Discuss leadership and conflicts

# How to Approach and Answer Use STAR for stories and be specific with metrics. Show mechanisms you use (processes, docs, cadences) so the interviewer can imagine you repeating the success. - Structure your answers: - Situation: Brief context and constraints. - Task: Your goal/role and what was at stake. - Action: Concrete steps, decisions, and leadership behaviors. - Result: Quantified outcomes and lessons learned. - What good looks like: - Numbers: latency, uptime, incidents, velocity, user/business impact. - Mechanisms: docs (RFCs/ADRs), metrics dashboards, clear cadences (standups/syncs), ownership (RACI), and decision records. - Collaboration: curiosity first, short feedback loops, transparent escalation. ## 1) Example Answer: Leadership in High-Growth Situation: Our product usage doubled quarter-over-quarter, triggering frequent incidents and missed SLAs during peak hours. Engineering team: 8 developers; I was a senior IC informally leading reliability. Task: Stabilize reliability without blocking a critical launch scheduled in 6 weeks. Action: - Formed a tiger team (4 engineers) with clear ownership and a weekly goal review. Established a 30-minute reliability standup and a shared dashboard. - Defined an error budget and set a target of 99.95% availability; created on-call runbooks and a lightweight incident review template. - Addressed top offenders: implemented rate limiting and idempotent retry semantics; moved long-running writes to a background job queue; added caching for read-heavy endpoints; introduced circuit breakers around a flaky dependency. - Wrote concise RFCs to keep the broader team aligned; mentored two mid-level engineers to own sub-systems. Result: - Reduced p99 latency from 1.8s to 650ms and dropped daily incidents from 6 to 1 within 5 weeks. - Met the launch date; maintained 99.96% availability for the quarter; on-call pages decreased 70%. - Institutionalized a weekly reliability review and an RFC/ADR habit that the team still uses. Why this works: Shows leadership without formal authority, prioritization under pressure, measurable impact, and repeatable mechanisms. ## 2) Example Answer: Collaborating with an Unresponsive/Dismissive PM Principles: Lead with curiosity and data; make decisions easy to react to; create default paths that keep progress moving; escalate transparently when needed. Steps: 1) Diagnose with empathy: “I’ve noticed we often wait >5 days for backlog clarifications, which risks our sprint goals. Is bandwidth the issue, or should we adjust process?” 2) Propose a lightweight working agreement: - Weekly 25-minute sync with a rolling agenda and clear owners. - Async one-pagers for key decisions (problem, options, trade-offs, recommendation) with a 48-hour response SLA. - Decision rule: If no response in 48 hours, proceed with the documented recommendation; PM can course-correct later with change cost acknowledged. 3) Make decisions reactable: Provide a strawman (Option A/B with trade-offs). Use a simple table and a clear recommendation. 4) Close the loop: Summarize agreements and decisions in a decision log; share with stakeholders; tag owners and deadlines. 5) Escalate respectfully if blocking persists: “We’ve missed two sprint goals due to unresolved requirements; to avoid slipping the launch, I’m looping in our EM/PM lead to align on response SLAs.” Sample language: - Observation-impact-request: “When requirements change late without notes, we spend ~12 extra engineering hours per sprint. Can we commit to a 48-hour review of one-pagers and capture decisions in the ticket?” Result you can cite: “After implementing the one-pager + 48-hour SLA, backlog churn dropped 40%, and we shipped the pricing feature one sprint earlier.” Pitfalls to avoid: - Publicly calling out; keep first conversations 1:1 and solution-oriented. - Pushing code without any documented approval path; always keep a traceable decision record. ## 3) Example Answer: Resolving a Technical Conflict Situation: The team was split between adopting a new message queue vs. extending our existing job system for an ingestion pipeline. Stakes: reliability and time-to-market for a partner launch in 6 weeks. Task: Facilitate a decision that balanced delivery speed with long-term operability. Action: - Aligned on success criteria with the team: throughput ≥10k msgs/min, at-least-once delivery, p99 < 800ms, operational burden (on-call) ≤2h/week, and minimal new infra in this phase. - Built a weighted decision matrix (weights sum to 1): - Score(option) = Σ weight_i × score_i, where scores are normalized 0–1 against criteria. - Time-boxed 3-day spikes: measured throughput, failure recovery, and operational complexity for both options. - Facilitated a review: presented data, trade-offs, and a recommendation; clarified that this was a “two-way door” decision with a revisit trigger if throughput needs exceed 20k msgs/min. - Captured the outcome in an Architecture Decision Record (ADR) with rollback plan and owners. Result: - Chose to extend the existing job system; delivered 3 weeks faster; met p99 latency at 600ms and sustained 12k msgs/min; zero incidents in first 60 days. - Documented a revisit threshold and a migration path, which kept both camps aligned post-decision. Why this works: Shows neutrality, data-driven facilitation, reversibility thinking, and durable documentation. ## Guardrails, Templates, and Checks - STAR cheat-sheet: Situation (1–2 lines), Task (stakes + role), Action (3–5 concrete steps), Result (metrics + learning). - Decision one-pager sections: problem, constraints, options, trade-offs, recommendation, risks, decision owner, SLA for feedback. - ADR essentials: context, decision, status, consequences, revisit triggers, owners, date. - Metrics to include: latency, error rates, incident count, time-to-restore, dev throughput (cycle time, story count), impact to launch timelines. By combining clear structure, measurable outcomes, and repeatable mechanisms, you demonstrate leadership, effective cross-functional collaboration, and technical conflict resolution suitable for a high-growth environment.