The Evolution of Friction: From Fields to Intent

2021: The Technical Hypothesis In my 2021 Mobile Analytics certification, the focus was on technical friction: “Problem: The lead generation form is too long. Hypothesis: By reducing form fields from 20 to 10, we will increase the number of leads.” Back then, we solved problems through simplification. Success was measured by the quantity of data points.

2026: The Structural Reality Today, at Johanna Diezica Boutique Advisory, we look beyond the surface. In a world of AI agents and automated workflows:

• Quality over Quantity: We no longer just "shorten forms." We architect systems that capture High-Intent signals.

• Strategic Friction: Sometimes, more fields are necessary to filter out noise.

• Outcome: We don’t just increase the number of leads; we ensure the structural integrity of the entire business conversion cycle.

The takeaway: My methodology has evolved from optimizing interfaces to architecting resilient business structures.

What do car design in the 1960s and today's decentralized finance have in common? Bézier curves—and the matrix algebra behind them.

A recent paper on UBC-based sAMMs shows how these classic mathematical tools solve a very modern problem: creating bonding curves that adapt to a project's entire lifecycle—from capital raising to maturity. The authors highlight that this model "implements desirable characteristics of conventional share-based companies with accumulated future value derived from generated revenues." In other words, it merges the logic of traditional equity with the flexibility of DeFi.

For me, this is a perfect example of why foundational knowledge matters. While AI crunches data, it takes human insight to see where the next "tree on the tracks" will fall—and to adjust the curve accordingly. Universities gave us the lens; now we apply it to new realities.

#BusinessStrategy #FinTech #BezierCurves #ValueCreation #Consulting #Innovation