“No dry holes.”
That’s the goal BP’s leadership team announced to their oil exploration division in the 1990s. Not “increase success rates by 15%.” Not “optimize drilling efficiency metrics.” Just three words that sounded impossible to an industry built on playing the odds.
At the time, BP was hitting oil on only 1 in 4 attempts. Industry average was similar—exploration was a probability game where failure was expected, rationalized, and mathematically normal. Teams would drill based on geological models, government partnerships, and strategic positioning. When holes came up dry, there were always good reasons: the data was incomplete, the partner insisted, the geology was tricky.
“No dry holes” eliminated all of that.
Suddenly there was nowhere to hide. Teams couldn’t explain away misses with sophisticated probability models or strategic rationales. Every dry hole was simply a failure, and there was no dodging it.
The response was immediate. Exploration teams tightened their analyses. They got serious about using every available scrap of data. They toughened up their resistance to governmental and partner pressure. The peer review forum became more outspoken, pushing back on “strategic reasons” to drill low-probability sites.
By 2000, BP’s hit rate was an industry-leading 2 in 3—triple their 1989 success rate. They were still hitting some dry holes, but the impossible goal had stirred improvements that many had considered unreachable.
Here’s what BP discovered that most leaders miss: black-and-white goals work because they remove wiggle room, not because they’re more specific.
SMART goals feel scientific. Specific, measurable, achievable, relevant, time-bound. They’re perfect for steady-state execution where everyone agrees on the destination. Hit your sales targets. Complete the project on time. Reduce costs by 8%.
But SMART goals have a fatal flaw in change situations: they presume emotional buy-in that doesn’t exist yet.
“Increase our drilling success rate to 35% by Q4” sounds reasonable and measurable. It’s also completely forgettable and easy to rationalize away. Miss by a few percentage points? Close enough in this economic climate. The goal becomes a suggestion, not a standard.
Black-and-white goals work differently. They shift identity before they change metrics.
“No dry holes” didn’t just set a target—it redefined what success meant. BP’s teams were no longer statistical optimizers playing probability games. They became precision operators who had to be right every time. That identity shift changed everything: how they analyzed data, how they pushed back on pressure, how they made trade-offs between speed and accuracy.
The same pattern works across industries. “Zero customer churn this quarter” sounds impossible until you realize it forces entirely different behaviors than “reduce churn by 15%.” Teams stop accepting inevitable losses and start designing retention into every touchpoint.
“No feature launches without weekly customer interviews” creates different habits than “increase customer research by 20%.” It makes customer voice non-negotiable, not optional.
“Zero missed deadlines” builds different project management muscles than “improve on-time delivery to 85%.”
The key insight: change requires emotion first, measurement second. SMART goals assume people already want to change and just need clearer targets. Black-and-white goals generate the emotional commitment that makes change possible.
This doesn’t mean abandoning measurement. BP still tracked success rates, costs, and cycle times. But those became diagnostic tools, not the primary motivation. The motivation came from the identity shift: we’re the team that doesn’t miss.
Your next goal-setting session probably won’t benefit from more specific metrics or tighter timeframes. It needs a clearer answer to a simpler question: What does success look like when we stop making excuses?
Sometimes the most measurable goal is the one that leaves no room for measurement games.
What impossible standard would transform how your team thinks about their work?