How do you explain computer vision results to different stakeholders?

1 Know your audience

The first step is to know your audience and their level of technical expertise, interest, and expectations. For example, a client may want to know how computer vision can solve their business problem, a manager may want to know how computer vision can improve their performance metrics, and a user may want to know how computer vision can enhance their experience. Depending on your audience, you may need to adjust your language, tone, and level of detail. Use simple and clear terms, avoid jargon and acronyms, and provide examples and analogies.

2 Show the process

The second step is to show the process of how computer vision works and how you developed your model. You can use diagrams, flowcharts, or code snippets to illustrate the steps and components involved, such as data collection, preprocessing, training, testing, and deployment. You can also explain the challenges and limitations you faced, such as data quality, bias, privacy, or accuracy. Showing the process can help your audience understand the logic and rationale behind your model and its results.

3 Highlight the value

The third step is to highlight the value and impact of computer vision results and how they relate to your audience's goals and needs. You can use numbers, charts, or graphs to show the quantitative results, such as accuracy, precision, recall, or speed. You can also use images, videos, or demos to show the qualitative results, such as visual features, outputs, or interactions. Highlighting the value can help your audience appreciate the benefits and potential of computer vision and how it can improve their situation.

5 Invite feedback

The fifth step is to invite feedback and suggestions from your audience on how to improve or refine your computer vision results and how to make them more useful or relevant. You can ask open-ended questions, conduct surveys, or create forums to collect feedback and opinions from your audience. You can also show your willingness to learn, adapt, and collaborate with your audience to achieve better results. Inviting feedback can help you build rapport and engagement with your audience and foster a culture of innovation and learning.

6 Summarize the key points

The sixth and final step is to summarize the key points and takeaways of your computer vision results and how they address your audience's problem, goal, or need. You can use bullet points, headlines, or slogans to highlight the main messages and outcomes of your computer vision model and its results. You can also restate the value and impact of computer vision and how it can make a difference for your audience. Summarizing the key points can help you reinforce your message and leave a lasting impression on your audience.

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?