/ Credit for Platform-Based Gig Workers / Define
Research Synthesis
Following data collection, a structured synthesis process was conducted to extract patterns, themes, and actionable insights from the interviews and activities.
Affinity Mapping
- Raw data was organized into clusters, identifying recurring behavioural themes such as trust in financial institutions, digital adoption, savings habits, and credit preferences.
- Contrasts between Pro Users and Non-Pro Users were highlighted to pinpoint edge cases and mainstream behaviour.
Pruning & Refinement
Data was filtered for significance, ensuring that insights reflect clear behavioural trends rather than isolated incidents.
Outlier cases were assessed for their relevance in signaling emerging financial behaviours or systemic gaps.
Interpretation & Insight Formation
Findings were used to identify opportunity areas for financial product design and policy interventions.
Key takeaways were framed within actionable problem statements, informing the next stage of concept validation and prototyping.