To ensure my team captures all necessary data points, I emphasize clear communication and structured processes. I provide comprehensive guidelines and checklists for data collection, ensuring everyone follows a consistent approach. Regular training sessions keep the team updated on best practices and tools. I also promote a peer review system, encouraging collaboration and feedback to catch any gaps or errors early. Finally, we conduct periodic audits to evaluate the completeness and accuracy of the data collected.

In such a scenario I would encourage the team to develop and build multiple revision strategies. Also I would ensure that the reward system is brought into practice as it aids better learning tendencies at the individual level.

We all know the importance of data and what it does for us, so as the benefits of data analysis. We know that to draw inference from data through analysis is also important. But in cases like this where a data member misses important data points could be so, I don't even know how describe it, you let me use the word "devastating". I work in a research institute so I know how disappointing that situation could be. So regular training where team members gets to understand the importance of accurate data collection. As I always say data directs our research, so getting the accurate way of obtaining it correctly is important than anything. In the trainings, practice should be key, every team member should practice collecting data accurately.

In such a scenario I would encourage the team to develop and build multiple revision strategies. Also I would ensure that the reward system is brought into practice as it aids better learning tendencies at the individual level.

Encourage open communication and make sure everyone feels comfortable asking questions or flagging concerns. A second set of eyes can often catch what’s been overlooked