
In my 25+ years as a UX designer, information architect, creative lead/director, and product designer, I have navigated various methodologies—from Waterfall to User-Centered Design to Agile. Each has shaped my approach to delivering impactful projects. Recently, however, I discovered Hypotheses Driven Design (HDD), and it has transformed my perspective on product development.
Throughout my career, I prided myself on being meticulous and process-oriented, following structured methodologies to produce deliverables step-by-step. But as I transitioned into the role of a tech entrepreneur, I realized that this approach, while reliable, wasn't always the most efficient or effective for startup environments. Startups demand agility, quick validation, and a keen focus on solving the right problems without getting bogged down in lengthy processes.
Hypotheses Driven Design introduced a paradigm shift for me. Instead of jumping into solution mode, HDD emphasizes understanding and validating the problem first. This approach seemed counter-intuitive at first—after all, solving problems has always been my driving force. But I quickly saw the value in taking a step back to ensure that we are solving the right problems.
One of the first steps in adopting HDD was to embrace the Lean Canvas model. Unlike traditional business plans, the Lean Canvas focuses on the essentials without diving into solutions prematurely. Here’s how I applied it to our project, Idonea:
An effective elevator pitch is critical, especially when it focuses on the problem. Here’s one of the pitch I developed for Idonea:
Recruiters struggle to find qualified candidates quickly amidst an overwhelming number of applications, while job seekers face a lack of feedback and transparency. Idonea aims to bridge this gap by addressing these pain points, ensuring a smoother, faster, and more transparent recruitment experience for both parties."
A crucial aspect of HDD is to validate assumptions before investing heavily in development. Here’s our approach:
To ensure ongoing relevance and accuracy, we must implement systems to counter Innovator’s Bias:
Adopting a mindset of continuous innovation is vital. By using frameworks and playbooks, we can continuously vet new ideas and improvements. This approach ensures that Idonea not only meets current needs but also evolves with changing market demands.
Transitioning from a corporate UX designer to a full-time tech entrepreneur has been an enlightening journey. Embracing Hypotheses Driven Design has equipped me with a powerful toolset to validate problems before diving into solutions. This data-driven, agile approach minimizes risks, saves time and money, and ultimately increases the chances of building a successful recruitment platform like Idonea.
I have learned by focusing on the right problems and continuously iterating based on real user feedback, we are assured to create a product that genuinely addresses the needs of our users. This journey has reaffirmed my belief in the power of adaptability and lifelong learning.
We want to solve the right problems and build solutions that truly make a difference.
About the Author: Colette 't Hart is the Co-Founder and CEO of Idonea, a pioneering recruitment platform leveraging semantic ontology and AI-powered matching engines to eliminate unconscious bias and empower businesses to build diverse, high-performing teams. A seasoned tech entrepreneur, UX specialist, and DEI advocate, Colette has decades of experience transforming complex challenges into innovative, user-focused solutions. Passionate about redefining recruitment, she is committed to fostering equitable hiring practices and revolutionizing how talent and opportunity connect. Connect with her on LinkedIn.