How Research Teams Can Deliver Higher-Quality Insights Faster
summary
Claims a nine-step research process that handles hundreds of requests a year as product portfolio grows from 34 products in 2022 to +4 then +5 more, and describes concrete fixes: centralize artifacts in Datalore notebooks with interactive Plotly dashboards and AWS S3 attachments, unify environments so dependencies are reproducible, add peer code review and a brief template, and institute feedback loops and retrospectives. Measured outcome is concrete: tooling changes save about one hour per research project and enable interactive demos, versioning, and faster stakeholder decisions.
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chapters (15)
- 0:00Research process intro
- 1:14Triathlon to research challenges
- 2:21Nine-step research process
- 4:55Managing research requests
- 7:49Stakeholder alignment strategies
- 9:57Research design best practices
- 12:56Data analysis tooling issues
- 15:46Datalore workflows
- 18:19Impactful research reports
- 19:23Peer review & QA
- 21:09Presenting to stakeholders
- 22:15Leveraging feedback
- 24:29Knowledge sharing
- 26:21Key takeaways
- 28:12Q&A
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