Alignment, Not Artifacts

by Kristen DeLap


AI has made product and UX teams dramatically more productive at producing things. Decks get written faster, summaries get generated in seconds, and documentation that used to take days now takes an hour. That's real, and it can be valuable.

But something is getting lost in the throughput.

When content can be produced that quickly, the temptation is to produce it and send it. Just move. But what is getting skipped is the conversation that used to happen before the artifact existed, the slower and messier process of getting into a room and figuring out what we actually mean. We are increasingly summarizing each other's AI-generated output with our own AI-generated output, and calling that communication.

AI is great at creating artifacts. It cannot create alignment.

Alignment isn't a content problem, and it isn't solved by a better deck or a cleaner summary or a more thorough document. It happens when people with different contexts, different pressures, and different definitions of the same words sit together long enough to close the gap between them. That requires someone who understands the market, knows the users, can read the room, and can translate in real time across all of it. The artifact is evidence of alignment. It's not the thing that creates it.


STAND-UP EXERCISE

Pick a word or phrase from your current work, something your team uses regularly and probably assumes everyone understands the same way. "Top priority," "launch-ready," "MVP," and "done" are all good candidates, but the most useful one is whatever is most active in your work right now.

Ask everyone to write down independently what that word means to them - what it includes, what it excludes, and what you would have to see or hear to know it was true. Then compare by mapping on a whiteboard or reading aloud. 

Look for the gap between answers. Chances are, your stakeholders also have similar gaps in their shared understanding.

Flat line art illustration with five coworkers with speech bubbles above their heads. Some bubbles are shared and similar colored, some are separate and distinct.

AI in Product

by Kristen DeLap


Artificial Intelligence is a HOT topic right now. With headlines like “If You Aren’t Using AI, You’re Falling Behind” and “AI is changing jobs across industries” and “Forget about the AI apocalypse. The real dangers are already here” no average person can not be thinking about AI. But as product leaders, we bring a different lens. We need to be thinking through how the ubiquity of AI and machine learning can benefit our users, our processes, our products.

To get your team thinking about how AI might affect them - and generally change the world - try having a stand-up discussion dedicated to it. These YouTube videos can be good thought-starters:
- How Will AI Change the World - a 6 minute TED Ed video
- The Urgent Risks of Runaway AI - a 15 minute TED Talk by Gary Marcus, an AI researcher

Like so many technologies and innovations, there is no one right way to incorporate AI into your product or processes. It is on us as product leaders and within our product teams to learn about the technology and the options available and determine if this will be useful. However, it is also important to understand our team’s hesitancies or excitement about the possibilities. It is hard to maximize the effects of something that you are fearful of. The below prompts can help open up discussion.

And after the discussion, if your team wants to learn more, this free learning path from Google Cloud Skills Boost could be beneficial.


STAND-UP EXERCISE

Before stand-up, ask your team to watch one of the videos above that provide an introduction to some AI concepts. At stand-up, focus on how the team feels about the rise of AI, and if they have any fears or concerns.

One way to do this would be to imagine the future a few years from now. Using a whiteboarding platform, they can place themselves along a spectrum of opinion on various parts of AI. Another way could be to just ask open ended questions about their concerns or what questions they have. Likely, you’ll have a wide range of responses, as well as a wide range of familiarity with AI and its concepts.

To add some humor, maybe show your team this meme.