
Featured Research: Data Collection Tool Adoption Study
Challenge: A new automated data collection feature had low adoption rates among tax professionals, who continued using traditional Excel-based workflows despite the tool's advanced capabilities.
Research Question: "How might we make it easier for users to adopt automated data collection tools in their established professional workflows?"
My Research Process
Participant Recruitment & Structure:
Conducted in-depth interviews with 5 tax professionals across different experience levels (Staff to Senior)
Ensured representation across user personas to capture varying needs and behaviors
Applied behavioral psychology principles to understand resistance to workflow changes
Key Research Methods:
Contextual Inquiry: Observed how users integrated (or didn't integrate) new tools into existing processes
Task Analysis: Mapped current vs. proposed workflows to identify friction points
Psychological Barriers Assessment: Applied change management theory to understand adoption resistance
Critical Insights Discovered:
Awareness Gap: Users weren't aware the feature existed - a classic discoverability problem
Mental Model Mismatch: Users didn't understand the data flow between systems, creating uncertainty
Process Integration Challenges: The tool didn't fit into established team workflows and timing
Customization Needs: Professional requirements varied significantly between clients, but the tool was too rigid
Research-Driven Recommendations
Based on findings, I proposed solutions addressing both psychological and practical barriers:
Immediate Wins:
Integration into existing templates and question banks (addressing discoverability)
Clear data flow documentation (reducing cognitive load)
Automated migration prompts for existing projects (reducing manual effort)
Long-term Solutions:
Customizable field options to meet varying client needs
"Smart" roll-forward capabilities to demonstrate clear value over Excel
Training program focusing on workflow integration rather than just feature explanation
Impact & Validation
Research findings directly informed product roadmap priorities
Identified that 60% of adoption barriers were process-related, not feature-related
Recommendations led to the development of automated roll-forward functionality
Established framework for future feature adoption research