Discovery and events app
An app for discovering new experiences that are personalised to your tastes anywhere in the world.
My role: Product design lead
Team: 2 product managers, 1 designer, 1 ux researcher, 1 data engineer, 2 full stack developers, 3 front end developers
Year: 2021
The goal was to create an MVP version of the Mottli app and launch the beta version focusing on food and drink in a test area if the UK. To take to investors and securing seed and series A funding.
What is Mottli
A way to discover new experiences that are contextually personalised to your tastes anywhere in the world, whether it be dining , music, arts, entertainment or sports. True experience discovery unique to you.
How is Mottli different
Creating behavioural fingerprinting technology, that can generate contextually relevant personalised content at the individual level in real-time.
The Problem
Searching for social and cultural experiences is hard work. It involves high cognitive load and is inhibited by social limits and overwhelming choice.
Cognitive loads
Deciding what to look for, putting it into words, choosing options, repeated content
Social limits
Static bubbles of influence, limited number of filters, reliance on reviews, fear of missing out
User Research
After identifying the problem and conceptualising the idea, validating the app was the first goal. Surveys and interviews made up the bulk of this research. With users of Google Maps, Trip Advisor, and “INSERT APP” all aware of their respective apps problem areas. Keen interest and excitement was established in the development of an app that was able to use a users likes and dislikes, time of day, environment, and context to make recommendations on places to go.
User Journey
The user research informed the direction of user journey. Taking people in a moment of indecisiveness to a great place they can eat or drink with as little input as possible. We created one main thread through the app with options to diverge off of that path where relevant. From login you can see results for recommendations after just one tap. Refining or zooming in on those results is the rest of the journey.
Prototyping
Leveraging wireframes and putting prototypes in front of people we built the onboarding around funnelling new users through the the app while picking up enough information to make accurate recommendations from the very first use.
Using the user journey we identified ares to test different types of benefit based onboarding and other progressive methods.
App screens
