Keen, Ingenio's flagship site, is where people pay by the minute to talk with psychic advisors. Most new customers start with chat, but when the $1 trial ended, most of them left, on every platform.
58%
trial-to-conversion drop-off across web and mobile app
What did I do
Cut cognitive load at the exact moment the trial ends
The Result
+9.5%
mobile app deposits
At a glance
Before
High friction at the critical moment
Still building trust, but treated like buyers
A full-screen modal pulled them out of chat
4 dense payment options in 60 seconds
Tap targets too small for thumbs
After
More confident decisions
A bottom sheet keeps the chat in view
3 options with a clear hierarchy
Lowest amount pre-selected
48px tap targets
The button says what you get: “Add 10 more minutes”
1 / 2
02
Research
Paying a psychic online is full of skepticism
barriers
Many users arrive doubting psychic readings are legit.
Asking for money amplifies that doubt.
A 60-second window adds urgency, not confidence.
The research
The trial’s last minute is the most critical point in the funnel
Why chat mattered
Chat feels less committal than a phone call.
Users go at their own pace, no voice required.
Most people discover Keen on their phone.
What we found
Mobile converted about 30% lower than web in every cohort, regardless of advisor or time of day.
The design assumed committed buyers who only needed payment options.
The analysis
Three exit points killed the conversion
Context disruption
A full-screen modal pulled users out of chat, away from their advisor, at the moment of decision.
Cognitive overload
4 look-alike options, dense copy and a disclaimer, all under a 60-second clock.
Decision paralysis
No default and no clear best value, so the timer often ran out.
1 / 3
The cascade
Each problem fed the next: disruption worsened overload, overload caused paralysis, paralysis ended in timeouts.
03
Approach
Tying to business outcomes
Identify
Credibility at the payment moment
Usability under a 60-second clock
Clarity on what it costs
Which enables
More trials converting to paid
Lower acquisition cost per customer
And drives
More annual revenue from mobile
Higher lifetime value from better first impressions
In sum
More confidence and less cognitive load at payment means more trials convert, which means more revenue and a stronger market position.
The root cause
The payment flow spiked cognitive load at the exact moment trust was forming.
What drove the overload
60-second window
4 dense options
Full-screen takeover
Required disclaimer
design challenge
How might we streamline the UI so customers can choose with confidence before time runs out?
The constraints
Business
Same pricing and payment infrastructure
60 seconds, no more (legal requirement)
A measurable lift within 3 months
Technical
No backend or pricing-logic changes
Existing A/B testing framework
iOS, Android and web built differently
User
Clarity under time pressure
Paying a psychic is high-friction by nature
Thumb-zone ergonomics; 80% prefer chat
Key direction
The pain point matrix pointed to mobile-native patterns (easy, high impact) over backend changes (hard, high impact).
What I changed
Pre-select the lowest amount
Fixes decision paralysis: no default and no clear best value meant the timer often ran out.
Bottom sheet over the chat
Fixes context switching: a full-screen modal pulled users out of chat, away from their advisor.
Streamlined UI, less copy
Fixes visual clutter: 4 look-alike options, dense copy and a disclaimer under a 60-second clock.
48px minimum tap targets
Fixes tiny tap targets: the old ones were too small for thumbs.
1 / 4
other key decisions
Cut anything that didn’t help the user make a decision
Clearer type hierarchy so price, time and action read differently
Brand color on the CTA only
A light shadow to lift the sheet over the chat
The prototype
04
Validation
Same design, two outcomes
The hypothesis
Users weren’t against paying. They were overwhelmed by the ask at a vulnerable moment.
The test
A
Control
Original payment flow
B
Variant
Optimized for cognitive load
Locked by the test framework
The 1-minute window, the number of options, backend price logic
Platforms
Mobile app + responsive web
Key metric
Deposit conversion rate
Then the scope changed
The VP of Product expanded the test to every platform. I’d designed for that, so the changes scaled with small tweaks.
The results
No impact on web
More noncommittal visitors from lower-intent channels. Commitment, not friction, was the barrier.
+9.5% app deposits
Downloading an app signals intent, especially for a niche product. Friction was the barrier.
The insight
Reducing cognitive load pays off most when users already have intent.
05
Reflections
What I’d carry forward
Strategy first
Framing it as a key business problem (i.e. a mobile-web conversion gap) earned buy-in to pursue this amidst a range of priorities.
Systems over features
Diagnosing the mismatch between where users were (forming trust) and how the system treated them (buyers) revealed the real leverage.