5 AI prompts to power up your product team

AI can help move your work forward — if you know where you are going. | Photo by Jodi B Photography

April 22, 2025

5 AI prompts to power up your product team

by Julie Price

Asking ChatGPT for a dinner idea. Letting your email suggest the next sentence for you. Telling AI to summarize a long article you do not want to read (some of you will even do that here!). These AI-driven moments slip into daily life without much thought — tiny conveniences that make things faster or simpler.

And now, AI is changing how we build. Not just in terms of what we make, but how we think about making it. Code is written, decisions suggested, language generated.

The line between human intention and machine assistance is getting harder to see.

It is easy to forget AI is even there, quietly nudging decisions and shaping output. But that influence is worth paying attention to, especially for those of us in product. We are defining how others interact with technology every day. The speed and polish AI can provide are useful. But product leadership depends on more than efficiency.

Clarity, discernment, and the ability to embrace uncertainty are not things AI can do for us.

Just this week, I used the AI assistant in Aha! software to summarize themes from a batch of new ideas and tighten up notes for an upcoming planning session. Those capabilities are genuinely helpful — providing a clear boost in speed and focus.

But there is a flip side. AI helps you move faster, but it also tempts you to move on too quickly. A few edits to the output, then on to the next task. That speed can come at the cost of critical thinking. It is still up to us to question what the output is solving for, consider trade-offs, and decide what is actually worth building.

This is the real risk: letting AI steer too soon and dim our judgment.

So how do we make the most of it? The five areas of product work below are ideal for pairing AI support with thoughtful human analysis. I will walk through how you can apply AI in Aha! software — then how to take it further with your own expertise.

Share early thinking on initiatives

You know what you want to accomplish. Now, you are deciding what it will take to get there. Defining major efforts (or initiatives) is a critical part of setting direction, and it can be hard to articulate everything you are weighing at once. AI can help by giving you a first draft to react to — a way to move your thinking forward.

Try this in Aha! Roadmaps: Jot down a few lines about the goal you are addressing and the type of work you envision. Use the AI assistant to draft an initiative description, including what it covers and how you might measure success.

Build on it: Treat the draft as a starting point. Does it reflect your intent? Does it help others understand how this work connects to your broader plans? Add what is missing and cut what is vague. AI can help organize your thinking — but only you can decide what truly deserves focus.

Learn from customer interviews

Interview insights are rarely obvious. Themes hide in nuance — in what is emphasized, repeated, or avoided. AI can help by summarizing transcripts and pointing to patterns. But the hardest work is still human: knowing which insights are meaningful and how they should shape what comes next.

Try this in Aha! Discovery Advanced: After an interview, use the AI assistant to summarize the transcript and identify potential learnings.

Build on it: Review the transcript for contradictions and tone. What surprised you? What felt incomplete or glossed over? Make a note of the moments that gave you pause. The point is not just pattern recognition, but also connecting real stories to your product decisions.

Make sense of customer ideas

When customer feedback comes in steadily, it can be hard to see the bigger picture. AI can help by clustering related ideas and surfacing themes so it is easier to spot opportunities. But interpreting those themes still takes discernment.

Try this in Aha! Ideas Advanced: Use AI exploration to visualize how related requests connect and which topics are gaining traction. You can also create a theme from the ones that seem especially meaningful. This helps group ideas and guide future prioritization.

Build on it: Step back from the volume. Who is requesting what? Do they represent your target segment? Are they repeat users or occasional visitors? Impactful prioritization is about what is most consequential, not necessarily what is most common.

Keep the team aligned on how work gets done

Shared understanding takes effort. A knowledge base helps everyone stay grounded in how work flows from intake to delivery. AI-powered search makes it faster to find key guidance when questions come up.

Try this in Aha! Knowledge: Use AI-powered search in your internal knowledge base to help the team locate essential documentation — like how you run meetings, share roadmap updates, or scope features. (AI search also works in customer-facing knowledge bases.)

Build on it: Ask what is missing. Which docs need updating? What guidance is hard to find or out of sync with how the team actually works? Reliable documentation should evolve as your work does.

Write clearer release notes

Release notes should say more than what is new. Done well, they reinforce product direction and build trust with customers. AI can help you get started, especially when there is a lot to communicate.

Try this in Aha! Roadmaps: Use the AI assistant to write an initial draft of your release note based on the features you just shipped.

Build on it: Look for the why. What does this update enable? How does it connect to your broader goals? Treat each release as a conversation — a way to keep people informed, yes, but also to keep them engaged.

Use AI to move faster. And use your judgment to make sure you are moving in the right direction.

AI is only as helpful as the thinking you bring to it. Use it to support your work, not to shortcut the process. Keep questioning, refining, and anchoring your decisions to what customers truly need. That is the work. And no language model can do it for you.

Start a free trial

AI capabilities are available across Aha! software. Our suite of tools includes Aha! Roadmaps, Aha! Discovery, Aha! Ideas, Aha! Whiteboards, Aha! Knowledge, and Aha! Develop. Use each product individually or combined to help teams deliver even greater value. Sign up for a free 30-day trial or join a live demo to see why more than 1 million product builders trust our software to build lovable products and be happy doing it.

Julie Price

Julie Price

Julie loves helping product teams build products that customers love. She is the director of product management and UX at Aha! — the world’s #1 product development software. Julie started on our Customer Success team before moving into a senior product role. She has over 20 years of experience in product management and was previously director of product at a corporate wellness software company.

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