Growth Strategy · Market Intelligence · Working Method
Seeing It Fast Isn't the Same as Seeing What Matters
On most engagements, a plausible answer shows up within the first day or two. That's not the problem. The problem is that it's usually not the right place to stop, and knowing the difference is most of the actual work.
What Shows Up First Is Rarely What Matters Most
When the human genome was first sequenced, sizing the commercial opportunity for the technology infrastructure behind it didn't resolve quickly. The first framing that came up was the obvious one — borrow the sizing logic already used for adjacent technology markets and apply it here. It was a reasonable place to start. It was also wrong, in a way that only became visible after sitting with the problem well past the point where that first framing already felt like an answer. The real sizing logic had to be built from scratch, because the genome sequencing moment didn't actually behave like the markets the obvious framing was borrowed from.
The same thing happens constantly in megatrends and Technology Horizons work, on a shorter clock. A signal is almost always visible fast — that's what the pattern-recognition is for, and it's doing its job correctly when that happens. What's visible first is rarely the element that turns out to matter most once the picture is actually interrogated. Separating the two is the part that takes time, and it's the part most easily skipped, because the first signal already feels like an answer worth reporting.
The fast read isn't wrong. It's just not finished. Treating it as finished is the actual mistake, not having it in the first place.
Why the Fast Answer Feels Finished Before It Is
There's a real reason the first plausible read feels so much like a real conclusion, and it isn't a personal failing — it's how expert pattern recognition is built to behave. Daniel Kahneman and Gary Klein, two researchers who spent years publicly disagreeing about how much to trust expert intuition, eventually co-authored a paper resolving it rather than continuing the argument: fast intuitive judgment is genuinely reliable in stable, recurring situations where the same patterns repeat and real feedback exists to calibrate against. It gets unreliable fast in novel situations with no established base rate — which is exactly what a newly sequenced genome or an unnamed emerging trend actually is.
(Kahneman, D. & Klein, G., "Conditions for Intuitive Expertise: A Failure to Disagree," American Psychologist, 2009.)
That's the mechanical reason the obvious framing for the genome-sequencing opportunity felt complete on day one. It pattern-matched cleanly to something familiar. The problem was never the intelligence behind the first read — it was that the situation didn't have the stable base rate that kind of fast matching actually needs to be trustworthy.
Back to the Megatrends Case
This is exactly the discipline that separates a reported signal from a genuinely useful one in Technology Horizons work — not collecting more signals, but sitting with the ones already visible long enough to test whether the first, most obvious element is actually the one that matters, or just the one that arrived first.
Staying Past the Point of Discomfort
What actually closes that gap isn't more information. It's staying inside the unresolved, slightly uncomfortable feeling of not having an answer yet, well past the point where a workable one has already shown up — because that discomfort is doing real work, not just signaling delay.
(Donald MacKinnon, founding director of Berkeley's Institute of Personality Assessment and Research, led a well-known 1958 study of forty leading architects — including Louis Kahn, Philip Johnson, I.M. Pei, and Eero Saarinen — and found the most creative among them consistently deferred their key decisions later than their peers, not from indecision but because the extra time kept genuinely producing better work. Above a basic intelligence threshold, MacKinnon found no meaningful link between raw intelligence and the quality of the output. The differentiator was tolerance for staying with the unresolved problem, not being smarter than everyone else in the room.)
The comedian John Cleese has described the same pattern from inside his own creative process — the gap between a good idea and the best one came down to whether he stayed with the discomfort of an unsolved problem longer, not natural talent. It's the same finding MacKinnon documented decades earlier in a completely different profession, which is part of why it's worth taking seriously rather than treating as one person's personal habit.
01
Notice the Fast Read
A signal surfaces quickly — that's pattern recognition doing its job correctly, not a mistake. The obvious framing for the genome-sequencing opportunity arrived on day one, and it felt like an answer.
02
Test Whether It Has a Base Rate
Fast intuitive judgment is reliable in stable, recurring situations with real feedback to calibrate against (Kahneman & Klein, 2009). It's unreliable in novel situations with no established base rate — which is exactly what a newly sequenced genome, or an unnamed emerging trend, actually is.
03
Stay With the Discomfort
The differentiator isn't intelligence. MacKinnon's 1958 study of forty architects found the most creative among them consistently deferred key decisions longer than their peers, not from indecision but because the extra time kept producing better work.
04
Narrow the Distribution, Land the Answer
There's rarely a single checkable right answer — there's a distribution of plausible readings. The discipline is narrowing that distribution honestly inside a real deadline, not eliminating the uncertainty or stopping the moment a workable answer appears.
Living With Degrees, Not a Verdict
None of this produces a "correct" answer, and treating it as though it should is its own mistake. There's rarely a single checkable right answer in this kind of work the way there is in a math problem — there's a distribution of plausible readings, and the actual discipline is narrowing that distribution honestly and living with the residual uncertainty, not eliminating it. That's true of the genome-sequencing sizing work and it's true of every megatrends read since. The work isn't arriving at certainty. It's staying with the discomfort of not-yet-certain long enough that the distribution genuinely narrows, instead of collapsing it early just to relieve the discomfort of not having an answer yet.
What's Documented and What's Practiced
MacKinnon's research and the Kahneman-Klein resolution are both public, well-documented psychology — the reasoning above isn't proprietary. What isn't written down anywhere is how to actually build sustained interrogation into a live engagement with a real client deadline, rather than letting it become an excuse for missing one. Strategic Innovation — Vaxa's proprietary methodology, referenced across engagements including Nokia, Intel, DuPont, and P&G — is what turns staying with the discomfort from a personal habit into a repeatable working discipline that still lands on a defensible answer inside a real timeline.
Where the Breakthrough Actually Comes From
The genome-sequencing sizing work didn't produce a usable answer on day one, and the framing that eventually did work looked nothing like the one that showed up first. The gap between those two is where the actual breakthrough lived — not in a moment of inspiration, but in the accumulated effect of staying with the wrong-feeling parts of an answer that already looked finished. The same pattern holds across Vaxa's megatrends and Technology Horizons work: the read that ends up mattering to a client is rarely the one that surfaced first, and it's almost never found by moving faster. It's found by staying slower, on purpose, past the point where stopping would have been easier.
That's not a description of talent. It's a description of how Vaxa actually works through a hard problem — treating the first plausible answer as a starting point to interrogate rather than a result to defend, long enough for something sharper to actually surface underneath it.
Gowth Strategic in Scientific-Centric Indusrties.
Related Material
MacKinnon, D.W. and the Institute of Personality Assessment and Research, UC Berkeley — 1958 study of creative architects and related IPAR research on the personality correlates of creativity.
Kahneman, D. & Klein, G., "Conditions for Intuitive Expertise: A Failure to Disagree," American Psychologist, 2009.
John Cleese's public account of his own creative process and the role of sustained discomfort with unresolved problems.