The wuntu app
This project was a contract role working on the loyalty and rewards app Wuntu, run by Three, the telecoms and internet service provider.
Over the course of the project we introduced multiple discounts in high street shops, restaurants and beauty salons into the app.
The challenge was to categorise these new offers and add a search and filter functionality, and to turn multiple redemption journeys into a seamless user experience. We also worked on personalisation piece to offer relevant content to users.
The overall aim was to increase app engagement and customer retention.
When the app first launched, the proposition was to provide both discounts and freebies like free Costa coffee and Greggs sausage rolls. Three was subsidising these rewards under a reciprocation influence but it soon because too costly and therefore unsustainable.
Three made the decision to remove these freebies and replace them with exclusive discounts for Three customers. However, this approach was unsuccessful and Three saw a 50% drop in app engagement. So the research began!
Surveys and Feedback reviews
Qualitative data was collected from in-app surveys, social media feedback and iOS App store and Google Play App reviews.
From a proposition point of view, it became apparent that users were unhappy about the removal of regular freebies, because let's face it, who doesn't want free stuff?
Customers were also saying that the current discounts were not relevant to them. Many commented that offers were only London based, or for thing they weren't interested in.
Much of the information that came out of this type of testing was about the business proposition rather than the experience of using the app. I wanted to speak to customers in more detail.
I arranged to spend some time visiting Three's high street stores, talking to customers about their experiences with the app.
I wanted to understand:
Which types of offers users liked and didn't like
How users navigated the app to find the offers they wanted
How users would approach a challenge to find a specific offer
Users struggled to find offers because they were not categorised well
Lack of search functionality meant users had to scroll through everything to find relevant offers
Card sort and questionnaire
Users told us that there were not enough local offers. In response to this, Three partnered up with new companies to enable them to offer thousands of discounts in shops, restaurants, beauty salons and more.
We knew from testing that even with limited offers, users struggled to find offers relevant to them, so using the new offers, we performed a card sort to figure out how to integrate all these new offers.
Open card sort
Allow participants freedom to organise topics into group as label them as they choose.
Find patterns of groups of content and understand the language used for group names.
Hybrid card sort
Participants grouped topics into predefined groups and ask further questions based upon previous sort.
See if expected groups match participants choices. Dig a little deeper to understand user needs
Personalise layout based on previously claimed offers
Include 'nearby' category based on users location
Add map functionality
Add search and filter functionality
Categorise offers in multiple categories
Surface web chat during potential point points (claim code, offer details)
Notify users when new relevant content content becomes available
Allow users to change location
Organise content into suggested categories (as found in the next section)
Following the card sort, I created a site map the following site map using Overflow and presented to developers and stakeholders.
Present a hierarchy for categorising new offers
Add bookmarks to assist with memory recall
Integrating new offers with current functionality
Present multiple redemption journeys into seamless user experience.
To test the proposed site map we ran a Tree Test in Optimal Workshop. We gave participants 8 tasks to complete and measured the success rate.
Create a sitemap based on the previous rounds of cards sorts and set tasks for users to find correct answer.
To see if proposed sitemap correlates with where participants actually want to go.
Based on 8 tasks, we saw an average success rate of 90%. On that basis, we went ahead with the proposed site map with some small tweaks.
During the tree test we discovered that users wanted a place where they could quickly see offers relevant to them.
Everyone is different, and we had data on which offers a particular user had claimed in the past, so we wanted to create layout that used this data to to dynamically change content depending on each users needs.
To establish the hierarchy of content I produced wireframes to handle a number of factors.
Variations were also created based on personalisation to serve relevant content to users based on their interests.
Users need to be able to easily scan content for different types of offers with different information.
New partners and offers had to be added into the app without jeopardising current functionality.
The layout had to suit multiple partners all providing different redemption journeys.
Applying the brand
Using an established, limited colour palette, we found a way to develop and illustration style to use throughout the app that promotes a fun and friendly brand.
Three's brand typeface is Helvetica Neue. However, because we were building a native app we instead used default iOS and Android fonts to support dynamic type styles.
Final screen flows and designs
Here is a selection of Hi-Res flows, bringing together the IA, the wireframes and the brand look and feel. This is by no means complete but should give a good feel for the app.