Work Two bids, mapped workflow first.
Guard tablet home screen: a dark side menu, plate search and an add-car button, the latest car in with a large camera photo, plate, province, time in and a view-details button, the latest car out with its photo, and a table of today's entries and exits with plate, vehicle type, province, time in, time out, duration and status.
Clients confidentialPre-sales discoveryJul – Aug 2026

Two bids, mapped workflow first: a LINE OA platform and a licence plate audit system.

Two pre-sales bids at Odd-e Thailand: a LINE Official Account platform, and plate recognition for a car dealer group. In both, I worked out who does what before drawing screens.

My role
UX and BA: discovery, flows, design library, screens, proposal
When
Jul – Aug 2026 (LINE OA, then plate recognition)
Tools
FigJam, Figma variables and components
Clients
Not named. Outcome of both bids not confirmed.

What I delivered

7user roles in the LINE OA brief
6 → 1gate crossings read as one visit
16component sets, AA in both colour modes

Part 1 · A LINE OA platform

The client sells foreclosed property and manages bad debt. Enquiries came through agents' personal LINE accounts, phone and email, with no shared record, so two agents could claim one customer and end up in a commission dispute.

Their RFP asked for one LINE Official Account platform for seven roles, from guests and outside agents to borrowers and admins, linked to their existing systems.

Seven roles enter through one LINE Official Account with role-based menus. Enquiries are routed into the CRM with an owner. The platform connects to the client's existing system of record, CRM, single sign-on and document storage. Delivery in five phases, starting with discovery and design.
The RFP scope as I mapped it for the response (redrawn).

I ran discovery workshops with the team and wrote the UX and BA sections of our response: agent and borrower workflows, and how a lead reaches an owner in the CRM. The team presented it with a demo.

Part 2 · A plate system that is really an audit tool

A car dealer group with several branches wanted new plate cameras. The old system kept failing and its vendor had closed, so guards photographed cars by hand. The brief had three lines: record plates, match cars in to cars out, and find which employee did something wrong.

The third line changed the job. A gate decides and forgets; this system had to keep a record that holds up later. Retention, audit trail and reports mattered more than speed at the barrier.

Discovery before screens

  • Requirements and site constraints from the team's FigJam board: one pole, no drilling, an entrance wide enough for two trucks.
  • User journeys for seven personas, from the guard at the gate to the branch manager, auditor and executive.
  • A service blueprint. It showed the driver never touches the software. The only customer touchpoint is the privacy sign at the gate.
  • Camera and vendor research, with prices and integration options, for the proposal.
An off-the-shelf ANPR camera sends plate, direction, timestamp and crop image as an event. Our software layer adds province correction, visit matching, vehicle type, special plates, an audit trail and reports. Two front ends: a guard tablet and an admin web app.
The recommendation in the proposal: buy the camera as a sensor, build the audit software.

I wrote the proposal deck with the team. It compared three options.

Match by visit

My first dashboard paired each entry with the next exit. Then we walked through a repair job: a technician drives the car out and back during the work, so one job can cross the gate six times. Paired, that looks like three short trips, with gaps where the car seems gone.

Six gate crossings for one repair job between 08:12 and 16:40. Pair matching reads them as three separate trips. Visit matching reads them as one visit, first in 08:12 and last out 16:40.
The same six crossings, matched two ways. Sample times.

So a row in the system is a visit, with a first in and a last out, and every crossing inside it. The car detail screen shows all of them.

What kind of car is it?

The old app had a 16-button "service type" screen. Most buttons were departments: it recorded where a car was going, never what kind of car it was, and staff cars had no category at all. I proposed splitting the two: a few facets for the vehicle, and a separate destination department.

A design library for the web app

I built the Figma library before the screens: primitives, semantic tokens, and components that read only the semantic layer. A second colour mode re-skins everything for a darker, premium look.

Primitives such as red/500 map to semantic tokens such as bg/brand, which components read. Sixteen component sets with about 100 variants. Two colour modes: Light, dealer red on white, and Luxury, dark with one warm accent. 130 variables, 12 text styles, 7 screen templates, and every text pairing passes WCAG AA in both modes.
Token layers and the two colour modes (redrawn).

I checked every text pairing for contrast. Warning, link and muted text were too light, and the critical alert banner sat at 4.45:1 because of an 85% opacity fill. I darkened the three colours and fixed the banner.

The first screens

ScreenWhat it handles
Guard tablet · homeLatest car in, today's list, alerts for banned and VIP cars, and adding a car by hand
Car detail, 3 statesIn but not out yet · six crossings, one visit · exit only, a test drive over its time limit
Admin · add a plateEmpty form, duplicate warning, success. It shows the normalised plate the system will match on, so a typo is caught while typing
Admin · dashboard and eventsEntries and exits across branches, unmatched visits, cameras online

What I learned: cut the design back

The LINE OA RFP was detailed, so our first draft designed too much. A senior reviewer sent it back: we didn't know enough yet, and designing from assumptions would lock in answers before discovery. The second draft left those decisions to discovery.

Next caseOne token source for a TV and two tablet orientations.