Why Your Research Knowledge Will Not Survive the Next Resignation

Your head of research has been with the organisation for three years. They hold the thread that connects three years of research into a coherent understanding of your customers. When they leave, you will not just lose a researcher. You will lose the ability to interpret your own research history.

What Actually Gets Lost

The interpretive layer. A report from eighteen months ago says "participants expressed frustration with the account creation flow." The head of research knows that study was conducted during a site migration, that the sample skewed toward older demographics, and that the frustration was about password requirements that have since changed. Without that context, someone reading the report today would draw the wrong conclusions.

Ask your team: "If nobody from the current research team was available, could someone accurately interpret the findings from studies conducted two years ago using documentation alone?"

The cross-study synthesis. The real value emerges when findings are connected across studies. These syntheses rarely live in any document. They live in the researcher's understanding.

Ask your team: "Where are the cross-study patterns and themes documented?"

The methodological rationale. Why was a diary study chosen over interviews? Why was the sample restricted?

Ask your team: "For the last five studies, where is the rationale for the methodological choices documented?"

Why This Keeps Happening

Researchers are under pressure to deliver studies, not to document what they know. Building a structured knowledge base is important but never urgent.

Ask your team: "How long have we been planning to build or improve our research repository?"

What to Look For Right Now

Pick a product area. Ask the team to produce a complete research history from systems only, no asking people verbally.

The uncomfortable question: "If I had to hire a replacement, what materials would I give them on day one? Are those materials ready right now?"

What Solves It

Infrastructure that captures knowledge as a natural byproduct of the research process: findings tagged by theme and product area, connected to decisions, searchable by anyone, maintained without requiring a separate documentation effort.