Image From Raw Data to Clarity-Cleaning, Sorting, and Synthesising Insights
Briefly

Synthesising qualitative data is akin to harvesting the fruits of research labour, where raw data transforms into actionable insights. The article emphasizes centralising all research data in accessible tools like Notion and Airtable, which promotes team collaboration and maintains confidentiality. It advocates for using affinity diagrams to compile and organise insights from exploratory studies, such as user interviews, turning observations into atomic notes for clarity. This process aids in prioritising findings and effectively communicating them to stakeholders, bridging the gap between observation and action.
Synthesising qualitative data is essential as it transforms scattered information into clear insights that can effectively inform product strategy.
Using tools like Airtable enhances data centralisation, ensuring team efficiency while maintaining the confidentiality of sensitive research data.
Read at Medium
[
|
]