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Stakeholder Alignment: $3M Data Platform Migration (Redshift to Databricks)
| Skill: stakeholder-alignment | Frameworks: Power-Interest-Position, Coalition Analysis, Decision Archaeology, Alignment Sequencing, Objection Pre-emption, Communication Strategy, Alignment Monitoring |
Scenario
Four VPs must align on a $3M data platform migration from Amazon Redshift to Databricks Lakehouse, with an 8-week decision deadline driven by Redshift contract auto-renewal.
- VP Engineering (Chen) — Champion. Wants modern tooling and ML pipeline enablement.
- VP Finance (Ramirez) — Skeptic. Sees $3M cost with unclear ROI; killed a similar proposal in 2024.
- VP Product (Okafor) — Neutral. Needs analytics uptime guarantee after a Q1 2025 outage.
- VP Design (Park) — Unengaged. Hasn’t been consulted; doesn’t see relevance to her UX research team.
Key Findings
- Coalition dynamics matter more than individual persuasion. The alignment sequence must build a 3-VP coalition (Engineering + Design + Product) before engaging Finance, changing the dynamic from “one VP wants expensive new toys” to “the organization has decided.”
- Decision Archaeology reveals the real blocker. Ramirez’s opposition is not anti-technology — it’s reputation protection after a 2024 cloud cost overrun. Her conversion conditions are addressable: phased spending with kill gates, cost-of-inaction analysis, and co-authorship of financial controls.
- The Design VP is a low-cost, high-value conversion. Park’s non-engagement is an information gap, not opposition. A single briefing from the Engineering VP (trusted messenger) converts her from wildcard to ally.
- Inaction costs $2.1M. The Redshift auto-renewal reframes the decision from “should we spend $3M?” to “which $2M+ commitment is the better investment?”
Evidence Quality
51 evidence points: 86% at T1-T3 (direct observation, credible secondhand, structural inference). Park’s position assessment is the weakest (T3-T5) and flagged as EVIDENCE-LIMITED.
View the full interactive showcase for the complete alignment strategy with meeting scripts, objection playbooks, and recovery plans.