Entrepreneurship & Innovation · Corporate Entrepreneurship

Startup Inside — Fund, Validate and Gate a Venture at Bandeira Labs

A four-round, advanced corporate-venturing simulation set inside Bandeira Labs, the ring-fenced innovation unit of Bandeira Logística S.A., a fictional São Paulo last-mile logistics company (R$2.1 billion revenue, 6,400 staff, ~480,000 parcels a day).

4 rounds Executive English, Español

Preview

About this simulation

A four-round, advanced corporate-venturing simulation set inside Bandeira Labs, the ring-fenced innovation unit of Bandeira Logística S.A., a fictional São Paulo last-mile logistics company (R$2.1 billion revenue, 6,400 staff, ~480,000 parcels a day). Bandeira Labs has launched four ventures in three years and killed three of them late, burning roughly R$14 million on products that scaled before they were validated.

The CEO has imposed a lean-startup gate: no venture gets growth capital until it shows validated learning, and every venture has a fixed runway with a forced go/no-go gate. You run the first cohort under the new rule, with a hard R$9 million budget and a 9-month runway (burn ~R$1.0M/month).

Playing the Corporate-Venture Lead you (1) choose ONE of three pre-screened ideas — RotaSmart (huge market but a 9–12 month enterprise sales cycle selling to your own competitors), EntregaFlex (the sponsor's safe pick, thin margins, validated on one verbal 'interest'), or DevolveJá (an underserved returns problem with uncertain willingness-to-pay) — matching idea to runway and naming the single riskiest assumption rather than chasing market size or sponsor enthusiasm; (2) scope an MVP and a falsifiable test plan, choosing concierge/fake-door minimalism over a R$4M+ full build that consumes the runway, and setting a R$0.9–1.6M validation-sprint budget; (3) read month-3-to-6 evidence that partially contradicts the plan and make the call — persevere toward a R$25M internal Series-A, pivot the segment while runway remains, or kill cleanly — judged on the ≥35% paid-pilot conversion bar and remaining runway, not on sunk cost or vanity metrics; and (4) pitch the gate to a facilitator-played investment committee, defending whether the runway bought learning or just build.

The math rewards disciplined, evidence-led, runway-aware lean-startup play and punishes the five classic errors — sponsor-driven selection, market-size seduction, building before validating, vanity-metric validation, and sunk-cost perseverance or a late kill. Final KPIs track Validated Learning, Customer Traction, Runway remaining and Budget burned against the R$9M cap.

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 simulation can be run in English, Español.
  4. 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:

  • Which idea does Bandeira Labs fund with its one runway?
  • What drives the choice — evidence, or the loudest voice in the room?
  • Name the single riskiest assumption you must test first
  • How disciplined is your selection — evidence over enthusiasm? (%)
  • How do you build the MVP for the validation sprint?
  • What counts as evidence the test must produce?
  • Validation-sprint budget — how much of the R$9M to spend now? (R$ millions)
  • Hypothesis focus — test one or two, or scatter the sprint?
  • The month-3-to-6 data is mixed. How do you read it?
  • Go / no-go / pivot — what is the call against the milestones?

What participants track

What participants follow on screen as the rounds go by:

  • Learning, Traction & Runway

Subjects covered

Designed for courses in Corporate Entrepreneurship.

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