Expanding the Team’s Qual & Quant Capacity
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."