Defining Success Before Writing Code

Strategy Leadership Planning
RJ Lindelof
August 12, 2026 6 min read Strategic Technology Leadership at RJL.guru
Defining Success Before Writing Code

"Build it and they will come" is a lie. The best teams define what success looks like before they write a single line of code. Here's how.

The most expensive code is code that solves the wrong problem. Every day, talented engineers build features nobody asked for, optimize metrics that don't matter, and ship projects that technically work but practically fail. The fix is simple: define success before you start.

The "Build It" Trap

"Build it and they will come" is a Field of Dreams quote, not a business strategy. Yet teams operate this way constantly:

  • Six months building a feature based on one loud customer
  • Rebuilding the entire frontend because someone wanted a refresh
  • Adding AI to a product because AI is hot right now
  • Optimizing page load time when users are churning over pricing

Activity feels like progress. It isn't. Progress is measurable movement toward defined goals.

What Does Done Look Like?

Before any project starts, answer these questions:

  • What problem are we solving? Not what are we building - what problem.
  • How will we know it worked? Specific, measurable outcomes.
  • What does failure look like? When do we stop or pivot?
  • Who decides if we succeeded? Not the team - the user, the customer, the business.

If you can't answer these, you're not ready to write code.

Business Metrics vs. Vanity Metrics

Vanity metrics look good but don't drive decisions:

  • Total registered users (including dead accounts)
  • Page views (bots count too)
  • App downloads (that get deleted immediately)
  • Social media followers (who never buy anything)

Business metrics actually matter:

  • Monthly active users (people who actually use the product)
  • Conversion rate (visitors who become customers)
  • Revenue per user (actual money)
  • Churn rate (customers who leave)
  • Net Promoter Score (would they recommend you?)

If your success metric doesn't connect to revenue or retention, question why you're measuring it.

OKRs for Technical Projects

Objectives and Key Results work for engineering too:

Objective: Improve checkout conversion

Key Results:

  • Reduce checkout abandonment from 68% to 55%
  • Decrease checkout completion time from 4 minutes to 2 minutes
  • Increase mobile checkout completion by 25%

Notice: no mention of specific features. The goal is the outcome, not the implementation. Maybe you need a new payment provider. Maybe you need fewer form fields. Maybe you need better error messages. The OKR guides decisions without dictating solutions.

The MVP Trap

Minimum Viable Product is the most abused phrase in tech. It doesn't mean:

  • Ship garbage and call it lean
  • Build half a feature and see what happens
  • Release something broken "to learn"

MVP means: What is the smallest thing that delivers real value?

  • It must actually work
  • It must solve a real problem
  • It must be usable by real users
  • It must teach you something you didn't know

An MVP that nobody wants to use taught you nothing except that you shipped something nobody wanted.

Stakeholder Alignment

Everyone agrees until it's time to prioritize. Then:

  • Marketing wants different features than Sales
  • Engineering wants to pay down tech debt
  • The CEO saw a competitor's feature and wants it yesterday
  • Support keeps escalating the same three bugs

Alignment isn't agreement - it's explicit prioritization that everyone understands. Not everyone will be happy, but everyone should know:

  • What are we building?
  • What are we NOT building?
  • Why these choices?
  • When will we revisit?

Document it. Share it. Reference it when scope creeps.

Measuring After Launch

Launch isn't the end - it's when measurement begins:

  • Week 1: Is it working? Any critical bugs?
  • Month 1: Are users adopting it? What feedback are we getting?
  • Quarter 1: Did we hit our success metrics? What did we learn?

Build feedback loops into your process. If you're not measuring after launch, you're not learning.

The Uncomfortable Truth

Sometimes the answer is: don't build it.

When you define success upfront, you often discover:

  • The problem isn't big enough to justify the investment
  • A simpler solution already exists
  • The assumed user need isn't real
  • The risk outweighs the potential reward

That's not failure - that's success. You avoided wasting months on the wrong thing.

Start Here

For your next project, before any code:

  1. Write one sentence describing the problem you're solving
  2. Define 2-3 measurable success criteria
  3. Set a timeline for measuring those criteria
  4. Get explicit sign-off from stakeholders

That's an hour of work that can save months of building the wrong thing.

Code is expensive. Wrong code is catastrophically expensive. Define success first, then build toward it.

Frequently Asked Questions

About the Author

RJ Lindelof is a technology executive with 35+ years of experience spanning Fortune 500 companies to startups. He does don't just talk about AI; he implement's it to solve real-world business problems. RJ's approach has led to significant improvements in team velocity, code quality, and time-to-market.