Vision and strategy
Getting an honest read on which ideas are worth a bet
For the pile of ideas nobody can rank with confidence. We put agents to work on the evaluation, and we build that habit into how your team decides.
AI advisory for software product teams
What if speed isn't the most interesting thing AI changes?
For senior software and product leaders already spending on AI, who want a clearer read on whether that investment is working.
We work with you, and with the product managers and developers on your team. The work happens on what they already have in flight: getting real results out of agents, and getting honest about what is worth building before anyone starts.
Where teams feel it
Here is what we keep hearing.
You might find a few of your own in this list.
“We're spending more on AI, and I still cannot tell if we are winning.”
“People are burned out. We added AI to a process that still needs to be rebuilt.”
“Half the team is pushing agents as far as they will go. The other half is afraid the agent will get them fired.”
“Our product managers keep getting told to use AI. It still is not in their actual workflow.”
“Developers who try agents either fly or freeze, and nobody is getting consistent work out of it.”
“We have a pile of ideas and no honest way to tell which ones are worth a bet.”
Two or three of these sound like your team? That is enough to start a conversation.
Book a callWhy this keeps happening
Building has always been more fun than planning.
Teams skip the upstream work because jumping straight into building is more fun. Agents have made this easy, generating more output than ever.
It might be output nobody really wanted.
What gets skipped is two short pauses.
- Decide what is worth building.
- Write down the outcome clearly enough that an agent can hit it.
Neither pause is new. Developers have always needed the same thing.
The process you have was built for a team without agents. The old ways won't make the most of the new tools. The real work needs reimagining, one piece of the process at a time. You should see the payoff at every stage, from first idea to release.
How we help
Vision, product, and build.
Build better,
not just faster.
Where is your team stuck?
Many teams are focusing AI effort on the build. We work on all three.
Product
Getting AI into the product manager's actual workflow
Not a product class. They learn how to brief an agent, give it context, and judge what comes back. Then they start building their own tools.
Build
Getting agents into the developer's actual sprint
Some are already pushing the edge. Some are afraid the agent will get them fired. Both need to get good work out of agents without losing quality.
How we work
What this looks like in practice
Here is how an engagement with us actually runs.
Agents in the work, process retooled as we go
We put agents into what your team is already doing and reshape the process around them, one piece at a time. The aim is agents across the work, without pretending the old process was built for that.
Side by side, teaching in the same motion
We sit with your product managers and engineers while it happens. We keep finding where agents belong, and we teach your people to use them well on their own.
Aimed at better bets, not just more output
The point of the engagement is a clearer read on what is worth building, and a team that can keep making that call. Speed matters after that, not instead of it.
In their words
What people say after working with us
I feel like I've made leaps and bounds, and I actually have a viable tool now. It's not this mystery box over here. It's usable, functional, and I'm using it every day.
I learned a lot. When there wasn't an answer, it got followed up. The resources were thought-provoking, not just a dump of links.
Even though I don't know everything, I know where to look when I don't know something. I can figure stuff out myself now.
The coaching format is helpful because I wouldn't explore this on my own. Looking back, there's definitely been a benefit.
Scott Heffield
Building got fun again. Then I built the wrong things.
I built software for a couple of decades, but I got burned out. Not on building, on reinventing myself to keep up with every new tech cycle. So I stopped building software and started building teams and companies.
Building with AI pulled me back in: playing at a higher level of abstraction, describing the outcome, staying out of the syntax, watching it take shape. It was fun in a way I hadn't felt in years.
Then I noticed the catch. I could build faster than I could come up with good ideas, so I built things nobody needed. Now I make myself answer two questions before anything gets built: Is this worth doing? What outcomes are we after?
Teams hit the same wall, with far more at stake. This is the problem Results Oriented works on now.
Read what I'm learning Scott on LinkedInStart with a conversation
Let's talk.
Thirty minutes. Bring the two or three symptoms that sound most like your team. We'll walk through how work moves from idea to release on your side, and you'll leave with a first read on whether your AI investment is working and where to start.
Pick a time.
Loading the calendar. If it doesn't appear, book atThe calendar didn't load here. You can book at cal.com/scott-heffield-jfgtkf/lets-talk or email scott@resultsoriented.net.