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Case study · Thence × Aurumgemé · 2022 to 2023

68% of shoppers left the product page. The redesign doubled conversion.

RoleSole UX Researcher (plus low/mid-fi design)
TeamThence design agency, client team
TimelineOct 2022 to Jul 2023
MethodsCompetitive, heuristic, interviews, A/B
Gold jewellery on velvet

Illustrative image. Client screens under NDA.

THE DECISION THIS CHANGED

The 68% exit rate looked like a product problem. Research traced it to the page itself: slow loading, unclear sizing and product detail, and low trust. The redesign went after those first.

Context

Aurumgemé is a fine jewellery brand from one of India's largest gold jewellery retail groups. Its customers span ages 8 to 80, and it sells through stores, online marketplaces and a mobile app. About 68% of visitors left from the Product Display Page (PDP), the one screen where a browser decides whether to become a buyer.

I worked on it at Thence, a UX design agency in Bengaluru, as the only researcher on the project.

The question

  • Why are people leaving the PDP, and what is missing compared with the competition?
  • Which problems are worth fixing first?
  • Does the redesign actually work, and how would we know?

Why this method

Being the only researcher on a business-critical decision meant I could not rely on any single source. So I triangulated across four independent ones before acting on a finding: competitive and SWOT analysis (BlueStone, CaratLane, PC Chandra), a heuristic evaluation of the PDP, 15 user interviews with task analysis, and Google Play reviews.

I also did not want to call it a win because the team liked the new design. I planned a controlled comparison from the start.

What I did

  • Feature analysis across four sites, scoring each on 15 UI/UX features (Aurumgemé 10/15, BlueStone 11/15)
  • 15 interviews and task analysis across browsing, product selection, cart, payment, returns and wish lists
  • Affinity mapping and thematic analysis, then five personas, from gift-buyers to self-purchasers
  • A prioritisation chart scored on severity and design phase, then 10+ wireframes and a high-fidelity PDP
  • Moderated usability testing, then a post-launch round of interviews and telemetry
The journey from home page to listing, product page and cart. AI-generated illustration; client screens are under NDA.
The journey from home page to listing, product page and cart. AI-generated illustration; client screens are under NDA.

What I found

Slow, unreliable pagesLoad speed and failed image fetches came up in reviews and in interviews.
A needle in a haystackNavigation and inconsistent layouts made specific pieces hard to find.
Sizing and product detailInaccurate or missing sizing and specifications led to hesitation and mistrust.
Trust gapsNo reviews, hidden charges and unclear gold rates and EMI left people unsure about buying online.
Shoppers didn't need more products.
They needed to trust the page.

The messy middle

  • One journey map, not five. I had scoped a map per persona, but the timeline allowed one. I chose one extensive consolidated map over five shallow ones.
  • Confidentiality. Low and mid-fidelity work stays private. I built this case study around what can be shown: the process, the strategy and the validated result.
  • Sole researcher. I built in extra checks (competitor benchmarks, heuristics, interviews) so no single method carried the whole case.

Outcome

I compared the old design (Group A) with the redesign (Group B), 15 participants each over 3 weeks, using post-task surveys, interviews, telemetry from the Aurumgemé team and a t-test.

MetricBeforeAfter
Bounce rate51%30%
Conversion rate3%6%
Task completion70%88%
Satisfaction (out of 5)3.24.5
Average task time97 s64 s

Small sample (n=30). I report it as strong directional evidence, with the full hypotheses and method shared with the client.

What I'd do differently

  • Build all five persona journey maps. A gift-buyer, a self-purchaser and a trend-follower hit different friction, and one map averages that away.
  • Pick the idea with the most value. There were many good directions. The discipline was choosing the one that moved the user's actual problem.
  • Test, test, test. Being open to feedback at every stage is what took the product well beyond my first draft.