A naukri.com initiative
Logrocket
3d
335
Image Credit: Logrocket
Why switching to weekly research sprints was a game-changer
- As the AI revolution progressed, there were debates within a product team about the effectiveness of continuous discovery and allocating resources to research projects.
- To address their needs for quick learning and staying ahead, the team transitioned to weekly research sprints, finding them to be a significant improvement.
- In the fast-paced AI-driven product landscape, the company struggled to keep up with the demands for learning and adapting to new segments.
- While continuous interviews and research projects were helpful, they fell short of meeting the team's requirements for rapid insights.
- The shift to weekly research sprints allowed the team to conduct multiple interviews each week, leading to accelerated learning and decision-making.
- The structured process involved defining research questions, conducting interviews and surveys, synthesizing insights, and planning based on findings within a week.
- Although the process posed recruitment and capacity challenges, partnering with external agencies and freelance researchers helped overcome these hurdles.
- Despite the higher costs associated with weekly sprints, the efficiency and depth of insights gained justified the investment for the team.
- The approach of rapid research and immediate action based on insights worked well for the team operating in a dynamic environment.
- Recommendations include starting with continuous interviewing and gradually scaling up research efforts, but for fast-paced environments, weekly research sprints can offer significant benefits.
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