.0
9.8
2 cards
n=123
50.9
21.1
3 cards
n=57
62.5
40.0
4 cards
n=40
68.8
53.1
5 cards
n=32
63.2
36.8
6 cards
n=19

Section reach in context

The explore section sits below the primary setup checklist. It draws about half the active engagement of the checklist buttons, which is reasonable for a secondary, optional section.

Checklist action buttons (7d)
41.6%
Explore feature cards (7d)
20.0%

One tracking issue to fix

Clicking a card fires both the click event and an "onboarding feature completed" event, so the "0 of 6 complete" tracker counts clicks, not real feature use. Treat it as engagement, not activation. Send intake is the one card where completions lag clicks, pointing to drop-off inside its flow.

CardClick events"Completion" eventsGap
Import a template318333+15
Share your booking link2942940
AI Notetaker2422420
Workflows2402400
Start video calls2022020
Send intake366204−162

Recommended next steps

  1. Run a holdout test. Hide the section for a random share of new signups and compare activation and conversion. This is the only clean way to prove the section causes the lift rather than just attracting motivated users.
  2. Map each card to its real downstream action (template created, AI note recorded, booking published, intake sent, workflow enabled, call started) to separate genuine adoption from vanity clicks. Send intake already shows a gap.
  3. Personalise cards by signup goal. The signup goal is captured, so cards can be ordered to match stated intent, for example surfacing Workflows and AI for the "reduce admin" cohort.

Method and caveats

Associative, not causal. Clickers are self-selected as more motivated, so part of the lift reflects who they already are. The dose-response gradient strengthens the case but does not prove causation. A holdout test settles it.

Conversion is right-censored. The May cohort has been observed for under one month, so paid conversion will keep rising. Activation uses a fair seven day window for every cohort.

Definitions. Reach and lift count distinct people clicking within seven days of signup. Dose-response groups by distinct cards ever clicked (734 clickers, versus 711 within the strict seven day window). Source: PostHog production, project timezone Pacific/Auckland, HogQL without test-account filtering (immaterial at this volume).

Carepatron growth · prepared 1 June 2026 · data from PostHog, May 2026 signup cohort