What do you do if your statistical findings aren't convincing decision-makers?

1 Clarify Goals

Understanding the goals and concerns of decision-makers is crucial in presenting statistical findings. If your analysis doesn't align with their priorities, it's likely to be disregarded. Take the time to discuss what they aim to achieve and what information they consider most valuable. By tailoring your findings to these objectives, you can make your statistics more relevant and compelling, thereby increasing the likelihood that they will influence the decision-making process.

2 Simplify Data

Complex statistical data can be overwhelming. To make your findings more accessible, distill them into simpler concepts without losing their significance. Use clear visuals like graphs and charts to illustrate your points and avoid jargon that might confuse non-experts. By simplifying the data, you help decision-makers grasp the implications of your findings quickly and clearly, which can go a long way in convincing them.

3 Build a Narrative

Statistics tell a story, and your job is to narrate it compellingly. Connect the dots between the data and the real-world impact it suggests. Use examples and analogies that resonate with your audience's experiences. A well-crafted narrative can transform cold numbers into a persuasive argument that highlights the importance and urgency of your findings.

4 Address Skepticism

Anticipate skepticism and prepare to address it head-on. If decision-makers question your methods or conclusions, be ready to explain your methodology and defend the validity of your findings. Demonstrating confidence and competence in your analysis can help alleviate doubts and build trust in your expertise.

5 Offer Solutions

Decision-makers want actionable insights, not just data. Go beyond presenting problems by suggesting practical solutions backed by your statistical findings. Show how the data informs these solutions and the potential benefits of implementing them. By providing a clear path forward, you increase the chances that your statistics will lead to decisive action.

6 Follow Up

Finally, stay engaged after presenting your findings. Follow up with decision-makers to answer any lingering questions and offer further assistance in interpreting the data. Your ongoing support can reinforce the value of your analysis and keep the conversation moving towards a productive conclusion.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?