Cyclepic

Crowdsourcing product images to solve a top customer complaint

Crowdsourcing product images to solve a top customer complaint

Reece Group

Australia's largest plumbing and bathroom supplies business

Compressed image
Compressed image
Compressed image
My role

As Principal UX Designer, I:

  • Co-created the product vision with the PM and helped socialise it across stakeholders

  • Mentored a mid-level UX designer

  • Oversaw field usability testing with frontline branch staff

  • Consulted with engineering on technical feasibility

  • Designed a high-fidelity prototype, ready for development

Team

The team I worked with:

  • Product manager

  • Business analyst

  • UX designer

  • Tech lead

  • iOS engineer

  • Full stack engineer

Stakeholders

Internal stakeholders included:

  • Operations

  • Merchandising

"Lots of photos missing… it's hard to identify products."

- customer comment in NPS survey

The problem

40% of all products in Reece's ecommerce app and point of sale system had no photo, making it hard for customers and branch staff to identify the correct item. This was consistently one of our top two complaints in NPS surveys for over two years.

This issue directly impacted product findability and customer trust. Solving it was a clear opportunity to improve our customer experience and reduce a known friction point in both digital and physical environments.

As a customer ordering online, I want to be sure I'm selecting the right products, but I feel uncertain because a lot of products don't have a photo

As a customer ordering online, I want to be sure I'm selecting the right products, but I feel uncertain because a lot of products don't have a photo

How might we ensure the most relevant products have images, so that more users can identify products?

The solution

We took a two-pronged approach:

  1. Declutter the app

The PM and I analysed product purchase history and received buy-in to hide any product with no sales in 12+ months. This cleared 72,000 irrelevant items from the customer experience, many which had no photo.

  1. Crowdsource missing photos

We added a lightweight image-capture feature to a branch-facing iOS app already used for stocktaking. We called it Cyclepic. Staff could take photos of in-stock items using a branch iPhone.

  • iOS tools removed the photo background behind products and screened for inappropriate content

  • Photos were routed to our Digital Assets team for review

  • Approved photos were uploaded to our Product Information System and then immediately surfaced in the app and POS system

Compressed image
Compressed image
Compressed image
Compressed image
Compressed image
Compressed image

Validation and iteration

I tested a Figma prototype on an iPhone directly with four branch staff, from drivers to counter workers.

  • All users completed the task easily, but skipped the instructional text

  • I replaced the text with visual cues and added error handling for invalid submissions

  • Based on feedback, I also added a small 'moment of delight' to the confirmation screen to motivate frequent participation

  • One major simplification: I removed an unnecessary review screen after discovering iOS could auto-remove photo backgrounds

Challenges

Getting buy-in from stakeholders

The success of Cyclepic hinged on our Digital Assets team reviewing and uploading branch-submitted photos. But they were short-staffed and concerned about time, effort, and photo quality.

We ran a pilot with one branch: 5 photos taken with an iPhone. Quality was acceptable. iOS tools removed the background automatically. We preserved file naming conventions to match their current process. Outcome: no more effort than working with photographers - and full buy-in.

Uncertain branch engagement

Testing showed enthusiasm. I added a 'moment
of delight' confirmation screen to encourage continued use.

Risk of inappropriate submissions

iOS nudity detection helped safeguard content flow before human review. (Ask me about this one!)

Impact

The first part of the solution increased photo coverage from 60% to 78% in one go, just by hiding irrelevant products, most of which had no photo.

The Cyclepic part is not yet launched (almost!), but we’ve defined clear success metrics:

  • Primary goal: increase product photo coverage from 78% to 85% within 4 months

  • Supporting indicators: improved NPS feedback on findability, SUPRQ survey results (if conducted 6+ months post-release).

Marina Watson

UX and product design leader

I'm based in Melbourne, Australia on the land of the Bunurong People of the Kulin Nation

2025 Marina Watson. All Rights Reserved

Marina Watson

UX and product design leader

I'm based in Melbourne, Australia on the land of the Bunurong People of the Kulin Nation

2025 Marina Watson. All Rights Reserved

Marina Watson

UX and product design leader

I'm based in Melbourne, Australia on the land of the Bunurong People of the Kulin Nation

2025 Marina Watson. All Rights Reserved