Vasiliy Kaminskiy - How Research Teams Can Deliver Higher-Quality Insights Faster | PyData

Research process at JetBrains is structured into 9 key steps, from request ideation to final presentation and feedback

Critical elements for successful research delivery:

• Clear request management and prioritization based on company/product strategy
• Comprehensive briefing process to define stakeholder expectations and requirements
• Structured research design with peer review from experienced data scientists
• Consistent documentation and artifact storage using research notebooks
• Regular knowledge sharing both within team and company-wide

Project management best practices:

• Split large projects into smaller blocks/iterations
• Use templates to capture key information
• Store all research artifacts (SQL, recommendations, visualizations) in one place
• Implement proper version control and commenting systems
• Create interactive dashboards for stakeholder engagement

Stakeholder management approach:

• Identify all explicit and implicit stakeholders early
• Define clear expectations through detailed briefings
• Present results through live demos or Q&A sessions
• Gather both automated and manual feedback
• Address negative results proactively through clear communication

Quality assurance measures:

• Peer review process for code and methodology
• Regular retrospective sessions to improve processes
• Validation of research impact through stakeholder feedback
• Contribution to company-wide knowledge base
• Focus on reproducibility and documentation

Tools and infrastructure:

• Centralized research platform (DataLore) for consistency
• Interactive visualization libraries for better presentation
• Automated survey system for feedback collection
• Integrated version control and commenting system
• Unified environment for all users with consistent dependencies