Redesigning a parenting app around a personalised AI assistant that pulls from real community wisdom, plus four supporting features that make day-to-day parenting feel less overwhelming.
Mylo AI Assistant is a feature designed to enhance the Mylo parenting app by integrating an AI-powered companion. The feature, known as Mylo GPT, offers personalised support to young parents by drawing on data from Mylo's existing community forums and chats.
Alongside it, we introduced four supporting features: a sleep tracker, a baby profile page with growth stats and projections, a medical record repository, and a memorabilia section for capturing important moments.
The goal wasn't to bolt AI onto the app for novelty. It was to build a system that genuinely anticipates what a parent needs at 3am, when scrolling forums isn't an option.
New parents face a peculiar kind of overwhelm. There is no shortage of information online — if anything, there is too much. The challenge isn't access, it's trust and time. Sifting through forums for advice that actually applies to your six-month-old at midnight is its own form of exhaustion.
We narrowed the problem to three pressure points:
Parents were using community forums but couldn't easily get to the answer they needed without reading through long threads.
Sleep data, growth milestones, medical records, and memories all lived in separate apps, notebooks, or photo libraries.
Generic parenting advice rarely matched the specific stage, temperament, or circumstance of the parent asking.
We followed a user-centred design loop, beginning with deep research and ending with usability testing on high-fidelity prototypes. Each step fed into the next, with insights from interviews shaping every wireframe and screen we built.
To understand the needs of young parents, we ran in-depth interviews with current Mylo users and analysed how they were using competing parenting apps and forums. We looked for patterns in what they reached for first, what they gave up on, and where the existing tools failed them.
Three insights came up consistently across every interview:
We built two primary personas to anchor design decisions. They captured the spectrum we kept seeing in interviews: from first-time parents in survival mode to seasoned ones who wanted control and continuity.
The visual identity carried Mylo's existing brand language — warm corals and sunlit yellows that already meant something to existing users — and tightened it into a system. We defined a typographic hierarchy using Montserrat and Gotham Rounded, an icon set, button states, and special interactive elements like the feedback slider, sleep tracker bars, and activity ring.
The result was a kit that any future feature could be built from without breaking the feel of the app.
The central hub showing upcoming milestones, events, and the baby's current age and weight. Designed to give parents a quick, calming overview.
An AI chat interface that pulls insights from real community posts to give personalised, grounded answers — not generic ones.
A daily and nightly sleep log with visual patterns over time, helping parents spot trends without spreadsheet thinking.
A calendar of upcoming developmental milestones and important dates, so parents stay one step ahead.
A space combining growth stats, saved documents, and a "Look Back" memorabilia section for milestone memories.
We ran usability tests on the high-fidelity prototype with parents matching our personas. Most feedback was positive, but the most useful kind was the friction we hadn't expected.
Mylo GPT and the supporting features addressed the real needs surfaced in research. User satisfaction during testing rose noticeably, with positive responses to the personalised AI support, the ease of tracking sleep and milestones, and the sense of having a dedicated space for medical records.
The bigger outcome was strategic: Mylo positioned itself as a full-spectrum parenting tool rather than a single-purpose app, and we left the team with a foundation that future features could plug into without redesigning the system.
A great AI doesn't need a complicated interface. It needs to anticipate, learn, and stay out of the way.
From here, the work continues: refining Mylo GPT to handle multi-turn conversations, exploring personalised recommendations driven by sleep and growth data, and expanding the system as new feature areas open up.
Continuous user testing will keep the product honest. So will paying attention at 3am.