To rebuild trust when questioned about data sources, be transparent and clearly explain their reliability and validation process. Offer to share the data or methodologies behind your findings. This openness helps assure your audience of the accuracy and integrity of your information.

When your data sources are questioned by the audience, it is crucial to address this early on and work with the audience to prevent doubts from growing. If you don’t, it may become more difficult to regain their trust later. First, it’s important to process any emotions, especially if the feedback comes from an individual. Then, focus on rebuilding trust without becoming defensive or aggressive. Allow the audience to have their opinion and respect it. Be transparent about your sources, why they were chosen, and how they were verified. If it’s your personal opinion, clearly state it. Continue engaging with the audience, answering questions, listening, and showing openness to dialogue.

Comparte los avances de tu análisis y exploración con otras persona, siempre habrá alguien que tenga una sensibilidad mayor a la data y sus fuentes. Hacer esa tarea en paralelo es estratégico.

I like to make sure I have my source as a footnote on data slides. This way, I can quickly direct audience members to the source. I also make sure that the sources are credible. Are they from a reliable institution? If I discovered them on a blog or other web source, does that page have a link to a reputable source for their data. And, for now, whatever you do, do not trust ChatGPT to pull data for you. It's unreliable. If you prepare correctly, you can build credibility and trust within the audience, even if they are questioning you.