How to Define “Good” Before the Project Begins

A systems-first way for tech leaders to turn fuzzy goals into concrete, trusted outcomes — across product, GTM, sales, and presales.

Most projects in an organization fail long before a single sprint, campaign, or deal review starts. They fail in the room where “success” quietly gets defined as “launching the feature,” “running the campaign,” or “doing more demos” instead of “changing the system.” A few quarters later, everyone can prove they did the work — and somehow, the business story has barely changed.

You’ve probably seen this from multiple angles. Product ships a highly requested capability, but adoption is flat and expansion doesn’t budge. Marketing runs a meticulously planned launch, but pipeline quality looks suspiciously similar to last quarter. Sales and presales ramp up demos and POCs, but win rates and deal sizes refuse to move. That gap between effort and actual change is not primarily a performance problem in any one business unit; it is an outcome design problem.

Outcome design is the discipline of defining “good” in terms of system-level change — across engineering, GTM, and sales — before you define scope, activities, or timelines. It forces leaders to answer a harder question than “What will we do?” — namely, “What must be meaningfully different in our product, our pipeline, or our revenue six to twelve months after this project ‘succeeds’ on paper?”

Outputs vs outcomes

At the heart of outcome design is a simple distinction that is often understood in theory and ignored in practice. Outputs are the things your teams produce: features, campaigns, demos, documents, playbooks, enablement sessions. Outcomes are the changes those outputs create in the real world: user behavior, business performance, system health, or strategic positioning.

When you look at projects through this lens, a pattern appears: most planning rituals are output-centric. Backlogs, project plans, GTM checklists, campaign calendars, sales plays — these are all primarily about what we will do. Very few forums consistently start with the harder question: “What outcome would make this worth doing at all?” As a leader, your leverage is not in micro-optimizing outputs, but in sharpening the outcomes that guide everyone else’s decisions.

Three questions that define “good”

Outcome design does not require a heavy framework. It starts with three deceptively simple questions you can ask of any significant initiative.

What must be meaningfully different in 6–12 months? This forces you to think in terms of system-level change rather than activity. Notice what’s missing in a good answer: no mention of features, campaigns, or artifacts. The focus is on what reality looks like when the work has mattered.

How will we know this difference is real, not narrative? This separates honest outcome design from a nicely worded wish list. It pushes you to define signals and metrics — a mix of leading and lagging indicators — that distinguish genuine change from a good story. If you can’t agree on how you’ll distinguish “real change” from “nice story,” you’re not ready to commit serious resources. You’re still in the land of hope.

What trade-offs are we explicitly willing to accept? Every meaningful outcome comes with trade-offs. If you don’t name them up front, each function will secretly protect its local priorities — and the project will drift back to safe, output-centric work. Trade-offs turn outcome design from a poster into a constraint system. They tell teams where they are allowed to “lose” locally so that the system can win.

A GTM example: from “busy” to strategic

A few years ago, as a tech leader responsible for adoption and outcomes, I worked on a new tech adoption program. On paper, our initial plan was clear: success meant running a lot of activities — sessions, workshops, touchpoints. The more activity we logged, the more successful the program looked.

The system behaved exactly as we had defined it. Teams started doing more activities for the sake of doing them. We accepted almost any nomination, including customers who weren’t ready or weren’t a good fit, just to keep the numbers up. Engagements became transactional: we were ticking boxes rather than building meaningful change.

At some point, it became obvious that this wasn’t an execution issue; it was an outcome design issue. So we redesigned the program around a different definition of “good.” We raised the barrier to entry based on the customer’s as-is environment — if certain foundations weren’t in place, they didn’t enter the program yet. We clarified which personas needed to be engaged, from decision-makers to operators, so we weren’t “adopting” technology in a vacuum. And we made every engagement come with clear next steps and an explicit ownership handoff, so it was obvious who owned value delivery after each interaction, not just who ran the session.

Crucially, we didn’t treat this as a one-time announcement. We documented the nomination process and I made it a habit to actively solicit this information from GTM team members at regular intervals. The impact was immediate. The quality of nominations improved, because the GTM team now had a clear view of which customers to put forward and when. Transactional engagements dropped, and we saw a sharp increase in strategic, long-term discussions with the right customers. The same program became a very different system once we defined success as qualified customers and strategic outcomes, not “more activity.”

What happens when you skip outcome design

Output theater. Each team measures success by activity — 20 features shipped, the campaign calendar run exactly as planned, demos doubled — yet churn is unchanged, pipeline quality looks the same, and win rates barely move. Everyone worked hard; the system didn’t change.

Metric mirages. Teams optimize for what they can move easily instead of what matters. More leads, but not more opportunities. More demos, but not more wins. Dashboards look green, but nobody in leadership actually trusts them to reflect reality.

Trust erosion. Over time, stakeholders learn a quiet lesson: “Internal success metrics don’t correlate with my experience.” Execs start asking for ad-hoc reports because the standard dashboards don’t tell them what they need. Cross-functional reviews turn into narrative contests. Outcome design is partly about better results, but it is also about preserving trust: when we say a project was a success, everyone should roughly agree.

Making outcome design a leadership habit

The real power of outcome design is not in a one-time canvas, but in how you show up to recurring conversations. Retrofit one live initiative: write a three-line outcome summary — problem frame, desired outcome, key signal — and ask the group, “If we achieved exactly this and nothing else, would we call this a success?” Redesign your next kickoff: spend the first 30 minutes only on outcomes and trade-offs, before any talk of timelines or tactics. Change the first slide in your decks: make it “Outcomes we will be judged on,” not “Scope” or “Roadmap.”

Outcome design is not a ceremony to add; it’s a shift in where you start. Instead of “What can we do with the time and people we have?” you begin with “What outcome would justify doing anything at all?” When leaders consistently define “good” before the project begins, teams stop optimizing for motion and start optimizing for meaning.