Case Study: Research Screener lays a roadmap for commercial success with Mechanical Rock

Laying a roadmap to commercial success by understanding the problem and the customers via UX&D and product strategy

Research Screener, a product that uses machine learning to accelerate academic systematic reviews, sought to grow its customer base and improve its user experience. They engaged Mechanical Rock to understand their key user segments, streamline their onboarding processes, and improve overall user retention and satisfaction.

Mechanical Rock's UX & Design Team employed a human-centred design approach, creating a user journey map to identify pain points and opportunities. The solution simplified the application's flow, made signups easier, and increased user trust by providing clarity on the machine learning process. This work laid a clear roadmap for future improvements and provided the foundation for Research Screener's commercial success.

Research Screener

Leo Ng

Co-founder