Designing A Better Future
DRIP is like Spotify for fashion, offering a freemium service that empowers users to discover, curate, and manage their fashion style and identity. Fuelled by curatorial integrity and a personalised AI engine, in its simplest form users can search for fashion items and create playlists in our mobile or web app.
DRIP also helps fashion brands find potential customers organically online with a system where the customers come to them. No longer will brands struggle for exposure online or spend fortunes on marketing, with DRIP’s curated edits and personalisation, the customers find their products, style them together and purchase or rent with confidence.
THEORY OF CHANGE
IF: We can increase the time spent by fashion consumers building self-confidence and experimenting pre-purchase, through digitally discovering, curating, and managing their style, identity, and clothing
AND: enable consumers to find and support small community-based brands
THEN: All stakeholders will be empowered to make more informed and responsible choices
AND: therefore consume, produce less, and contribute to a more sustainable future for the fashion industry.
FEATURES
To deliver the theory of change we created a refined list of features, that through testing formed our MVP
Discover
Home feed - a feed of curated and recommended racks based on your usage data and preferences
Style quiz - An onboarding quiz to figure out your style DNA is a gamified Tinder-esque fashion whereby you like and dislike fashion items. Analysed by machine learning, this helps better-fit products to your needs, values, and preferences.
Curate
Product search - Search for fashion products in two ways - one through a keyword search or two via a visual search where you can take an image of a product and find a match
Racks - Playlist-like dashboards to curate items together. Opinions include a generic rack, wishlist or wardrobe, and private and public access. Racks include a built-in custom field to enable auto-fill of playlists based on your data and your desired attribute such as a mood, item type, style, or colours.
Product pages - Interactive product pages that enable you to tag and sort items into various racks, wishlists, or wardrobes. You can also click through to find the product purchase page on the brand's e-commerce website.
Manage
Your wardrobe - update, edit and sort your existing wardrobe items in custom templated racks for organising your closet around attributes from mood to the day of the week.
Size profiling - input accurate sizing through AI body image analysis to create a digital profile of your physique. Cross-reference this with preferences to get accurate sizing recommendations across products in DRIP.
Preference setting - Customise your entire DRIP experience by setting detailed preferences, from environmental values, to cost and style preferences.
IMPACT
DRIP is shaping a new fashion future. Doing away with fashion retail's ever-changing seasons and stock churn and encouraging iconic products, season-less collections, and sustainable business models - from made-to-order to second-hand and rental. With DRIP we hope to design a podium that ushers in systemic change.
DESIGN PROCESS
Throughout the design process, we benchmarked features against best practices and unused emerging technology to push the boundaries of innovation. In order to bring value to users we tested out our features based on their importance to users then using the Kano model we prioritised what needs to be done first. During all testing, we offered a space for participants to brainstorm ideas and co-design as a source of further inspiration.