When metrics become totems: an anthropologist observes giants and startups facing the same customer

1. The dashboard war room (The Hook)

The scene repeats itself in different cities, with actors who have never met.

On a Monday morning, on the 18th floor of a big bank, six executives stand around a giant screen. The “NPS” blinks in red, the digital onboarding funnel is leaking customers at every step. Someone declares: “Fintechs are eating our lunch on UX.” A crash plan is drawn up: more features, more campaigns, more committees.

Four kilometers away, in a graffiti-covered coworking space, the ritual is different. Three fintech founders look at a much more modest dashboard. This month’s growth curve has flattened. CAC has shot up. An investor wrote to them last night: “Where’s the next 10x?” Here the line is different: “Banks are suffocating us with compliance and regulatory capital.”

No one that morning thinks they are trapped in the same game.

From an anthropological perspective, they are not just companies: they are tribes that worship different totems. While incumbents bow before the god of regulated scale, startups worship the god of zero friction. In the middle sits the customer, who visits both temples without ceremonial loyalty.

This report looks at that scene not as a war, but as a series of rituals that repeat across finance, health, retail and mobility, where what we call “business model,” “technology,” or “UX” are, in reality, expressions of a deeper tribal code.

2. How we ended up treating friction as if it were a sin (Genesis)

The comparison between incumbents and startups seems obvious: some are big, others small; some more regulated, others more agile. But the root of the contrast is less technical and more social.

By defining a comparison framework—value proposition, revenue model, cost structure, channels, customer relationship, technology, UX, barriers to entry, and regulation—we are, deep down, choosing what each tribe considers sacred.

• For traditional industry, the central totem is continuity: don’t go bankrupt, don’t get sanctioned, don’t fail massively. The value proposition is built around stability and trust: “your money will be there,” “your surgery will be safe,” “you’ll have stock,” “your truck will arrive.”
• For the startup ecosystem, the totem is meaningful difference: solving a concrete problem in a new, visible and scalable way. The value proposition is built on the promise of a different experience, radically more convenient, personalized or cheaper.

This clash of totems folds into two hypotheses we repeat almost like mantras:

1. “Startups always win on UX”: cleaner interfaces, fewer steps, better design, friendlier language.
2. “Incumbents always win on scale”: more customers, more capital, more branches, more years of data.

Both hypotheses contain some truth, but as an anthropologist I observe another constant:

Each sector has been building an unstable equilibrium where startups operate as experience layers on top of infrastructures, licenses and regulatory frameworks owned by incumbents.

The same happens in education, where the “scope and sequence” of a curriculum defines what is legitimate to teach and in what order; in regulated markets, the “cybersecurity framework” defines what is tolerable or not. In every sector, the framework is not neutral: it is the official narrative of what can be done without being expelled from the tribe.

With that lens, let’s look at four territories where these frameworks collide daily.

3. Four altars where everyone prays for the same customer (The Invisible Conflict)

3.1 Finance/Fintech: marble branch vs. doorless app

In traditional banking, the ancestral model rests on branches, robust balance sheets, and regulation that defines who can hold other people’s money. The fintech startup is, very often, a thin experience layer on top of those same balance sheets.

• Business model: The bank lives off financial margins, fees and cross-selling. The fintech aims its model at subscriptions, transaction fees and data monetization.
• Technology: the incumbent maintains legacy systems, connected by patches and middleware; the fintech runs on cloud architectures, APIs and advanced analytics.
• UX: the fintech cuts onboarding steps, designs intuitive flows with friendly language; the bank drags long forms, manual checks and fragmented processes.

The invisible conflict here is not just technological: it is ritual. The bank responds to the ritual logic of the regulator and supervisor; the fintech responds to the ritual logic of the investor demanding growth and the user demanding almost zero friction.

3.2 Health/Healthtech: hospital as cathedral, app as portable oracle

In health, the physical hospital remains the central altar, with operating rooms, beds and clinical records that pile up like sacred archives. Healthtech startups build digital oracles: telemedicine, remote monitoring, appointment management.

• Business model: the hospital monetizes stays, medical procedures and agreements with insurers. The healthtech offers online consultations, monitoring subscriptions and software licensing.
• Technology: the incumbent still uses paper records and old electronic systems; the startup introduces connected platforms, IoT devices and data analytics.
• UX: the healthtech cuts waiting times and travel, allowing access to a doctor from anywhere; the hospital demands phone bookings, queues and physical presence.

The invisible conflict is who holds the ritual authority of diagnosis: the doctor physically present in the hospital cathedral, or the professional (or algorithm) accessible from a phone.

3.3 Retail/Ecommerce: lit aisle vs. infinite cart

In retail, the store is the visible consumption stage; ecommerce is an invisible continuum that reaches the customer’s doorstep.

• Business model: the traditional retailer depends on sales floor space, inventory turnover and category margins. The ecommerce startup bets on direct-to-consumer, subscriptions and data-intensive DTC models.
• Technology: the physical store uses ERPs and POS systems; ecommerce relies on cloud platforms, recommender systems and targeted digital marketing.
• UX: ecommerce offers fast search, personalized recommendations and checkout in a few clicks; the physical store offers sensory contact and human service, but drags logistical frictions.

The invisible conflict: who controls the story of product discovery? The aisle and physical merchandising, or the algorithm deciding what appears on the first screen?

3.4 Mobility/Logistics: steel fleet, app of instant promises

In mobility, the traditional company manages physical assets: trucks, buses, fixed routes. The mobility startup promises flexible, on-demand availability and real-time tracking.

• Business model: the traditional operator bills by contract, routes and volume shipped. The startup monetizes per trip, per use, and via commissions on a network of drivers or providers.
• Technology: where the incumbent uses fleet management and planning systems, the startup uses mobile apps, geolocation, algorithmic optimization and real-time analytics.
• UX: the app lets you book, pay and track the trip from your phone; the traditional setup requires calls, emails and offers little visibility on service status.

The invisible conflict here is who defines the norm of acceptable time: the annual contract with generic SLAs, or the on-screen notification that frames every delay as a personal failure of the brand.

4. The market as a codex of tribal patterns (Evidence & Insights)

If we arrange these sectors into a single codex, patterns emerge that transcend any particular case. The table below summarizes the totems and fears guiding the behavior of both tribes:

Table 1. The symbolic “scorecard” of incumbents vs. startups

Looking across sectors, a common pattern emerges—backed by current market practice:

• Startups tend to act as experience and orchestration layers on top of traditional infrastructures. This is clear in fintech (open banking, payment rails), in retail (marketplaces on top of existing logistics networks) or in mobility (platforms coordinating third-party fleets).
• Traditional industry concentrates scale, brand and regulatory know‑how. They own distribution networks, access to capital and historical data reserves that are hard to replicate.

Structural advantages can be summarized as follows:

Table 2. Recurring structural advantages

These factors are not just bullets on a slide; they shape business model sustainability:

• Startups can scale quickly where the regulatory framework allows and where incumbent infrastructures are accessible via APIs and agreements.
• Incumbents tend to weather regulatory and economic shocks, but risk losing day‑to‑day relevance if their UX doesn’t converge with expectations set by startups.

5. Technology: the battlefield where everyone swears they’re modern (The Strategic Shift)

Across all tribes analyzed, technology has become a shared language, but with different accents.

5.1 Legacy systems vs. modular architectures

• Legacy systems in banks, hospitals or retailers are like ancient alphabets: hard to change but capable of handling massive, mission-critical transactions. They rely on mainframes, point‑to‑point integrations and long change cycles.
• Modular architectures in startups—based on cloud, microservices and APIs—are like agile dialects: they adapt quickly, integrate third-party services and scale with demand.

In practice, this creates a new type of ritual: “core modernization” as an epic, multi‑year project within incumbents, and “continuous migration” within startups, which change tools as fast as they change funding rounds.

5.2 Building on the giant: open banking, payments and logistics

The dependency is less visible, but deep:

• In finance, many fintechs rely on existing banking infrastructure: safeguarding accounts, partner institutions’ licenses, traditional payment platforms. Open banking lets startups use bank data to offer more personalized interfaces and services.
• In retail and logistics, marketplaces and delivery services are built on logistics networks of historical operators, using their warehouses, routes and last‑mile capacity.
• In mobility, on‑demand transport platforms benefit from urban infrastructure (roads, stations, traffic rules) created and maintained by traditional players and regulators.

This setup reshapes bargaining power:

• The startup gains speed and UX;
• The incumbent, if it negotiates shrewdly, captures new volumes and data without exposing itself to total brand erosion.

5.3 Tech regulation: who sets the ritual limits

Regulation around data, privacy and cybersecurity acts as a set of shared taboos:

• Incumbents often have an advantage thanks to their experience interpreting complex regulatory frameworks and their dedicated compliance teams. This helps them avoid sanctions and negotiate with regulators.
• Startups bear the cost and complexity of adapting, but can sometimes move in less densely regulated niches or leverage innovation‑friendly regulatory programs.

The paradox: as technology becomes more critical (e.g., cybersecurity), startups need to look more like incumbents in controls and processes, while incumbents need to look more like startups in agility and experimentation.

6. UX and product design: when the interface becomes symbolic battleground (User Experience)

From an anthropological standpoint, UX is the rite of passage that determines whether a user feels “inside” or “outside” a digital tribe.

6.1 Two design philosophies

• In traditional industry, product design is often filtered through internal processes, organizational silos and regulatory requirements. The priority is not only that the user understands, but that the auditor, regulator and risk department feel protected.
• In startups, design is anchored in user‑centered development: interviews, A/B tests, constant iterations and product metrics as the guiding star.

This difference leads to measurable behaviors:

• NPS: startups tend to push for rapid Net Promoter Score gains as proof of value for investors and the market.
• Time to value: in a fintech or ecommerce app, the time from sign‑up to the first meaningful action is a daily obsession.
• Conversion and retention: startups measure precisely where users drop off and what brings them back.
• CAC: customer acquisition cost becomes a survival metric.

In incumbents, these metrics exist but coexist with other priorities: meeting regulatory targets, operational stability, channel satisfaction.

6.2 Competitive advantage or commodity?

In sectors where historical friction was very high—such as banking or healthcare—strong UX is initially a powerful competitive edge. The first fintech that lets you open an account in minutes, or the first telemedicine platform that solves a consultation without queues, feels revolutionary.

But once the basic UX patterns spread, the edge shrinks:

• Incumbents copy flows, hire product talent and update their digital channels.
• Startups must seek new differentiation: deeper personalization, integrated services, more sophisticated value propositions.

UX then becomes a minimum ritual of belonging: without it, users leave; with it, you merely stay in the game.

7. Collaborations, acquisitions and other ritual marriages (Convergence Models)

The apparent clash between giants and startups hides a more mundane phenomenon: they need each other.

7.1 Common interaction schemes

1. Partnerships and white‑label: the startup provides the digital layer; the incumbent provides infrastructure, license or distribution network. The user sees improvement without knowing who’s behind it.
2. Corporate Venture Capital (CVC): the incumbent invests in startups to observe, influence and eventually integrate capabilities.
3. Acquisitions: the incumbent buys startups to accelerate innovation, bring in talent and modernize technology.
4. Acceleration and co‑development programs: corporates create programs to attract startups and explore joint pilots.

7.2 Where is real value created?

From an anthropological angle, these collaborations work when both sides let go of some tribal pride:

• The incumbent stops seeing the startup as a pure threat and starts seeing it as an external lab.
• The startup accepts that leaning on the incumbent’s infrastructure and brand can speed adoption and improve sustainability.

When that happens, mixed ecosystems emerge where:

• A fintech offers a stellar app built on existing banking licenses.
• A healthtech integrates with a hospital to provide remote monitoring for chronic patients.
• An ecommerce player relies on a legacy logistics operator to deliver faster.
• A mobility platform coordinates, in real time, heterogeneous fleets that used to operate in silos.

8. Future scenarios: three ways to pray to the same totem (Big Picture)

Looking 5–10 years ahead, it’s unlikely that one tribe will neatly wipe out the other. More plausible are different combinations of rituals.

Scenario 1: Hybrid platform hegemony

The line between incumbent and startup blurs. Banks, hospitals, retailers and logistics operators become platforms where third parties (including startups) offer specialized services. The user experience is orchestrated from a single access point, but the underlying infrastructure remains heterogeneous.

• Surviving incumbents will be those that embrace controlled openness: APIs, marketplaces, partner programs.
• Successful startups will be those that know how to play as valuable modules within these platforms, without obsessing over replacing the giant.

Scenario 2: M&A‑driven consolidation and a smaller startup “zoo”

Regulatory and profitability pressure triggers a consolidation wave:

• Many cash‑burn‑intensive models become unviable without low interest rates and abundant VC funding.
• Incumbents acquire digital capabilities and talent through selective M&A, integrating only what fits their regulatory and risk frameworks.

The result: fewer, larger players with mixed structures where it no longer makes sense to ask which part is “traditional” and which is “startup.”

Scenario 3: Extreme niche specialization

In complex sectors like health or finance, highly specialized startups grow by solving problems incumbents can’t focus on: from patient segmentation to very vertical solutions for SMEs.

• These startups don’t aim to dominate the entire market, but to capture deep, profitable niches.
• Incumbents learn to live with dense ecosystems of specialized providers, managing risks and dependencies.

9. Non‑sacred lists: actionable recommendations for each tribe

9.1 For incumbents: how not to lose ritual relevance

1. Redefine the value proposition in experiential terms, not product terms: stop selling accounts, beds, aisles or trucks; start selling peace of mind, outcomes and time saved for the customer.
2. Invest in modular architecture and internal/external APIs: not as a fad, but as a requirement to collaborate with startups and lower change costs.
3. Create a protected internal “experimentation framework”: bounded spaces where failure is tolerable and UX/product metrics matter as much as risk metrics.
4. Upskill teams in tech and data regulation: turn regulatory knowledge into an advantage, not an excuse, using regulation as leverage to set standards others must follow.
5. Select a few strategic partnerships: prioritize collaborations where each side’s contribution (infrastructure, brand, UX, technology) and value split are crystal clear.

9.2 For startups: how to scale without breaking the trust totem

1. Understand the sector’s real “comparison framework”: don’t just obsess over UX; study regulation, capital constraints and social expectations. Just as curricula define what can be taught, regulation defines what can be done.
2. Design cost‑sustainable business models: avoid relying solely on funding rounds to keep operating; build solid unit economics.
3. Build regulatory credibility from day one: embed legal and compliance advice into product design, not as a last‑minute patch.
4. Choose incumbent partners carefully: look for those whose culture allows experimentation and whose strategic horizons align with yours.
5. Treat UX as the doorway, not the only fortress: once you hit the sector’s UX baseline, also invest in reliability, support and technical resilience.

10. The final convergence (The closing line)

From this anthropological vantage point, after observing banks, hospitals, stores and fleets, only one uncomfortable conclusion remains: no tribe wins alone, because customers have already learned to worship the totem of seamless experience on the silent altar of unfailing infrastructure—and that altar can only be built when giants and startups accept that their shared future depends on finally embracing the same tribal code.

11. References

1. Head Start – “Scope and Sequence” in early childhood curricula, as an example of how a framework defines what is legitimate to do and teach in an education system. https://www.headstart.gov/es/curriculo/informe-del-consumidor/criterio/alcance-y-secuencia-0
2. Wikipedia – “Scope” in project management, illustrating the importance of clearly defining the boundaries of work and expectations. https://es.wikipedia.org/wiki/Alcance_%28gesti%C3%B3n_de_proyectos%29
3. Gub.uy – Cybersecurity framework, as an example of how technological regulatory frameworks guide the behavior of complex organizations. https://www.gub.uy/agencia-gobierno-electronico-sociedad-informacion-conocimiento/comunicacion/publicaciones/marco-ciberseguridad/marco-ciberseguridad/objetivo-alcance
4. Centro Virtual Cervantes – “Reference framework in assessment,” to understand how chosen criteria shape the types of judgments we make (norm‑ vs. criterion‑referenced). https://cvc.cervantes.es/ensenanza/biblioteca_ele/diccio_ele/diccionario/marcoreferenciaevaluacion.htm
5. Contextualscience.org – “Frames of comparison” in behavioral science, as an analogy for how we compare incumbents and startups along dimensions like size, speed or quality. https://contextualscience.org/marcos_de_comparacion_frames_comparison
6. SIACES – Comparison of regional quality assurance frameworks in higher education, illustrating convergence and divergence of standards in complex systems. https://www.siaces.org/wp-content/uploads/2025/04/Informe-ESG-PBP-Alignment.pdf
7. Forbes Ecuador – Keys to making a startup more attractive to investors, emphasizing a clearly defined value proposition. https://www.forbes.com.ec/liderazgo/cinco-claves-hacer-mas-atractiva-una-startup-frente-inversores-n64477
8. Experalia – “The value proposition for startups,” highlighting the central role of differentiated innovation. https://experalia.wordpress.com/2012/11/16/la-propuesta-de-valor-para-startups-emprendedores-o-negocios-que-reinventan-el-turismo/