Present the data clearly and objectively, emphasizing its accuracy and reliability. Explain the methodology and reasoning behind the analysis. Address potential concerns respectfully and offer constructive solutions or alternatives. Keep communication open, transparent, and focused on common goals to rebuild trust and manage expectations effectively. ??

When analysis contradicts a client’s expectations, start by validating their perspective. Then, walk them through the data step by step, highlighting key insights. Focus on reframing the discussion around opportunities revealed by the new findings.

In many cases clients' perceptions is not in alignment with the research results. It should be clarified that it is a source of improvement and a proactive change in strategic plans. The more they are realistic the more successful they are.

Preparing in advance for objections that might be raised during the conversation with the client. I would also recommend practice your narrative and your tonality. That can make the conversation positive. Acknowledge the clients assumptions and explain the value of the new insights. Validate their concerns. Simple things like "I can understand why this might come as a surprise..." shows empathy. B open to feedback from the client. Ask questions, like "does this align with your insights?" Being genuinely collaboratively in a situation like this helps. The client will also appreciate your openness.

It helps to share your perspective in the form of story telling where the data links logic ,facts ,impact ,relevance to the problem statement and risk / gains