Selected work
Mobility B2C + B2B 0 → 1 initiative Research → ship

Charger-less parking & availability

Improve availability and discoverability to boost revenue for BlueSG — Singapore's only A-to-B electric car-sharing service.

Outcome
Home-map → reservation drop reduced by 19%
Impact
Weekly number of rentals increased by 14%
What is BlueSG

Owning the cars, renting the charge points

My role — Lead Product Designer: research, service-design strategy, user flows, hi-fi design & validation.

BlueSG is the one and only A-to-B electric car-sharing company in Singapore. Churn and low-engagement research pointed to the same culprit: car & parking availability. BlueSG owns the cars, but the charging points are operated by third-party vendors — and that dependency caps how the fleet can grow.

  • Charging-point operators have limited locations across Singapore, so BlueSG can't release more cars.
  • The operations team struggles to handle abandoned cars.
  • The operating cost of adding new charging points is very high.
The problem

Plenty of cars, nowhere certain to park

Because BlueSG has extra cars, parking availability — not vehicle supply — is the key pain point. On top of that, the existing screens were working against users.

  • High drop-off — reservation conversion was only 64%.
  • High cognitive load and inconsistent flows made decisions hard.
  • A high volume of mobile-app support requests.
  • Usability and accessibility issues throughout the flow.
Annotated audit of the existing reservation screens.
How to validate & measure

Two hypotheses, tied to metrics

Availability

Adding stations lets BlueSG serve more users — more rentals at high-demand stations and in new, uncovered areas.

  • Increase rentals by X%
  • Reduce vehicle idle time per station by X mins
Conversion

High cognitive load and unclear steps make it hard for new users to decide. An easier-to-navigate screen should lift rental conversion.

  • Increase rental conversion by X%
  • Reduce app-related support requests by X%
Problem discovery

An “Assumption Smash” with the whole org

I facilitated a cross-department workshop to explore and deep-dive the problem. The Assumption Smash separated facts from assumptions and surfaced the points that needed more validation — which then shaped the right research method and context.

8
Workshop participants
180 min
Duration
12
Cups of coffee

Areas that needed more validation

  • Do we need to improve perceived availability in the app?
  • Do we need to charge the EV all the time?
  • How does the operations team manage new stations?
  • If a lot is charger-less, how do we ensure users end the rental correctly?
Talk to users

Interviews on both sides of the marketplace

I interviewed external users (B2C) and internal operations (B2B) using two scripts with 22 open-ended questions to uncover values, motivations and routines. I ran B2C interviews with three users over four days and synthesised the findings. I also shadowed the operations team to understand their process — which directly informed the charger-less operations platform.

What I learned

  • Battery level is a critical need — users check the percentage frequently.
  • Charger-less cars are hard to track — did the user end the rental in the right place?
  • Fleet technicians need to perform tasks at the station, and ops needs to disable cars for users.
  • Ops needs to reserve a lot for dropping off abandoned cars by towing.
Ending the rental

Choosing the charger-less hardware

Using the operations data, I ran a follow-up workshop to identify how a charger-less car could end its rental. We evaluated options against effort of installation, cost and timeline.

QR-code end-rental is the ideal solution for the charger-less POC.

Decision factors — installation effort · cost · timeline to charger-less
For the user

How might we seamlessly let users drive and return charger-less cars?

For operations

How might we manage charger-less cars and their parking lots?

Opportunities & risks

Future-state journey, then ideation

I mapped a future-state journey to surface the opportunities and risks of the charger-less model, then reframed the design requirements into actionable “How might we” statements — broad enough to allow many solutions, narrow enough to keep focus.

Approaching a solution

Mapping the flow, shaping the feel

From the workshop outcomes I mapped the user flow and wireframes to move fast. The design then focused on shaping strong first impressions, improving usability, reinforcing brand identity and building an emotional connection through visual progress.

Validate the design

Usability testing the hi-fi prototype

I built a fully functional high-fidelity Figma prototype and recruited participants who fit our criteria. With a test plan of 10 tasks, I ran 4 usability tests and mapped the insights straight into iterations.

<22.5s
Avg time on task
2.5%
User error rate
3.95/5
Avg task rating
76.59
SUS score
Deliver

Final visual design — green-lit to build

I presented the finalised visual design to the management team and got the green light to implement.

Next steps

Post-mortem & measurement

I tracked the user flows in Mixpanel and worked closely with the data team to understand behaviour — completion times and where people struggle.

  • Continuously collecting user feedback.
  • Standing up a Mixpanel dashboard to monitor drop rates, average time taken and more.