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South Park Commons IndiaHow Asking ‘Why?’ Changes What You Build | Kunal Shah
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CHAPTERS
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Curiosity, the lost “why,” and founders building dams without rivers
Kunal Shah opens by arguing that people lose curiosity early and become insecure about asking “stupid questions,” which blocks compounding learning. He connects this to startups: many founders over-focus on building the “dam” (product) while failing to find the “river” (real human motivation) that makes it work.
- •Curiosity declines because people fear looking low-status when asking basic questions
- •The “why” question gets replaced by “how do I do this?” and “what should I do?”
- •A founder’s job starts with understanding core motivation: what people truly care about
- •The rivers-and-dams analogy: fixing the dam won’t help if there’s no river
- •A practical framing for demand: will people pay a lot, a little, or only give time (or want it free)
Early life and work: family crisis, dropping science, and discovering the internet
Prateek Mehta invites Kunal on stage and asks for his backstory. Kunal describes growing up in a Gujarati Jain business family, losing family wealth due to illnesses and business shutdowns, moving into a small chawl, and starting work as a teenager while studying philosophy for schedule flexibility.
- •Growing up in a business-oriented community where jobs were uncommon
- •Family wealth collapse, illnesses, and moving into a very small home
- •Starting work at 14–15 through delivery and data entry jobs
- •Dropping science studies and choosing philosophy because it fit work hours
- •Getting early access to the internet and teaching it to stay connected
Philosophy, sales, and learning to see multiple perspectives (without hero worship)
Kunal explains how philosophy helped him develop a love for knowledge and the ability to hold multiple perspectives, which he says is missing in education. He also describes learning sales early to survive, and critiques the tendency to worship figures and accept their opinions uncritically.
- •Philosophy as “love for knowledge,” not merely moralizing
- •Developing multiple perspectives and critical thinking as a competitive advantage
- •Skepticism about tech-bro hero worship and taking opinions as truth
- •Learning sales early as a survival skill and a way to understand people
- •Noticing behavioral patterns as circumstances and success change social dynamics
WhyFi School: rebuilding the muscle of asking “why” without shame
Kunal outlines why insecurity suppresses curiosity and describes an experiment he calls “WhyFi school,” where children practice generating and answering daily “why” questions. He also contrasts asking questions to AI versus asking humans, emphasizing that probing people’s minds remains more valuable.
- •Insecurity about image reduces curiosity and questioning
- •Using AI can help you ask “stupid questions,” but humans hold uncaptured insight
- •WhyFi school: daily “why” questions plus returning with answers builds compounding learning
- •Adults over-index on instructions; founders should question why products should exist
- •Kunal frames most products as “stupid” unless rigorously justified by motivation
Status culture, collectivism, and why innovation struggles
Kunal argues that a collectivist impulse pulls down people who stand out, reducing strong opinions and innovation. He links status obsession to low prosperity, discusses how titles and designations function as status markers, and explains how status-heavy environments can underpay because the role itself signals prestige.
- •Collectivist norms encourage regression to the mean and punish standing out
- •Innovation suffers when people avoid strong opinions due to mockery
- •Status markers show up in ribbons, uniforms, titles, and designation obsession
- •Status-oriented jobs can underpay because the prestige compensates
- •Prosperity connects to different cultural incentives, including valuing time
Translating motivation into products: tech delivers, FMCG creates desire, and “rivers” come first
Asked how earlier insights apply to product building, Kunal says tech founders mainly make existing motivations easier to satisfy, while some categories create motivations more effectively. He returns to the river-and-dam model and gives examples of what people pay for—education, health, status—arguing founders must identify “rivers” before optimizing execution.
- •Tech founders tend to deliver existing motivation; other categories can shape new motivation
- •Marketing and messaging can target different insecurities depending on the audience
- •Finding rivers: identify what people care about enough to pay for (or spend time on)
- •Status and signaling can be monetized (awards, trophies, conference lanyards) because people value them
- •Founders often misdiagnose failure as a dam problem instead of a missing river
Choosing markets and avoiding “complexity addiction”: simplicity, judgment, and using people as APIs
Kunal describes his mental model for choosing areas: large markets, profit pools, growth, and core motivations, plus simple questions like what family members would pay for. He critiques high academic performers for overcomplicating, warns against fear-driven A/B experimentation, and proposes leveraging high-judgment people as “APIs” for feedback and blind spots.
- •Market selection signals: big markets, profit pools, revenue growth, and motivation clarity
- •High academic achievement can create a bias toward complexity over simple truths
- •Consumers want simplicity, even if building simplicity is complex
- •A/B experimentation can reflect insecurity when used to avoid conviction
- •Use high-judgment experts (and even persistent pessimists) as “APIs” to improve decisions
Building teams without designations: wealth over status and the traits that matter
Kunal explains that at his company people have roles rather than designations, reinforcing wealth creation over status signaling, and he notes hiring is a perpetual learning loop. He then lists traits he prioritizes: ambition/drive, comfort with ambiguity, “energy creators,” hiring for weaknesses, respecting evidence of success, and evaluating learning slope and teaching ability.
- •Roles instead of titles; selecting for people optimizing for wealth rather than status
- •Hiring remains iterative; advice mainly helps you recognize mistakes later
- •Key traits: drive, ambiguity tolerance, and being an energy creator rather than drainer
- •Avoid hiring clones; hire for your weaknesses in competence and style
- •Signals of strong talent: learning ability, teaching ability in leaders, integrity (not mere rule-following), and rule-breaking when needed
Archetypes for leadership: values vs obedience, and why startups need “Krishnas”
Kunal introduces a two-by-two framework (values vs obedience) and uses archetypes to describe organizational roles. He claims successful founders tend to be high-values but low-obedience, while large companies eventually lose such people as rules grow, pushing them to leave and start up again.
- •Framework: values (high/low) crossed with obedience (high/low)
- •Founder-success pattern described as high values with low obedience
- •Misclassification risk: rule-followers may see low-obedience builders as unethical
- •Different archetypes can be useful at different company stages, including execution-focused leadership
- •As companies scale, rule growth can drive out low-obedience high-values builders who then found new startups
Design as trust and taste: why beauty, opinion, and “lack of efficiency” create soul
Prateek asks about CRED’s design language; Kunal says taste starts with the founder and reflects broader business choices. He argues beauty correlates with trust, design must have an opinion (and therefore polarize), and many meaningful experiences are intentionally inefficient—what he calls the source of “soulfulness.”
- •Taste begins with the founder and shows up across product, marketing, and business choices
- •Beauty/attractiveness drives trust and perceived value
- •Opinionated design polarizes; bland design may be broadly acceptable but less compelling
- •Human experiences people love often trade efficiency for feeling and craft
- •The “ratchet effect”: once people experience higher quality, going back feels difficult
Hiring creative talent: trust, independence from bosses, and optimizing for audience applause
Kunal explains that high-taste creative people are hard to hire and require high trust and autonomy. He says strong creatives optimize for audience response rather than internal approval, and “sucking up” is a red flag for weak creative judgment and opinions.
- •High-taste creatives are difficult to hire and won’t tolerate low-taste environments
- •Creative teams need trust and space, not micro-edits and directives
- •Great creative people optimize for audience applause, not boss approval
- •Boss-pleasing behavior is a negative signal for strong creative output
- •Creative work requires freedom to hold and execute strong opinions
Marketing that avoids spoon-feeding: puzzling ads, emotion over explanation, and winning attention
Discussing campaigns, Kunal says they built ads internally with non-traditional creators and deliberately avoided spoon-feeding. He describes marketing as an emotion-evoking competition for attention in a world where everything is “an ad,” arguing that being discussed—even hated—is better than being ignored.
- •Building campaigns internally and working with creatives who hadn’t made ads before
- •Inspiration from an orangutan enclosure: high-IQ audiences need puzzles, not spoon-feeding
- •Marketing goal: evoke emotion and curiosity; indifference is the true enemy
- •Breaking the standard “playbook” can trigger discussion and organic explanation by users
- •Optimizing for shareability and attention before forced distribution (e.g., television)
Audience targeting and rapid-fire views: avoid favorites, discover your own inputs, and a calculated risk example
Kunal explains they targeted younger household “technology decision-makers,” aiming ads at people who would influence family product choices. In rapid-fire, he discourages having favorites or relying on book recommendations, encourages broad curiosity, and shares an example of taking a debated marketing risk during COVID around an IPL campaign that turned out fine.
- •Belief that household tech choices are often driven by ages roughly 8–20; optimizing creative appeal accordingly
- •Avoiding expensive “big” celebrities and instead using familiar faces in unexpected ways
- •Recommendation to avoid favorites to prevent intellectual narrowing
- •Encouragement to self-discover learning paths via wide curiosity rather than copying lists
- •Example of conviction-led risk: proceeding with a COVID-era campaign despite board concern
Audience Q&A: investing as paying forward, skepticism of motivation culture, and what drives wealth/health behavior
In Q&A, Kunal says he invests in companies as a way to pay forward and learn, and he pushes back on “inspiration” and motivational-speech dependency. He challenges assumptions that frictionless tools automatically improve wealth and health behaviors, arguing motivation and time-horizon shifts matter more than access.
- •Investing in companies as a personal way to contribute and learn from founders
- •Critique of “inspiration” framing and repeated motivation-seeking as addictive
- •Wealth and health behaviors don’t change just because tools are accessible (gyms example)
- •Short-termism drives demand for shortcuts in wealth and fitness outcomes
- •He describes cycles where societies learn discipline after consequences and downturns
Delta-four products, investing priorities, correlation vs causality, and closing on building over consuming content
Kunal answers questions about creating big improvements (“delta four”), saying it comes from making what people already care about better, cheaper, and faster, often enabled by platform shifts. He explains what he looks for when investing—people with strong learning slope—and repeats his river test: what people will pay for or spend time on. He closes by urging founders to build and iterate more, and to study profitable, scaled businesses with respect rather than surface-level mockery.
- •Delta-four opportunities come from major improvements and platform shifts like new technologies
- •Investment focus: founders with strong slope and learning ability who understand their business deeply
- •Top river test: whether customers will pay a lot, a little, or at least give time
- •On reasoning: use tools to explore, but accept you can’t always resolve causality fully before acting
- •Closing: build more than you consume; study profit and scale to understand what truly works
