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What I learned from this case study:
Most discovery problems are actually mental model problems.
You don't fix them by redesigning the UI.
You fix them by showing up at the exact moment the user is already thinking about the problem.
That moment for MMT is right after the flight confirmation .
Follow along if you find this useful.
Most travel apps have an inventory problem.
MMT doesn't.
They have 400+ villas per destination. Users book flights and leave without adding a stay.
Not because the villas aren't there.
Because nobody told them. 🧵
The solution: Villa Discovery Assistant
Triggered right after flight confirmation.
3 quick questions — budget, vibe, must-have amenities.
ML-ranked results from MMT's existing inventory.
One-click add to the same booking.
No new supply needed. The villas were already there.
So when is the right moment to change that mental model?
Right after someone books a flight to Goa with 4 friends.
That's peak intent.
They just confirmed the trip. Now they need a place to stay.
That's the moment to ask.
That's not a UI problem.
The villas are right there on the app.
It's a mental model problem.
MMT = flights and hotels in everyone's head.
Nobody searches for villas on MMT because nobody thinks to.
I interviewed 5 leisure travellers who use MMT regularly.
All 5 book their flights on MMT.
All 5 go to Airbnb for accommodation.
I asked why.
Every single one said the same thing:
"I didn't know MMT had villas."
Working on a travel problem taught me something important: The widest solution isn't always the right one. Big, sweeping goals feel exciting but they're often unreachable. What actually works? Smaller, time-bound goals you can execute on today.Narrow the scope. Ship the step. 🎯
One thing I learned from large platform launches:
Teams spend weeks debating solutions before agreeing on the problem.
The fastest projects I've worked on started with a painfully clear problem statement:
Who is affected?
How often?
What's the business impact?
How will we know we fixed it?
Most execution issues are clarity issues in disguise.