First thing is to bring differences on the table to brainstorm and hear from all parties. No decisions made. Second - Once theories are heard we shift towards data facts/logs/repro to further narrow down the problem. Third - With data in hand/repro we would surely end up having consensus. At this point we reconsider all theories discussed earlier as every feedback is valuable.This brain storming session helps us stitch all dots together. Fourth - do a retrospective of the issue to see what went wrong and what could have been better done to firstly mitigate the issue or reduce impact. Finally track, monitor and implement learnings from above step with team members engaged.

Give each member of the team and equal opportunity to proof their opinions about the cause of the network issue. Gather enough facts from the team and allow discussions among the team members. Lab simulations can be done and issue can be simulated again to ensure that the RCA is clear to prevent reoccurrence of the network issue. The team lead should take charge and ensure ensure the discussion are fair enough.

To resolve a network issue when opinions differ, I gather the team for an open discussion, encouraging each person to share their insights to uncover potential causes. Next, we rely on data-driven analysis by examining logs and using network monitoring tools, letting facts guide the conversation. I often pair team members with differing views to troubleshoot together, promoting collaboration. We then establish a structured testing process to validate each hypothesis objectively. If a consensus isn't reached, I make a data-backed decision, valuing everyone’s input to foster unity. This approach ensures a balanced and efficient resolution.