In my experience, the doubt comes in when we make things complex. To mitigate this, I follow an iterative process, starting with small and simple things and slowly building on that to cover more complex things. This process goes hand in hand with making data and analytics simple and easy to interpret and correlate what you are showing with the raw data used to create the visuals.

I’d break it down in simple terms, show the data sources, and walk them through the logic step by step. If needed, I’d tweak the model to include their feedback—it’s about collaboration, not confrontation. Letting them see the math builds trust and confidence! 📊🤝✅

I prefer to calculate ROI together with customer. Good trust building at the beginning is needed, so customer can by honest with me. Only Customer really knows, what are his costs and hidden costs. ROICalculation „without customer“ always stay very theoretical and unreal…

To address the client's doubts about ROI calculations, I would: Provide Transparency: Share the detailed methodology, data sources, and assumptions used in the analysis. Validate Accuracy: Cross-check calculations and offer a step-by-step walkthrough to ensure clarity. Align with Objectives: Highlight how the calculations align with their specific goals and benchmarks. Offer Comparisons: Present case studies or industry benchmarks for context and credibility. Encourage Dialogue: Invite feedback or questions to address specific concerns and refine the analysis if needed. This approach ensures trust and demonstrates commitment to accuracy and client satisfaction.