The Ultimate Machine Learning Product Checklist

The Ultimate Machine Learning Product Checklist

Use 7 simple questions to find machine learning opportunities, even without any technical knowledge. I like to use a dead simple checklist which, in my opinion, any non-techy product manager can use, to spot whether a business opportunity lends itself to machine learning or not.

Use 7 simple questions to find Machine Learning opportunities, even without any technical knowledge.

Machine learning, AI, Data Science all carry lots of scary and complicated concepts like deep neural networks, cross-entropy, optimization….

Enough scary words to scare off any product manager but the really tech-savvy from even thinking about integrating machine learning into their products at all.

But that, in turn, makes it hard for a company to get all the value out of their machine learning engineers if most product managers shy away from employing them.

I like to use a dead simple checklist which, in my opinion, any non-techy product manager can use, to spot whether a business opportunity lends itself to machine learning or not.

I’ll explain each point with examples below. But first, here is the complete checklist.

The Machine Learning Opportunity Checklist

If I see something that involves data, and kind of looks like machine learning or statistics/optimization, I go on and ask myself four questions.

What makes a machine learning opportunity?

  1. Do small improvements count? Does your opportunity pay off, when there is a <10% increase in something?
  2. Does it involve “always the same stuff”? Does someone have to do the same thing again and again? Does a machine work through long if-then statements? Are there manual workarounds for the “if-then” failures of the machine?
  3. Does the opportunity need expert knowledge? Does the opportunity need personalization?
  4. Does the opportunity involve scaling problems due to some manual bottleneck? Does the data behind it grow exponentially?

One Yes is enough to identify an opportunity!

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