You want proof? So do we.

Lasting, statistically-significant improvement in innovation skills.

Most people who try to improve how people work offer workshops that get people really excited for about a week, but don’t actually have long lasting effect. Sometimes people become more aware of a topic but rarely do they actually develop skills they continue to use long after the training is over. To prove that our approach is unlike any other, we conduct assessments pre-and-post training. This is how we know that the training is valuable immediately, and the effect is long lasting.

One of the ways we prove that they material and the way we teach it improves how the team operates is by analyzing the change in the team’s self-efficacy for skills related to innovation. Basically it means we measure how much their confidence improves for a variety of skills that we don’t explicitly teach in the class but which they develop as a result of learning the material.

The reason we do this is because there’s a huge body of research that shows that the single most important factor for predicting future success is having a high level of self-efficacy.

Below you can see this chart that shows change in scores they reported immediately after the training. They scored themselves on a 100 point scale, and the average increases were between 12 and 26 points. We’ve also included P values for each score, (remember, we’re the Data-Driven Innovation Company), and if you’re not familiar with statistics, the P value is a way to show that a particular score is actually the result of the training rather than just happening randomly. In research we look for P values that are less than .05. The smaller the number, the stronger the significance. One of the scores has a P value of .0006 (which is crazy small and therefore extremely significant).

We love seeing these results and as you read through this set of skills you might find that some may be particularly valuable to to your organization, such as number 5 “Help team members arguing for very different strategies arrive at a choice they can all support” (+19.7 points, P <.0006), for example.

You might be thinking “yeah, of course they’re excited right after the training, but does it last?” So we did another test. Scroll down for the results of the follow-up.

The 4-Month Follow-Up Study

We went back to the same group 4 months later and had them re-assess their self-efficacy. During that time we never spoke to any of them, followed up with them, or provided access to the results of their self-efficacy assessments. You can see that the effect was maintained 4 months later!  This is how we know that our methodologies for assessing and improving innovation skills has enormous impact.  

Want to know more? Contact Us and see how Quantified Innovation could transform your organization.