What do you do if non-technical stakeholders struggle to understand complex algorithms?

1 Simplify Concepts

Start by breaking down the algorithm into its most basic components. Just as a complex machine is made up of simpler parts, an algorithm can be understood as a series of steps or rules. Explain these steps one by one in plain language, avoiding jargon. Use analogies that relate to everyday experiences to make the concepts more relatable. For example, you could compare a sorting algorithm to the way a person organizes a hand of playing cards – looking for patterns and arranging them in a certain order.

2 Visual Aids

Visual aids can be incredibly effective in explaining complex algorithms. Create diagrams or flowcharts that map out the algorithm's process. This can help stakeholders visualize the sequence of actions and understand how each step leads to the next. You can use different shapes and colors to represent various parts of the algorithm or data flow, making the information more digestible. Remember, a picture is worth a thousand words, especially when it comes to abstract concepts.

3 Real-world Examples

Use real-world examples to demonstrate how the algorithm operates in practical scenarios. Choose examples that are relevant to the stakeholders' experiences or business objectives. By showing how the algorithm affects outcomes they care about, you help them connect the dots between the technical process and its real-world implications. This tangible connection can make the algorithm seem less like a black box and more like a tool they can appreciate and discuss.

4 Focus on Benefits

Shift the focus from how the algorithm works to what it achieves. Stakeholders are often more interested in the results and benefits than the technical details. Highlight the value the algorithm brings, such as increased efficiency, cost savings, or improved accuracy. Explain these benefits in terms of business objectives, which will resonate more with non-technical stakeholders and help them see why the algorithm is important.

5 Interactive Demos

If possible, create an interactive demo or simulation of the algorithm in action. This allows stakeholders to see the results of different inputs and understand the decision-making process of the algorithm. Through trial and error within the demo, they can gain insights into how the algorithm behaves under various conditions. This experiential learning can be far more effective than theoretical explanations.

6 Continuous Dialogue

Maintain an open channel for questions and discussions. Non-technical stakeholders may need time to digest the information and will likely have questions as they begin to apply their understanding. Encourage them to ask questions, no matter how basic they may seem. Regularly check in with them to clarify doubts and discuss how the algorithm impacts their work. This ongoing dialogue fosters a collaborative environment where everyone feels comfortable engaging with complex topics.

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?