SP
SimplePractice PLG Initiative

Fixing Trial Onboarding
For Clinicians Who Weren't Ready Yet

When we started digging into trial conversion, it looked healthy on the surface. Around 28 percent of clinicians who started a trial ended up paying. Not bad for healthcare SaaS. But that number had stalled for months, and we were flying blind on why.

We looked at the behaviors of users who converted. One thing stood out: trialers who booked a session within their first 7 days converted at over 80 percent. Seemed promising. But when we looked closer, that signal fell apart. These weren't new clinicians. They already had active practices and were testing us with real clients. It was survivorship bias.

That forced us to rethink how we measured early value. Instead of looking at final actions like booking, we mapped the entire trial journey and looked for repeatable steps that correlated with conversion before a client ever showed up.

What Actually Moved the Needle

After digging through 90 days of onboarding data and user interviews, working closely with our data science team and marketing analytics, three patterns stood out. Trialers who did all three were much more likely to convert:

1

Added practice details (name, address, timezone)

Basic information that helped them feel established, even before their first client.

2

Enabled a client intake form that included "Reason for Visit"

Gave structure to their client interactions and helped them prepare for sessions.

Deep dive into this project here
3

Launched a basic public-facing website

One-click publish that made them look professional to potential clients.

Each of these gave structure to their business, even if they weren't seeing clients yet. It wasn't about pushing users faster. It was about helping them feel like a real practice.

We focused the flow around those actions. Min-maxing high value actions while ensuring we got out of the clinician’s way and let them do what they do best: help patients.

Rollout, Results, and How We Measured It

We ran an A/B test on ~12,000 trialers. The control group kept the old checklist. The test group got the new flow.

What we saw:

Trial-to-paid conversion increased from 28.1 to 35.7 percent (27% relative lift, 7.6pp)
Onboarding completion went from 53 to 86 percent +33pp
Time to first appointment dropped by half, from 6.4 days to 3.2 -50%
NPS from new users in their first 30 days increased from 30 to 65 +35 points
Support tickets about onboarding dropped 38 percent -38%

Trial-to-Paid Conversion Comparison

Before (Control)

28.1%

Old checklist approach

After (Variation)

35.7%

Guided setup flow

+27% Relative Improvement
7.6 percentage point increase

Onboarding Completion Funnel

Before: Broken Funnel

Trial Start
100%
Setup Complete
53%
Converted
28.1%

After: Optimized Flow

Trial Start
100%
Setup Complete
86%
Converted
35.7%

Time to First Appointment

6.4
Days (Before)
Old onboarding flow
3.2
Days (After)
Guided setup flow
50% Reduction
Helped trialers reach "moment of clarity" faster

NPS Score Improvement (90 Days)

Before 30
30
After 65
65
+35 Point Increase
From passive to advocates

We measured impact using logged product events, changes in survey responses, and tagged support issues. We ran significance testing to confirm each result before reporting it. These numbers shaped pricing strategy and onboarding headcount. All metrics were pulled directly from our data stack and validated by the product and marketing data teams.

How We Gathered Insights

Before rebuilding onboarding, we ran structured research across both quantitative and qualitative channels. The goal was to understand not just what users did, but why they hesitated.

Quantitative Inputs:

Cohort-level funnel tracking using Amplitude, focused on trial day 0–7
Continued engagement tracking through full 30-day trial period
Drop-off event clustering to identify where users stalled (e.g. practice setup, client intake)
Conversion rate analysis from trial to paid subscription
Booking rates for onboarding calls after in-app setup completion

Survey (N = 734) sent on day 5 of trial:

"What's stopping you from creating your first appointment?"

"I'm not ready to meet with clients yet" 42%
"I don't have all the intake info I need" 37%
"I'm still evaluating different tools" 21%

Qualitative Research:

12 moderated interviews (45–60 min each) with new solo practitioners who signed up but didn't create an appointment

Mix of therapists, counselors, and social workers, mostly early-career or launching a private practice

Interview prompts included:

"Walk me through what you expected when you signed up"
"What were you hoping to get done in the first session or two?"
"At what point did you feel stuck or unsure what to do next?"
"What kind of info do you need from a client before you'll agree to meet with them?"
"What would make this software feel ready-to-use instead of overwhelming?"

We coded transcripts using Dovetail and pulled common themes:

Users needed structure without friction. Most didn't want hand-holding, just a clear path.
Clinicians feared liability exposure early in the intake process, especially around self-harm disclosures.
Several admitted to "abandoning the setup and planning to come back later," then never did.
The ones who published a site or intake form said it helped them "feel legit" and created momentum to keep going.

These findings directly shaped the onboarding flow:

We surfaced the right forms earlier, previewed what clients would see, made the experience linear without being rigid, and built subtle safeguards into the process.

Account Created
Smart User Profiling
Specialty detection • Location inference • Experience level assessment
Has Complete Practice Info?
No
Auto-fill with Smart Defaults
• Browser location detection
• Google Places API integration
• Automatic timezone setup
Yes
Enable Reason for Visit
• Preview mode enabled
• Legal disclaimers added
• Specialty customization
One-Click Website Setup
Create Sample Appointment
Ready for First Real Client
Complete setup achieved ✨
3.2 days
Average time to first appointment
86%
Complete onboarding setup
35.6%
Trial-to-paid conversion

Deeper Impact Analysis

The changes gave new clinicians a clearer path. Within 30 days, more felt in control, understood the platform, and used it with confidence.

41%
Higher Conversion
Users completing top 3 guided tasks
Clinicians who completed key setup actions converted at significantly higher rates.
93%
Feature Adoption
Intake form with “Reason for Visit” enabled
Clinicians enabled this by default when it was introduced earlier in the flow.
-38%
Support Tickets
Fewer questions about onboarding after launch
Trialers needed less help to get started. Most confusion was handled by the product itself.
-22%
Internal Support Time
Fewer handoffs for basic onboarding issues
CS was freed up to solve more bespoke problems for clinicians.

Moment of Clarity

Time to first appointment dropped by 50%, from 6.4 days to just over 3. This helped trialers reach a moment of clarity: "This platform works."

3.2 days average to first appointment

Creating Advocates

NPS among new users climbed from 30 to 65 in 90 days. We weren't just converting more—we were creating advocates.

+35 point NPS improvement

The Impact Beyond Metrics

We rebuilt onboarding to guide new clinicians through what mattered, then let them focus on their work. No clutter, no distractions. Just enough structure to help them get set up and see value quickly. It lifted conversion, improved NPS, and cut down support volume. After the launch, I spent time coaching over 15 PMs across the org on how to build like this. Start small, test everything, stay close to the signal.

Ready to Transform Your Product Growth?

I specialize in product-led growth strategies that drive real conversion improvements. Let's discuss how systematic experimentation and user-focused design can unlock your product's potential.

Let's Build Something Great
SP
SimplePractice
Practice management software for health & wellness professionals
Learn more at simplepractice.com
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