Moolli is an AI-powered app designed for dog lovers, offering personalized pet care guidance and behavioral tracking.
As an early-stage startup, they needed to validate their market fit, optimize UX, and ensure their product decisions were data-driven.
Scope
- Discovery
- UX Research
- Product Strategy
- Pitch Desk
Awards & Mentions
- Buble.ioConf 2023 -1st Place
Key Results & Business Impact
Validated product-market fit before heavy development investment.
Increased user engagement & trust in AI-driven recommendations.
Provided a research-driven strategy for long-term product growth.
How do you build an AI-powered pet care app that users actually need?
Moolli had a strong vision but lacked clear user insights. The key challenges:
- Define real user pain points & expectations.
- Validate core features & AI-generated recommendations.
- Align UX & business strategy for long-term growth.
Research & Strategy Process
User Research & Discovery
- Conducted in-depth user interviews & surveys to understand behaviors & expectations.
- Mapped insights into actionable user personas.
Defining the Value Proposition
- Identified what users truly needed vs. what they expected AI to do.
- Refined feature priorities based on research findings.
UX Testing & Iterations
- Conducted usability testing to validate & refine AI-driven recommendations.
- Provided a roadmap for iterative improvements based on feedback.
3
Months. From 0 to a Scalable UX Practice
80
of UX Recommendations Implemented
75
of Roadmap Influenced by UX Research