Barrier Analysis plugin for ChatGPT
Justin Germishuys
Founder at Germinotion | Combining AI with learning and behavioural design | Learning & Behavioural Designer
I've been building ChatGPT plugins to support a variety of reasoning processes. In this article, I'll run through a plugin I've been developing for behavioural barrier analysis. It's still a prototype, but it's already quite handy.
But before getting to the demo, first some context.
What is behavioural barrier analysis?
Many solutions require people to adopt or change a behaviour. Whether it's encouraging people to recycle, engage in a learning experience, adopt a healthier lifestyle, or use a new software tool, understanding the 'why not' can be as important as the 'how to'.
At its core, behavioural barrier analysis is a systematic approach to understanding the obstacles that prevent individuals or groups from adopting a desired behaviour. These barriers can be psychological, social, economic, or environmental, just to mention a few. By identifying these barriers correctly, we can develop strategies to overcome them, making it easier for people to change their behaviour.
Easier said than done.
Why build a ChatGPT plugin?
Barrier analysis is an important step in a solution design process. If it's not done properly (or at all), we risk wasting a lot of time and money trying to solve the wrong problems. And we risk making matters worse.
But barrier analysis is difficult. For any desired behaviour, the number of possible barriers to consider can be overwhelming. Not only that, but the intricacies and interconnections between these barriers can be complex and multifaceted. And not only that, but relevant barriers are often different for different people.
It's a lot to consider. Even with simplifying models and frameworks, it's still a lot to consider. When faced with a large number of possibilities or a high degree of complexity, people tend to become tired, bored or overwhelmed. Because of this, barrier analysis is often limited or biased.
As you'll see below, a ChatGPT plugin makes it possible to use GPT-4 (currently the most capable LLM) to lend structured reasoning and imagination support. The user doesn't need to know how to prompt and they also don't have to have a deep pre-existing knowledge of different frameworks. This helps to make barrier analysis more accessible.
Also, a plugin works out much, much cheaper than an app using the API and it's possible to chain multiple plugins without having to worry about integration.
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The demo
Have a look and let me know what you think in the comments.
Leadership & Org Dev Leader | Director @ NRG Vivint | MBA Fellow | Driving Team Performance, Strategic Growth, and Organizational Excellence | Partnering with Executives to Solve Complex Business Challenges
1 å¹´Incredible!! Thank you for sharing!
Growth Instigator | Learning & Leadership Development Specialist | Neuroscience-based Coach
1 å¹´Very cool! This is helpful and seems fairly easy to use. I wonder about how much the answers change based on the model. I also wonder about in the final step being able to transition into brainstorming about ways to engage the barriers. And finally I wonder about the ability to tweak some of the outputs, ie utilize the conversational aspect of the LLM to hone in on particular aspects of a model and ask for different responses or for it to include an additional piece of information. This is really promising though!
Drive more healthy actions with behavioral design ? Training and consulting for healthcare marketing and CX
1 å¹´This is fascinating, Justin Germishuys. Thanks for sharing! Can you say more about what instructions you have included in the plugin or what process you are asking Chat GPT to follow? Or maybe you already have an article where you have documented your process that you could share. Robin Krieglstein - I know you would be interested in this.
Founder at Germinotion | Combining AI with learning and behavioural design | Learning & Behavioural Designer
1 å¹´Robert Meza, since you post quite a lot about reasoning support frameworks, I thought you might find this interesting. I'd be interested to hear what you think. Sparky Witte, I said a few months ago that I'd tell you more about this AI barrier analysis project. Sorry I forgot, but here you go.