The Challenge

Digital product teams needed a new way of working to increase both speed and accuracy in delivery. Traditional approaches lacked robust collaboration, rapid decision-making, and frequent user validation. We set out to create an AI-enabled, repeatable sprint model that empowers teams to rapidly ideate, prototype, and validate solutions with real users to driving faster, higher-quality outcomes.

My Role

As program manager, I co-designed and led the sprint framework, facilitating seven sprint engagements with more than 100 colleagues. I partnered with product, design, engineering, and business stakeholders to guide teams from ambiguity to validated concepts. I also coached teams post-sprint to help them adopt and scale these methods. My role combined facilitation, product strategy, and experience design.

The Process

• Partnership: Collaborated with product managers to define focused problem statements and align on roles, expectations, and outcomes

• Strategy: Planned each engagement, identified participants, and tailored activities within the Accelerator structure to compress months of work into a structured, high-impact format

• Facilitation: Enabled strong cross-functional collaboration and built team confidence in co-creation

• AI Integration: Leveraged Kiro, Amazon’s instant engineering agent, to rapidly translate concepts into low-fidelity prototypes

• Testing: Validated concepts through direct user feedback using rapid experimentation sessions

Outcome

Teams achieved 8–10x faster speed to delivery, moving from concept to validated direction in a fraction of the time. They emerged as stronger, more aligned cross-functional teams, with increased confidence in product decisions driven by early and continuous user validation.