Sanjana Aggarwal
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Appointment Booking Β· Treat

Revamped Appointment Booking Experience

Reorganising the booking flow around availability to convert first-time users.

Mobile appointment booking screen for a family member
Timeline
14 weeks Β· launched August 2025
Impact
First-time conversion 7% β†’ 15%

The problem

First-time users had a conversion rate of 7%, while repeat users converted at 55%

The business goal was to increase first-time user activation, since engagement for repeat users was already high.

The data

80% of all people who entered the flow were first-time users β€” and split into two groups.

Just exploring the app (80%)

Barrier to conversion: Intent

Intent to book an appointment (20%)

Barrier to conversion: Capability ⭐⭐

The insights

β€’

People only check the first few doctors while looking for a slot & don't explore further if they can't find a slot they want.

During research calls, 30% of users who had dropped off booked a slot immediately when told about the next available slot for their concern.

JTBD for non-regular users is to find the next available slot by date β€” not to search for a specific doctor.

β€’

Even after dropping off, there's a good chance the user hasn't booked elsewhere and still needs the consult.

(Especially true on weekdays and for non-urgent consults.)

The solution

Slots organised by date, instead of doctor

The job to be done for first-time users is to find the next available slot for their problem β€” not to search for a specific doctor.

πŸ“…
Organised by availability
πŸ™‹
β€œNotify me” when available
⚑
Continue booking for drop-offs
πŸ’¬
Appointment reminders

Impact

+62.5%

Increase in first-time user conversion

2x

Bookings per month after launch

30%

Ops bandwidth reduced through self-input flows