
Last week was about market research and mitigating risk. This week we will think about market research as it relates to decision criteria, security guards, and setting up a velvet rope. Somewhere in our life we have all probably ran into a situation with a security guard and a velvet rope. Security uses a velvet rope or some kind of tape to set up some parameters and borders. The security guard then works the entrance. They are given criteria to examine, such as a valid driver’s license. If the person meets the criteria they are admitted. If they do not meet the criteria they are turned away. It’s that simple.
You’re probably wondering what this has to do with market research and work for that matter. Market research isn’t about asking questions for the sake of asking questions. Market research is about trying to help the business make better decisions. Over time I’ve learned that if you want to make quick, efficient, and quality decisions, you need to establish clear decision criteria. Essentially, you need to become a security guard. You need to set up your velvet rope and only let things through that meet that criteria. (That’s right. I consider myself a market research bouncer. The picture to the right is me if I lost some of my muscles.)
Embry failure and learning example. Last month the brand team tested some new data with customers. We had to make a decision on whether or not to share the data with customers in the market. In the beginning of the project I didn’t set up clear decision making criteria, so we swirled a bit whenever we talked about how the research was going (#Embryfailure). The swirling was a waste of time and didn’t get us closer to making any decisions. Then, I finally realized that I needed to set up some decision criteria to help us decide whether this data “worked” with customers or not. With that in mind we decided that in order for the data to “work” it would need to meet three requirements.
- Accept– Customers would have to accept the data as something that could be true.
- Resonate– The data had to cause customers to think more positively about Trulicity.
- Implement– We had to feel confident that we could implement around any customer concerns.
We even took it a step further to establish the criteria that would have to be met for each of those three components. For example, for Accept customers had to accept the data could be true over all, was representative of their practice, and was high enough quality that they would accept the data as being factually accurate. What I soon noticed was that as soon as we had clear decision criteria, it became easier to decide if something worked or not. The decision criteria gave us a framework for making the decision and for talking about the decision. Overall, it became a lot easier to decide whether or not we should let the data past our velvet rope and into our club (#Embrylearning).
The challenge- Think about your role. Are you setting up clear decision criteria to help drive quick, efficient, and quality decisions?
Have a jolly good day,
Andrew Embry








