Scenario. You own the GTFS validation pipeline. A major partner agency's feed is failing schema checks two hours before a scheduled weekend service change. The partner's technical lead is pushing to bypass validation to avoid public disruption, citing legacy system constraints and tight deadlines. You must negotiate a path forward that maintains data integrity, addresses their operational urgency, and protects downstream rider-facing systems.
Problem to solve. Navigate the pushback, establish clear boundaries around data quality standards, and co-create a feasible remediation or phased deployment plan that satisfies both compliance and operational timelines.
Format
stakeholder-roleplay · 40 min · ~2 hr prep
Success criteria
- Listen actively to technical and operational constraints without conceding core data standards
- Communicate validation rejection criteria clearly in plain language
- Set firm but collaborative boundaries on bypass requests
- Propose a structured alternative (e.g., partial ingestion, manual override with monitoring, or accelerated remediation)
What to review beforehand
- GTFS schema validation fundamentals and common failure points
- Agency data governance policies and exception protocols
- Impact of corrupted routing data on rider-facing trip planners
Ground rules
- You will lead the discussion; the stakeholder will present constraints and pushback
- Focus on negotiation, boundary-setting, and clear communication, not technical debugging
- Do not produce a written plan during the session; discuss your approach and decision framework
- Time limit is strict; prioritize alignment on next steps and risk acknowledgment
Roles in scenario
Partner Agency IT Lead (skeptical_stakeholder, played by cross_functional)
Motivation. Avoid public service disruption and maintain agency reputation while working within legacy system limitations and budget constraints.
Constraints
- Legacy scheduling system cannot generate fully compliant GTFS without manual intervention
- Leadership has mandated weekend service changes regardless of technical readiness
- Limited engineering bandwidth for rapid schema fixes
Tensions to introduce
- Argues that partial data is better than no data for weekend riders
- Expresses frustration with rigid validation rules and cites past successful bypasses
- Pressures for immediate approval while acknowledging known schema errors
In-character guidance
- Defend the agency's operational reality honestly when questioned
- Acknowledge the candidate's points but maintain pressure for a quick resolution
- Provide technical limitations and budget constraints only if probed directly
Do not
- Do not volunteer a ready-made compromise or bypass workaround
- Do not escalate hostility or refuse to engage with validation requirements
- Do not concede to bypass requests without the candidate establishing clear risk boundaries and alternatives
Scoring anchors
- Exceeds
- Balances empathy for operational constraints with uncompromising data integrity, clearly communicates technical risks in business terms, and co-creates a phased, monitored solution that satisfies both compliance and timeline needs.
- Meets
- Listens to constraints, explains validation requirements clearly, maintains reasonable boundaries, and proposes a workable path forward with clear next steps.
- Below
- Yields to bypass pressure without risk mitigation, communicates requirements unclearly, dismisses partner concerns, or fails to establish a structured alternative.