Technology & AI · Information Systems

El Ágil: Agile at Scale, Product Management & Technology Strategy

Simulación para practicar liderazgo tecnológico en una fintech mexicana: selección de marco ágil a escala, rescate de equipo en crisis, asignación de capacidad de ingeniería bajo restricciones regulatorias, y decisión de adquisición Build vs. Buy vs. Partner

4 rounds Executive

Preview

What participants learn

After the session, participants will be able to:

  • Evaluate competing agile-at-scale frameworks and defend a choice, recognising that dependency contracts and platform design matter more than the framework at 50 to 100 engineers
  • Apply Brooks's Law and cost of delay to a late-project turnaround, and separate a talent-retention decision from a performance decision
  • Analyze an engineering capacity plan under a hard regulatory deadline, recognising that squads are not interchangeable and identifying the binding constraint
  • Evaluate a build, buy or partner decision for an AI capability and price a contingent data-provenance risk instead of treating it as a footnote
  • Translate each engineering decision into financial terms tied to the revenue mandate, using DORA metrics as the measurement bridge

Prerequisites

  • Basic agile and Scrum vocabulary
  • Time value of money

Who it is for

An advanced simulation for participants used to working with the main frameworks and trade-offs of the subject, designed for executive education and experienced professionals.

How a session runs

  1. The instructor creates a session from the Eureka dashboard and invites the participants.
  2. Participants play 4 rounds. In each one they submit their decisions and the simulation calculates the results.
  3. The instructor follows each participant's progress and results from the dashboard, and uses the class results for the debrief.

Decisions participants make

The decisions participants make during the simulation:

  • Scaling Framework
  • Implementation Budget (MXN M)
  • Create dedicated Platform Team (extract from Squad Zeta)
  • Primary DORA Metric Target
  • Squad Gamma Turnaround Option
  • Mariana Ruiz (Tech Lead) Decision
  • Mandate 2-week test coverage sprint before new features (34% to 60%)
  • Regulatory Compliance (CNBV) — minimum 38
  • Tech Debt Remediation — recommended 16
  • SDK v4.0 Completion — needed ~18

Subjects covered

Designed for courses in Information Systems.

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