How would you explain complex algorithms to a non-technical project manager in Computer Science?

I simplify the concept using analogies and focus on the problem the algorithm solves, avoiding technical jargon to make it understandable.

Do we need to explain this at the first place? Use AI, avoid complexity. In the future we might not need this complexity of understanding algorithms

To explain complex algorithms to a non-technical project manager, focus on the "big picture." Describe the problem the algorithm solves and its goal. For example, "This algorithm helps us sort data faster" or "It finds the best route between locations." Avoid technical jargon—use analogies like, "Think of it like organizing books on a shelf" or "It's like following a map to get to your destination." Also, highlight the impact—how it improves efficiency, saves time, or enhances the product experience. Keep it simple and relatable!

When explaining complex algorithms to a non-technical project manager, I focus on simplifying concepts without overwhelming them with technical details. I describe the algorithm in terms of the problem it addresses, the logical steps it follows, and the practical benefits it delivers. Where possible, I use real-world analogies, such as comparing a search algorithm to finding a name in a phone directory. Visual tools like diagrams, flowcharts, or simple models help bridge understanding. I encourage open dialogue to ensure clarity and adjust explanations based on their perspective, ensuring alignment with project goals

Keep it friendly, keep it simple, and always connect it to things they already know. Speak like you're explaining to a friend clarity always wins.

Use simpler terms. Utilize visual aids like graphs or charts and relate them to business impacts such as yield loss or cost increase.

Exactly! Explaining algorithms in simple terms helps non-technical stakeholders understand their impact on project timelines and performance, facilitating better collaboration and decision-making.

I completely agree with this. Using too much technical jargon can definitely intimidate the audience and create barriers that don’t need to be there. Simplifying things is so important, especially as a business analyst — we need to make sure that what we’re delivering is not only understood, but also practical and achievable within the audience’s timelines and budgets. Focusing on the real-world implications, just like you mentioned, makes collaboration smoother and keeps everyone aligned on what actually matters.

Great point! Using simple analogies like a recipe makes complex algorithms understandable by focusing on the purpose and sequence of each step, making it easier for non-technical stakeholders to grasp.

Try to simplify the algorithms into manageable and understandable steps. Explaining each part of the algorithm and its impact or contribution in resolving the problem.

I think complex algo can be explained using real-world examples much easier than other approach. Although, the answer cannot be a binary. Complex algorithms can be explained using simple, real-world examples. For instance, a sorting algorithm is like organizing a messy bookshelf by splitting it into smaller sections, sorting each one, and combining them in order. Similarly, a pathfinding algorithm, like GPS navigation, finds the shortest and most efficient route to a destination.