It's exciting to think about all of the tasks and processes that might be automated with custom GPTs... but which tasks, exactly? And where should you start?
In this tutorial, we'll guide you through some helpful steps to brainstorm custom GPT ideas that will be most relevant for your business.
After you've listed out the most promising ideas, you'll have a better vision for what it is that you're trying to build, what role you hope it can play in your business, and some more solid footing for improving your custom GPTs over time.
Before brainstorming, you must first understand what you want to achieve. Do you want to reduce the time spent on customer inquiries, create content more efficiently, or improve user engagement? Also, list your current pain points—these are often the areas that stand to gain the most from automation and AI assistance.
Create a visual mapping of your current business processes. Include everything from customer acquisition to sales and post-sales support. This will help you pinpoint areas where a custom GPT could either augment or automate parts of these processes.
Understand what GPTs are capable of. They can generate text, answer questions, summarize information, translate languages, and much more. Determine which of these capabilities align with the needs you identified in Step 1.
Gather your team for an idea generation session. It can be helpful to use brainstorming techniques like mind mapping, SWOT analysis, or the SCAMPER method. Encourage creativity and free thinking, and remember, no idea is too "out there" in the early stages.
Investigate how other businesses in your industry or related fields are using GPTs. Inspiration can come from case studies, research papers, or articles on the latest AI innovations.
From your brainstorming session, compile a list of potential uses for custom GPTs in your business. Some ideas might be:
With your list of ideas, evaluate each based on factors like potential impact, feasibility, and return on investment. This will help you prioritize which custom GPT ideas to develop first.
Choose one or two top ideas and start prototyping. Begin with a simple model and scale it up as you test and receive feedback. This phase is crucial for understanding the practicality and effectiveness of your custom GPTs.
Based on the test results, iterate on your prototypes. Improve your GPT's instructions and Knowledge, tweak its integration into your processes, and refine it until you have a robust custom GPT that serves your needs.
Create a detailed plan for implementing the successful custom GPT idea into your day-to-day operations. Consider the technical requirements, budget, and timeline for rollout.
If you're looking for some more concrete ideas to get you started, check out our Blueprints library for detailed guides and examples on how to build your own custom GPTs.