Insights

Stop implementing AI features that don’t deliver value. As an EdTech product leader, you’re facing impossible pressure. Your business demands AI integration to stay competitive, but rushed implementations often create features that impress in demos yet fail to solve real problems for educators and students. Get the strategic framework that turns AI pressure into competitive advantage.

As EdTech companies mature, they inevitably look to grow their user bases. When you find yourself at such an inflection point, it’s more critical than ever to refine your research, design, and development processes to ensure you don’t create or compound your UX problems. In this first article in our series on optimizing your UX program to enable smooth growth, we’ll examine what this means for your research process.

Your EdTech product has found its footing with a dedicated user base. The intuitive, fast-moving approach that got you here has served you well. But now you’re at a critical juncture — perhaps you’re expanding functionality, targeting new user segments, or completely reimagining core features. Whatever the catalyst, one thing is clear: a focus on engineering that often propels products’ initial successes might now need a shift towards researching users’ needs and experiences.

In growing organizations, the relationship between design and engineering teams can make or break product development. Many companies start with strong engineering teams and bring in design expertise later. As EdTech products scale, lurking usability problems become emergencies that tax customer support teams and divert engineering teams away from the roadmap.

As we enter 2025, we’re sensing an inflection point for the EdTech industry. While artificial intelligence continues to dominate the conversation, we’re experiencing a broad evolution toward more rapid experimentation that’s driving strategic innovation.