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Built this for a client, basically Strava, but you can race your friends live on a map.
Performance felt pretty broken earlier, but a few tweaks within Expo helped a lot. The harder part was getting everyone's location to update live without absolutely destroying the battery.
Can't share much about the project, but the screens turned out pretty nice.
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🧪 TASTY TEST 04/30
Which mood would make you more likely to start?
🔥 A Grounded Warm, intimate, cocoon like.
🌫️ B Weightless Cool, airy, spacious.
Same UX. Different emotional temperature.
💡 Growth Insight: visual mood can change how easy the same action feels.
Which one would you choose? A or B?
04/30. 26 experiments left. Follow for the next one.
👉 BOOK A MOBILE APP STRATEGY SESSION
https://calendly.com/asol_design/book-diagnostic-call-linkedin-clone
#MobileAppDesign #MobileUX #GrowthDesign #WellnessApp #AsolDesign
26 voted
26%
75 voted
74%
101 votes
Closed
Really cool direction!
Light or dark? I shipped Golf Travel Passport with both, which one would you keep open on the first tee?
23 voted
59%
16 voted
41%
39 votes
Closed
White for me. It feels cleaner and easier to scan.
🧠 GROWTH TIP 04/30: DON’T JUST RECOMMEND. EXPLAIN WHY NOW.
“Recommended for you” sounds personalized. But without context, it can still feel random.
For Luma, a wellness and meditation app, we changed one small part of the experience: instead of only telling users what to start, we explain why this reset makes sense right now.
💬 “Picked for a mentally heavy day.”
That one sentence turns a recommendation from a black box into a decision the user can understand and trust.
After working with Spotify, I keep coming back to the same product lesson: recommendation systems become much stronger when the next action feels relevant, not simply personalized.
🔎 1. READ THE SIGNAL
• Time of day
• Recent behavior
• Preferred session length
• What the user actually completes
The goal isn’t to collect more data. It’s to identify the few signals that can make the next action more useful.
🎯 2. MAKE ONE DECISION
Instead of opening Luma with an endless meditation library, the app leads with one clear recommendation:
YOUR RESET TONIGHT
Clear the noise.
Users can still explore other sessions, but the product makes the first decision easier.
🧠 3. EXPLAIN WHY
Don’t stop at:
“Recommended for you.”
Add the reason:
“Picked for a mentally heavy day.”
The framework becomes:
Signal → Recommendation → Reason → Action
Not:
Here’s something you might like.
But:
Here’s what may help right now, and why.
📈 RESULT
For this product concept, explained personalization is designed to drive:
+24% session starts
+31% faster decision time
+18% repeat sessions
The bigger lesson:
🔥 Personalization without a reason can feel random. Don’t just recommend. Explain why now.
04/30 complete. 26 growth insights left.
If these breakdowns are useful, follow the series. I’m turning 30 mobile product concepts into 30 practical growth lessons. And if this one gave you an idea for your own product, leave a like. It helps me see which product and growth problems are worth breaking down next.
👉 BOOK A MOBILE APP STRATEGY SESSION
https://calendly.com/asol_design/book-diagnostic-call-linkedin-clone
I help mobile products improve activation, retention, trust, conversion, and personalization.
#MobileAppDesign #ProductDesign #GrowthDesign #GrowthUX #UXDesign #UIDesign #WellnessApp #MeditationApp #MentalHealthApp #Personalization #RecommendationSystem #Retention #Activation #ProductStrategy #MobileUX #MobileAppUX #ConsumerApp #WellnessDesign #AsolDesign #Spotify
picked for a mentally heavy day is a really good line
