Presenting Data Effectively in Stakeholder Negotiations

Many amazing presenters fall into the trap of believing their data will speak for itself. But it never does… Our brains aren't spreadsheets, they're story processors. You may understand the importance of your data, but don't assume others do too. The truth is, data alone doesn't persuade…but the impact it has on your audience's lives does. Your job is to tell that story in your presentation. Here are a few steps to help transform your data into a story: 1. Formulate your Data Point of View. Your "DataPOV" is the big idea that all your data supports. It's not a finding; it's a clear recommendation based on what the data is telling you. Instead of "Our turnover rate increased 15% this quarter," your DataPOV might be "We need to invest $200K in management training because exit interviews show poor leadership is causing $1.2M in turnover costs." This becomes the north star for every slide, chart, and talking point. 2. Turn your DataPOV into a narrative arc. Build a complete story structure that moves from "what is" to "what could be." Open with current reality (supported by your data), build tension by showing what's at stake if nothing changes, then resolve with your recommended action. Every data point should advance this narrative, not just exist as isolated information. 3. Know your audience's decision-making role. Tailor your story based on whether your audience is a decision-maker, influencer, or implementer. Executives want clear implications and next steps. Match your storytelling pattern to their role and what you need from them. 4. Humanize your data. Behind every data point is a person with hopes, challenges, and aspirations. Instead of saying "60% of users requested this feature," share how specific individuals are struggling without it. The difference between being heard and being remembered comes down to this simple shift from stats to stories. Next time you're preparing to present data, ask yourself: "Is this just a data dump, or am I guiding my audience toward a new way of thinking?" #DataStorytelling #LeadershipCommunication #CommunicationSkills

90% of data presentations fail to drive decisions Most professionals focus purely on data quality. But even perfect data fails without effective translation. Numbers are a foreign language to human brains. We evolved to understand experiences, not statistics. Transform your data presentations: Remove meaningless comparisons like "5 Empire State Buildings" Replace percentages with human scales: - "47% increase in costs" becomes "Every $2 now costs $3" - "14% of employees" becomes "1 in 7 team members" - "20% efficiency gain" becomes "saving 1 full day per week" Connect numbers to business impact: - Link metrics to current priorities - Show immediate implications - Demonstrate practical value My team implemented this framework last quarter: - Proposal approvals tripled - Meeting time decreased 50% - Decision cycles shortened by 4 days Start translating your data into human experiences. Your audience deserves clarity, not just accuracy.

Imagine you've performed an in-depth analysis and uncovered an incredible insight. You’re now excited to share your findings with an influential group of stakeholders. You’ve been meticulous, eliminating biases, double-checking your logic, and ensuring your conclusions are sound. But even with all this diligence, there’s one common pitfall that could diminish the impact of your insights: information overload. In our excitement, we sometimes flood stakeholders with excessive details, dense reports, cluttered dashboards, and long presentations filled with too much information. The result is confusion, disengagement, and inaction. Insights are not our children, we don’t have to love them equally. To truly drive action, we must isolate and emphasize the insights that matter most—those that directly address the problem statement and have the highest impact. Here’s how to present insights effectively to ensure clarity, engagement, and action: ✅ Start with the Problem – Frame your insights around the problem statement. If stakeholders don’t see the relevance, they won’t care about the data. ✅ Prioritize Key Insights – Not all insights are created equal. Share only the most impactful findings that directly influence decision-making. ✅ Tell a Story, Not Just Show Data– Structure your presentation as a narrative: What was the challenge? What did the data reveal? What should be done next? A well-crafted story is more memorable than a raw data dump. ✅ Use Clean, Intuitive Visuals – Data-heavy slides and cluttered dashboards overwhelm stakeholders. Use simple, insightful charts that highlight key takeaways at a glance. ✅ Make Your Recommendations Clear– Insights without action are meaningless. End with specific, actionable recommendations to guide decision-making. ✅ Encourage Dialogue, Not Just Presentation – Effective communication is a two-way street. Invite questions and discussions to ensure buy-in from stakeholders. ✅ Less is More– Sometimes, one well-presented insight can be more powerful than ten slides of analysis. Keep it concise, impactful, and decision-focused. Before presenting, ask yourself: Am I providing clarity or creating confusion? The best insights don’t just inform—they inspire action. What strategies do you use to make your insights more actionable? Let’s discuss! P.S: I've shared a dashboard I reviewed recently, and thought it was overloaded and not actionably created

You just got a new job as marketing operations leader and your top priority is making the department more efficient. Where should you start? 1. Acknowledge that you can’t track efficiency without data. If you’re not measuring, you can’t get a sense of where your problems lie. - You need to know how much you’re spending on marketing campaigns to see if your cost per conversion is increasing YoY. - You need to know how much you’re spending on SEO, the traffic impact, and the conversion rate to tell if it’s a worthwhile investment. - You need to know how long it takes to launch a campaign to see if your campaign development process is getting faster. At Scoop last week, we launched two campaigns in one day. We used detailed tracking to connect the traffic spike to the campaign that drove the engagement so we could see what was most effective (it was Alexandria Ryman's marketing email that drove a surge). Sometimes it’s easy to measure. You can easily see what traffic is driven to your website from someone clicking a blog post link, for example. Sometimes it’s harder, like when someone saw a LinkedIn ad, and then a month later search 'em up on Google to buy — was it LinkedIn that led them to you or Google? 2. Prioritize by impact Once you’ve got data in front of you, you need to sort out your priorities by what’s going to have the most influence on your department’s efficiency. Start by finding the largest gaps and the largest opportunities for increase in ROI. When you’ve flagged that in the data, you can get curious about why that change happened. Maybe your employee retention rate has dropped significantly since 2021. Your team hasn’t been in the same room for two years — could that be why folks aren’t sticking around? Sorting out operational efficiency priorities feels like an impossible task, but organizing your data by impact is a great starting point. 3. Use data to make your argument You probably can’t implement initiatives alone, so you’re going to need to get stakeholder buy-in. Before you make your argument, think through what sort of concerns they might have. - How much money is there to be gained by heading in the direction you’re advocating for? - Why would this be a marketing problem and not a sales problem? - How did you come to this conclusion? Then, pull data that squashes their concerns before they even have the chance to express them. 4. Present that data effectively The final step to making a convincing argument is data presentation — and a convoluted spreadsheet isn’t going to cut it. You need to let the data shine in the simplest way possible. If you’re looking at a wall of numbers, it’s hard to tell — is that a percent change? Is a 2% shift versus a 12% shift a big deal? Do we need to look at data over the last year or over the last quarter? This final step — the presentation — is how you make sure your findings resonate with the right stakeholders.