This combined introduction-and-summary micro-module defines why truthful data stories matter, shows the risks of even small distortions, and walks learners through a short “good vs. bad report” practice. Participants finish with concrete habits—triangulating sources, flagging uncertainty, visualizing transparently, and inviting peer review—that build trust and confidence in every presentation.

This single micro-lesson introduces—and then immediately consolidates—the core practices for presenting disappointing data without fear. Learners will explore how to efficiently gather and analyze information, frame findings around opportunities for improvement, craft solution-focused recommendations, use digital tools to illustrate key points, and practice self-aware delivery techniques. By the end, they will feel ready to communicate “bad news” data constructively and professionally.

This single, bite-sized module welcomes you to the course and then guides you—start to finish—through a proven "acknowledge → explain → suggest" structure for presenting mixed or negative results. You will practice transparent, blame-free language; apply logical analysis to craft solution-focused recommendations; leverage digital tools for clear visualization; and finish by reflecting on personal confidence techniques to stand firmly behind your data insights. A closing recap consolidates key takeaways and next steps.

Learning Management System — NPS