How do you justify your recommendations with data?

2 Choose relevant data

The next step is to select the data that supports your recommendations and shows why they are the best option among alternatives. You don't need to include every piece of data you have, but only the ones that are relevant, reliable, and convincing. For example, if you are recommending a new marketing strategy, you may want to use data that shows the current market trends, the customer feedback, and the projected outcomes. You also need to make sure that your data sources are credible, accurate, and up-to-date. You can do this by citing your sources, checking for errors, and using reputable tools and methods.

3 Explain your analysis

The third step is to explain how you analyzed the data and derived your recommendations. You need to show the logic and process behind your decision-making, and how you considered different factors and scenarios. You also need to address any assumptions, limitations, or uncertainties that may affect your analysis. For example, if you are recommending a new product launch, you may want to explain how you segmented the market, how you tested the product features, and how you estimated the demand and profitability. You can do this by using clear and concise language, showing your calculations and formulas, and using charts and graphs to illustrate your points.

5 Tell a story

The fifth step is to tell a story that connects your recommendations and data to your audience's goals and emotions. You need to make your message memorable and compelling, and show how your recommendations will benefit your audience and solve their problems. You also need to use a clear and logical structure, and guide your audience through your reasoning and evidence. For example, if you are recommending a new software system, you may want to tell a story of how it will improve the workflow, the quality, and the customer satisfaction. You can do this by using a catchy introduction, a problem-solution framework, and a call to action.

6 Get feedback

The final step is to get feedback on your recommendations and data from your audience and other stakeholders. You need to listen to their opinions and questions, and respond with respect and confidence. You also need to be open to constructive criticism and suggestions, and be willing to revise or improve your recommendations and data if needed. For example, if you are recommending a new pricing strategy, you may want to get feedback from your sales team, your competitors, and your customers. You can do this by asking for feedback, conducting surveys or tests, and measuring the results and impacts.

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?