Interven- Case Study · Urban Mobility · 2024
Industry | Duration | Region | Role |
The Challenge
Wrongly parked cars block ambulances, school buses, garage gates, and entire residential streets. Existing solutions force you to call a tow, file a police report, or post angry photos on social — slow, public, escalation-heavy. Interven's founders wanted a third option: a private, polite, instant nudge to the driver.
01 - Required a friction-free 3-tap reporting flow |
02 - Driver lookup needed privacy-first architecture |
03 - Camera, geolocation, social share — all on launch |
04 - Dark mode UI optimised for evening street use |
Our Approach
We built Interven around one principle: the report should be faster than the frustration. Camera-first flow, automatic geolocation, optional plate scan, and a one-tap private notification to the driver — all wrapped in a dark, calm UI that doesn't add anger to a stressful moment.
01
Research
Field interviews with 30 drivers and 12 affected neighbours. Mapped 4 reporting scenarios that became the entire app.
02
Design
Camera-first onboarding, dark UI optimised for night use, micro-interactions that confirmed the report was sent.
03
Build
React Native app, Mapbox integration, optional plate-OCR, and a privacy-first notification backend.
04
Launch
Soft-launch in Warsaw, Riyadh, Dubai. Iterated on report-flow timing data weekly post-launch.
What we shipped, what it did
Outcomes
3 taps
Average report completion in 8 seconds
12k+
Reports filed in the first 6 months
94%
Driver-notified resolutions under 24 hours
4.7★
Combined iOS + Android store rating
Customers testimonials
We came to Zaawia with a brief in PowerPoint and left with an app on two stores. The team understood that the speed of the reporting flow WAS the product — every design call came back to that.
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