I was recently asked to come up with a Sprint plan to identify opportunities within the climate Tech space and I thought I might try to throw it at chat DPT and see what it came up with. So, I took a previous design’s brand that we ran and identified some of the key components and asked GPT using this design Sprint as an outline to come up with one related to climate for me. This was the initial prompt that I gave: ‘I need you to generate a Sprint plan that includes the following: a list of the most profitable market segments, a list of research on the top five ways companies can make money through sustainability initiatives, the most likely target audience, a list of three how might restatements, one to two product concepts based on those how might restatements, a user journey that walks through the product concept, testing protocol, and a list of competitor businesses, verticals, and products.’ It very quickly returned all of the things that I asked for in a single response. What I realized besides the fact that you can’t number very well was that I was thinking about the problem very broadly because I hadn’t really specified much context. So, I narrowed down my focus to the B2C model and wanted to give people tools to take their own actions to be more sustainably minded. I asked GPT, ‘What are five ways a software company that makes privacy and security products and family Tech products can help customers improve their carbon footprint?’ It gave me a list: use of energy efficient devices, tools for reducing energy consumption, encouraging the use of renewable energy, promoting sustainable practices, and offsetting carbon emissions. These to me are good broad stroke approaches that Mozilla could be advocating for. I then asked GPT, ‘What’s a good target audience segment?’ It told me that’s not a good question and I need to know more about the business model and the product in the market. But I gave it a stab anyway and came up with a list of potential target audience segments: environmentalists, health-conscious consumers, cost-conscious consumers, luxury consumers, etc. I chose the cost-conscious consumer as the target audience. I then asked GPT to generate product concepts and user journeys based on the target audience and the five ways to improve carbon footprint. It came back with a product concept called ‘Eco browsing’ which is a browser extension that helps internet users reduce their carbon footprint. It provided a user journey that walks through the product concept. I then asked GPT to find competitors to this product and it gave me a list of competitors. I also asked GPT to generate a Sprint plan, a lean UX hypothesis table, a project roadmap, marketing strategies, and innovation ideas. It provided comprehensive responses for each of these requests. Overall, using GPT to generate a Sprint plan for climate tech opportunities was a quick and efficient way to gather ideas and insights. It provided a framework for identifying market segments, researching sustainability initiatives, developing product concepts, and creating user journeys. It also offered suggestions for marketing strategies, competitor analysis, and innovation ideas. While there were some limitations and areas where further clarification was needed, GPT proved to be a valuable tool in the ideation and planning process.
