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Why Every Valuation Report Tells a Behavioral Story
This article explores why valuation is never purely rational or mechanical, and how biases, incentives, narratives, and market psychology shape how analysts, founders, and investors perceive value. It explains how every valuation report reflects human behavior beneath the financial modeling, and argues for a more integrated approach to valuation that combines technical rigor with behavioral insight.
KNOWLEDGE
Juan Diego Londoño
11/3/20254 min read
Why Every Valuation Report Tells a Behavioral Story
The first thing young analysts are taught about valuation is that value is an output; the product of models, assumptions, comparable data, and discount rates. Value is methodical. Value can be defended. Value can be reproduced. Value is rational.
But after some years in the valuation world (dealing with founders, boards, transactions, crises, corrections), you start to realize something uncomfortable: value is also (and primarily) a reflection of human behavior. Not instead of rationality; in addition to rationality. And the part we almost never talk about in valuation is how much perception, narrative, memory, incentives, identity, and fear actually shape the inputs that lead to a “rigorous” number.
Every valuation report is a behavioral story disguised as a financial deliverable.
The illusion of objectivity
Valuation feels scientific because it is structured. There are frameworks, checklists, comparables, references, and standards.
But the truth is: the real world is messy, and the way analysts interpret reality is not neutral.
Analysts are not pure observers. Analysts are translators. They convert complexity into ordered logic. They decide what matters, what is noise, what is meaningful, what is comparable, what is not... That interpretive layer is where the behavior starts.
Two analysts can be equally smart, equally trained, equally rigorous, and still arrive at meaningfully different valuations. And that divergence is not just a mechanical difference in modeling technique. It is a difference in interpretation of the world.
The idea of value is never fully independent from the human who estimates it
Founders often assume valuations come from “the market.” Investors often assume theirs is the sober, rational, evidence-based view.
Both narratives are incomplete.
Founders anchor valuation in identity: “This is what we built. This is what it deserves.” Investors anchor valuation in risk: “This is what could go wrong. This is what I need to be compensated for.”
In both cases, the final number is not necessarily a reflection of truth; it is the result of a negotiation between different perspectives of future possibilities, and this is fundamentally behavioral.
Incentives are behavioral architecture
Incentives bend the perception of value. Always!
If your bonus is linked to a deal closing, your interpretation of risk subtly compresses.
If your carry depends on upside, your conviction in the future asymmetrically expands.
If your business is fundraising-dependent, “aggressive optimism” becomes a survival strategy (not to mention a bias).
Valuation goes beyond math and can be a representation of an incentive-aligned fiction.
Narrative is a valuation input
One of the biggest mistakes analysts make is assuming narrative belongs to the pitch deck and not the valuation files. Narrative is not simply decoration; it is the context itself!
A story about a market is itself a variable. The strategic frame influences the comparable set. The mental model of how value creation will happen influences the growth assumption. The perceived nature of competitive advantage influences the margin expansion curve. The way uncertainty is interpreted influences the discount rate.
None of these are purely quantitative. Narrative doesn’t sit next to valuation. Narrative is embedded inside valuation.
Memory is a silent bias
Analysts (and investors) do not value in a vacuum, sterile environment. They value with memory: they have seen deals fail, they have seen ego destroy cap tables, they have seen hype cycles collapse violently.
Memory and heuristics act as a precursor to the valuation exercise, often quietly and implicitly.
This is why the same macro datapoint can be interpreted optimistically by someone who lived through a golden cycle and pessimistically by someone who lived their formative years in a downturn.
Valuation is partly a function of what the analyst lived through, not just what the spreadsheet shows.
Valuation is a form of prediction, and prediction is never just neutral inference
Prediction always requires selective attention.
Which driver matters most?
Which variable will truly move the outcome?
Which risk is catastrophic vs. survivable?
Which upside is plausible vs. delusion?
This is where behavioral judgment becomes central. Technical competence matters, but judgment is the multiplier.
Valuation is not purely a measurement of expected value; it is also a statement about what the estimator believes about the future.
The future has no data. The future is inference. Inference is a cognitive behavior.
The behavioral story inside every report
When you really read a valuation, not mechanically, but curiously, you start to see the human story inside it:
what the analyst fears
what the founder hopes
where the market is emotionally anchored
what the industry currently believes is possible
how the cycle is influencing confidence or pessimism
which risk narratives are dominant this month
which mental models are unconsciously normalized
A valuation is never just a numerical output. It is the visible trace of invisible beliefs. It is the formalization of a behavioral snapshot in time.
So what does this mean for the profession?
It means valuation practitioners need to accept that part of their craft is not just technical, it is interpretive and psychological.
It means founders need to stop seeing valuation as a referendum on personal worth, and instead see it as a function of market psychology.
It means investors need to be aware of their own incentive-shaped blind spots, especially when they believe their view is the “rational baseline.”
It means valuation education should evolve from exclusively teaching mechanical techniques to explicitly teaching:
cognitive bias in markets
mental models for strategic interpretation
the sociology of market cycles
the behavioral drivers behind risk perception
If we continue treating valuation as pure finance, we will continue missing the most powerful layer of what drives value to move.
Numbers matter. But numbers are never enough.
A model can compute. It cannot interpret.
A spreadsheet can structure uncertainty. It cannot intuit reality.
Value is not a number. Value is a belief system temporarily quantified.
Every valuation report is a behavioral story told through the language of finance. If we can learn to read the behavioral layer beneath the model, we become better analysts, better advisors, better investors, and better decision makers.
Understanding value requires understanding behavior, and the future of valuation belongs to those who can integrate both.
