How can you use data and analytics to support your pitch without overwhelming stakeholders?

1 Know your audience

The first step to using data and analytics to support your pitch is to know your audience. Different stakeholders have different goals, needs, and expectations from your product. For example, investors may be more interested in your market size, growth potential, and revenue model, while customers may be more interested in your product features, benefits, and user experience. Therefore, you need to tailor your data and analytics to match your audience's interests and concerns. You can do this by researching your audience, understanding their pain points, and anticipating their questions. This will help you select the most relevant and persuasive data and analytics for your pitch.

2 Choose the right data and analytics

The second step to using data and analytics to support your pitch is to choose the right data and analytics. You don't want to overwhelm your audience, but you do need enough information to back up your claims. To ensure the data and analytics you use are credible, reliable, and up-to-date, it's best to use primary data and analytics as much as possible. These are the ones that you collect or generate yourself, such as user feedback or experiments. Additionally, you should use both quantitative and qualitative data and analytics. Quantitative data and analytics are expressed in numbers, while qualitative data and analytics are expressed in words. Lastly, comparative data and analytics can help show how your product compares to others in the market, such as competitors or alternatives. This can help you demonstrate your competitive advantage.

4 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?