EasyMate is an AI-powered platform that enables businesses to transform plain-language requests into adaptive software. By learning from real operational data, EasyMate automates repetitive work, improves decision-making, and identifies new opportunities for growth, all without requiring technical expertise or additional headcount.
Key Results
38% reduction in builder drop-off rate.
64% improvement in user retention.
350+ apps built in the first week.
Role & Timeline
Senior Product Designer
May 2025 - November 2025
Methods
User Research / Product Discovery / Competitive Analysis / Design Audit / Visual design / Prototyping / Testing
EasyMate brand colours
EasyMate logo
The Core Hypothesis
We hypothesised that shifting the mental model from "building" to "describing" would fundamentally lower the barrier to entry. By replacing technical controls with natural language interaction, users with no engineering background could successfully deploy operational tools, resulting in significantly higher activation and retention rates.
Project Goals & Success Metrics
The overall strategy aimed to bridge the gap between complex business logic and intuitive user experience.
The Primary Goal
Create a "Grandma-Friendly" creation experience that allows users with zero technical expertise to generate, deploy, and manage AI tools solely through natural language interaction.
EasyMate enables any user to build AI-powered tools without writing code. Users simply describe who they are helping, which tasks they want to automate, and the problems they are trying to solve. From that input, EasyMate interprets the intent and begins shaping the app structure.
To ensure accuracy, an AI-guided interview asks follow-up questions to clarify workflows, data sources, and expected outcomes. Once the system reaches a high confidence score, EasyMate automatically generates the first version of the app, complete with relevant pages, datasets, and interface components.
As the app is created, users are guided through a setup checklist to finalise details and integrations. Once complete, their app is ready to launch and use within their organisation, enabling teams to save time, reduce manual effort, and scale with fewer resources.








