How do you typically generate recommendations?

Our reader poll today asks: How do you typically generate recommendations?

– I start with the data and see what insights come out: 63%

– I start with a hypothesis, then prove/disprove it with data: 37%

Step Away from the Data. While it may feel natural to start with data then look for insights, that approach is inefficient and often ineffective. It’s easy to get lost in the data and not have a clear sense for what recommendation you’re trying to make. That approach also leads to excessively complex presentations full of data but lacking clear insights. I’d suggest taking a hypothesis-driven approach. Think about what you’re trying to prove or disprove then look at the data objectively to make your case. You’ll be more focused in your efforts and your ultimate recommendation will be clearer and easier to understand.

Do you agree with these poll results? Let us know in the comments below!

– Mike Figliuolo at thoughtLEADERS, LLC

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These results were originally a SmartPulse poll in SmartBrief on Leadership which tracks feedback from more than 200,000 business leaders. Get smarter on leadership and sign up for the SmartBrief on Leadership e-newsletter.