R083 - Startup Mentality, with Adriana Landaverde

When we think of a startup, we often picture investment rounds, unicorns, and growth headlines. But there's another part that I find much more interesting: the urgency and hunger to understand what truly generates value for their customers.

Successful startups live in a state of constant search, testing, measuring, and making evidence-based decisions. With relentless discipline, learning and trying again, they base their culture on results rather than opinions or hierarchies.

Today I want to explore with Adriana Landaverde, Fractional Chief Product Officer, what we can learn from that mentality. What lessons can be transferred to the corporate world or other contexts where there may not be that daily pressure to survive, but where it's also necessary to ensure that what we build, what we do, truly creates impact.What would you like us to know about you?I am originally from El Salvador, but I consider myself a citizen of the world. My training as a Product Manager began in the United States, right at the time of the 2009 financial crisis. Large companies stopped hiring, but startups were still looking for talent.

That's where I started my career in startups, without really knowing how the concept of equity worked. Over time I learned, and to this day, I have not returned to work in a large corporation. I have been fortunate to be part of three successful startup exits, the most exciting being Trulia's IPO in 2012.

Did you know you wanted to focus on product?Yes, I always knew I wasn't going to be technical, as my background is in economics and business. Initially, I thought about entering a technical role, but then I discovered that my strength was in product, particularly in understanding how to increase a product's value for the user. My experience at Expedia allowed me to delve into the product world and realize the impact I could generate.Product Market Fit is when more than 40% of your users would be very disappointed if your product ceased to exist.

What is Product Market Fit and how is it measured?Product Market Fit is when a product perfectly fits the market's need. In the early stages of a startup, you have to validate if the product truly meets a market need. To measure it, there are metrics like how many people would be disappointed if the product ceased to exist.If more than 40% of users say they would be very disappointed, that's a good indication that you're on the right track.If a hypothesis doesn't work, it's not a failure, it just means that hypothesis wasn't correct. The important thing is to learn quickly and try another.What is your approach to helping startups find Product Market Fit?Many founders fall in love with their idea and sometimes struggle to understand that the market won't always want what they offer.My role is to help them distance themselves and question the hypotheses guiding their product.

And sometimes I think I have the privilege of being external and asking: What signals do you have? How much is it costing you to acquire each user? And do you see a path to monetization, because today everything is free, when will you start?

Questions that in the end are logical, that should flow, but that the founder, due to the passion with which they see their idea, struggles to understand.

This helps them see if the market is truly responding or if they need to pivot.

How is a hypothesis validated in a startup?

The most important thing is to treat validation as an experiment. If a hypothesis doesn't work, it's not a failure, it just means that hypothesis wasn't correct. The most common mistake is not learning from failures, but if you validate quickly, you can test another hypothesis and continue the process.The scientific method is fundamental: formulating hypotheses, testing them, and learning from the results.Large companies should think about how to do their work in the most efficient way, as if they were working with limited resources, just like in a startup.
How do you see the role of investors in this process?

Often, investors pressure startups to achieve quick results, which can create tensions within the team. More and more, founders seek to be independent and generate revenue earlier, allowing them to avoid external investor pressure. This gives them the freedom to make strategic decisions without relying so much on external investment.

The key in startups is the speed to learn and adapt. With AI tools, the product development and validation cycle will accelerate.

What can traditional companies learn from the startup mentality?Large companies can learn to work with resource scarcity.Even though they have more stability, the current environment has shown us that stability is illusory. Companies must think about how to do their work more efficiently, incorporate agility, and use tools like artificial intelligence to reduce times and improve processes.

Artificial intelligence can help make the prototyping process, data analysis, and information synthesis more efficient, but it should never replace the empathy gained from listening to the user.

Where do you see artificial intelligence adding value in product development?
Artificial intelligence can be very useful in prototyping, data analysis, and information synthesis.It can accelerate the user research process, but it should never replace real interactions with customers.The empathy gained from directly listening to the user cannot be substituted by technology, but AI can help make the synthesis and analysis process more efficient.

How do you, as a consultant, create impact?

My goal is to help startups validate their ideas efficiently, so they don't waste unnecessary resources in the process. I want more women to found startups and for them to be successful. My focus is on making experimentation faster and more accessible, so entrepreneurs can achieve success without wasting money or time.

What would make you return to a large corporation?

The team. For me, people are key. If there's a team with which I share a work culture based on psychological safety, where we can openly debate and make decisions without fear of being blamed, I might consider it. But it has to be a team aligned and committed to the same results.

What do you see as the biggest challenge for large companies?

The lack of autonomy and agency is one of the biggest challenges in large companies.

Often, employees don't have the ability to make decisions or try new ideas, which hinders innovation. This can be improved by fostering a culture that values autonomy, calculated risk-taking, and teamwork to generate results.How do you see the future of product development in startups?I believe startups will continue to evolve towards more agile and iterative models. The key is the speed to learn and adapt.With AI tools and other emerging technologies, the product development and validation cycle will accelerate, allowing companies to quickly adapt to changing market needs.The conversation with Adriana leaves us with a powerful idea. You don't have to be in a startup to adopt that constant search mentality. The discipline of experimenting, measuring, and deciding with evidence is not just for those pursuing product market fit, because it's also crucial in large organizations where the risk is not disappearing, but becoming irrelevant.
The value lies in how that urgency translates into practices applicable to any context.

Truly listening to customers, connecting metrics with business objectives, and having the courage to stop what doesn't work to bet on what does.

In the end, the question we should always ask ourselves is the same: Is what we're building really creating impact?

Las grandes empresas pueden aprender a trabajar con escasez de recursos.

Aunque tengan más estabilidad, el entorno actual nos ha demostrado que esa estabilidad es ilusoria. Las empresas deben pensar en cómo hacer su trabajo de manera más eficiente, incorporar la agilidad y usar herramientas como la inteligencia artificial para reducir tiempos y mejorar procesos.
 

La inteligencia artificial puede ayudar a hacer más eficiente el proceso de prototipado, análisis de datos y síntesis de información, pero nunca debe reemplazar la empatía que se obtiene al escuchar al usuario.

¿Dónde ves que la inteligencia artificial puede aportar valor en el desarrollo de producto?

La inteligencia artificial puede ser muy útil en el prototipado, análisis de datos y la síntesis de información.

Puede acelerar el proceso de investigación de usuarios, pero nunca debe reemplazar las interacciones reales con los clientes.
La empatía que se obtiene al escuchar directamente al usuario no se puede sustituir por tecnología, pero la IA puede ayudar a hacer más eficiente el proceso de síntesis y análisis.
 

¿Cómo crea impacto un consultor como tú?

Mi objetivo es ayudar a las startups a validar sus ideas de manera eficiente, para que no gasten recursos innecesarios en el proceso. Quiero que más mujeres funden startups y que estas sean exitosas. Mi foco está en hacer más rápida y accesible la experimentación, para que los emprendedores puedan llegar al éxito sin malgastar dinero ni tiempo.

¿Qué te haría volver a una gran corporación?

El equipo. Para mí, las personas son clave. Si hay un equipo con el que comparto una cultura de trabajo basada en la seguridad psicológica, en la que podamos debatir abiertamente y tomar decisiones sin miedo a ser culpados, podría considerarlo. Pero tiene que ser un equipo alineado y comprometido con los mismos resultados.

¿Qué ves como el mayor reto para las grandes empresas?

 La falta de autonomía y agencia es uno de los mayores retos en las empresas grandes.

A menudo, los empleados no tienen la capacidad de tomar decisiones o de probar nuevas ideas, lo que frena la innovación. Esto se puede mejorar fomentando una cultura donde se valore la autonomía, la toma de riesgos calculados y el trabajo en equipo para generar resultados.

¿Cómo ves el futuro del desarrollo de producto en las startups?

Creo que las startups seguirán evolucionando hacia modelos más ágiles e iterativos. La clave es la velocidad para aprender y adaptarse.
Con las herramientas de IA y otras tecnologías emergentes, el ciclo de desarrollo y validación de productos se acelerará, lo que permitirá a las empresas adaptarse rápidamente a las necesidades cambiantes del mercado.

La conversación con Adriana nos deja una idea poderosa. No hace falta estar en una startup para adoptar esa mentalidad de búsqueda constante. La disciplina de experimentar, medir y decidir con evidencia no es solo para quienes persiguen el product market fit, porque también es crucial en organizaciones grandes donde el riesgo no es desaparecer, sino volverse irrelevantes.
Lo valioso es cómo esa urgencia se traduce en prácticas aplicables a cualquier contexto.

Escuchar de verdad a los clientes, conectar métricas con objetivos de negocio y tener la valentía de parar lo que no funciona para apostar en lo que sí.
Al final, la pregunta que deberíamos hacernos siempre es la misma: ¿Lo que estamos construyendo realmente está creando impacto?