Context
NTU PACE gets more than 268,000 users a year, and 75% leave without exploring a course.
NTU PACE staff asked students to tackle that problem as a real brief. Learners search by goal. The site was organised by department.
NTU PACE’s own 24/25 report set the baseline the redesign is measured against:
| Metric | 24/25 |
|---|---|
| Unique users | 268,000+ a year |
| Page views | 1.1m |
| Left without exploring courses | 75% |
| Homepage visitors who complete the enquiry form | 2.8% |
| Bounce rate | 34.92% |
| Average session | 72 seconds, 2.33 views |
| Course pages vs homepage | 3.5x longer sessions |
| Traffic | 58% organic search, 23% direct |
| Devices | 54% desktop, 44% mobile |
Source: NTU PACE Google Analytics, Monsido and Acquire Optimize report, 24/25.
Research
Card sorting and usability tests showed 3 problems:
- Confusing labels. 11 of 12 participants got lost on “FlexiMasters”, “Stackable Certificates” and “Professional Executive Certificates”.
- Poor navigation. More than 50% couldn’t find courses by outcome.
- No memory. No way to save a course and come back to it.
“I don’t know what all these categories mean.”
M, aerospace engineer
The card sort exposed a mental-model gap the institutional team had missed.
Decisions
3 changes, each tested against the old site.
01 · Search by goal
Match how people search, not how NTU is organised
A goal-based hero search replaces the department categories, so learners start exploring straight away.
493s → 72s task time · 2.9 → 1.7 difficulty out of 5

02 · Sticky header
Remove the re-orientation cost
A sticky header keeps the key sections in view while learners scroll.
30% → 53.3% home page exploration

03 · Save courses
Decisions span sessions, not 1 visit
Learners save courses without signing in, then pick up where they left off.
7 of 10 found it in a first-click test · 4.7 / 5 helpful

Trade-off
A preview overlay
I proposed a hover or tap preview so learners could see key course info without opening a new page. Testers barely used it, and it added a click of its own, the opposite of what it was for. I cut my own idea.
Outcomes
Task time down 85%, from 493s to 72s. Drop-off down 10% against the 24/25 baseline, where 75% left without exploring courses. I presented the findings and prototype to NTU PACE executives.
How the estimate adds up
| Step | Figure |
|---|---|
| Lost visitors recovered | 5 to 10% = 10,000 to 20,000 learners |
| Conversion | 1 to 3% = 100 to 600 more enrolments a year |
| Revenue | Est. $200k to 1.2M a year |
The revenue uses about $2,000 per enrolment: a bottom-up average of the course fees on the NTU PACE site.
Reflection
- I prioritised structure over personalisation. It had the most leverage for the timeline.
- The card sort exposed a gap the institutional team missed.
- Untested assumption: do learners use the smart search, or does everyone default to browsing?
Try the prototype. whole-metric-22560084.figma.site/
View live prototype
All work
Resume


