Sarah Kling, Sr. UX Researcher at Amazon, shares how Knit's Researcher-Driven AI platform is allowing Amazon to run faster and more effective quant + qual in a single study. Sarah dives into how and why Amazon landed on Knit – after piloting multiple platforms and testing for research quality, platform usability, and vendor support.

Find out how Knit's Researcher-Driven AI is allowing for Amazon to get to "report-ready insights" to drive quicker decisions and evolve in the age of AI.

#### Expanding the Team’s  Qual & Quant Capacity

How Knit is unlocking Qual-at-Scale for multiple Amazon use cases

#### Accelerating  Speed to Insights

How Knit's end-to-end solutions speed up survey to storytelling in every study

#### Evolving Amazon’s  Research Toolkit

How Knit is able to take on the most time-intensive work to free up strategic thinking for Amazon's team

"What we’ve discovered in working with Knit is how really critical it is to have research-forward tools that understand research workflows and expertise – not just having an AI model that can help you summarize data."