Instead of immediately seeking interviews, founders can build an AI persona of their ideal customer. By feeding it documents and archetypes, they can rapidly query the persona to test value propositions, pricing, and features, compressing months of traditional customer discovery work into days.

Generic discovery questions like "what's your pain point?" yield generic answers. A better question is, "If you hired someone to sit next to you, what would you have them do?" This reveals the tedious, unglamorous tasks that are ripe for an automation-focused product solution.

To identify the most common questions about your product, query multiple LLMs (ChatGPT, Claude, Gemini, etc.) for the top questions in your category. The questions that appear across all platforms represent the most pressing pain points, which should guide your content and marketing strategy.

After deconstructing successful content into a playbook, build a master prompt. This prompt's function is to systematically interview you for the specific context, ideas, and details needed to generate new content that adheres to your proven, successful formula, effectively automating quality control.

Instead of manually sifting through overwhelming survey responses, input the raw data into an AI model. You can prompt it to identify distinct customer segments and generate detailed avatars—complete with pain points and desires—for each of your specific offers.

Instead of manual survey design, provide an AI with a list of hypotheses and context documents. It can generate a complete questionnaire, the platform-specific code file for deployment (e.g., for Qualtrics), and an analysis plan, compressing the user research setup process from days to minutes.

Before engaging with actual customers, AI tools can simulate interviews and generate likely objections, such as "This won’t fit my workflow." This allows product managers to walk into real interviews better prepared, knowing exactly which risky assumptions to test first and how to handle pushback.

Use AI on your own process to accelerate client work. Record discovery calls, generate transcripts, and feed them into an LLM. Ask it to identify the highest-value automation opportunities and map out the step-by-step workflow based on the client's own words.

Consistently feed your AI tool information about your company, products, and sales approach. Over time, it will learn this context and automatically tailor its sales prep output, connecting a prospect's likely problems directly to your specific solutions without needing to be reprompted each time.