Digital Product Manager
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- Find the right digital problem, define the journey and turn evidence into a product strategy
- Shape usable web/mobile experiences, technical interfaces and measurable experiments
- Scale growth, reliability and AI-enabled digital experiences with disciplined launch quality
Benchmark: Starbucks Senior Digital Product Manager, App & Web Ordering + AppleCare Digital Product Operations + Stanford/Harvard product-development practice (current Sep 2026) Market refresh: digital customer journeys, mobile/web product strategy, discovery and UX, roadmap and prioritization, analytics and experimentation, APIs/platform tradeoffs, growth and lifecycle, reliability, accessibility and AI-enabled experiences.
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Enrichment
Find the right digital problem, define the journey and turn evidence into a product strategy
Customer discovery + digital journey framing
Coverage: Product Discovery / Customer Research / Journey Mapping / Jobs-to-be-Done
Product strategy, value proposition + roadmap
Coverage: Product Strategy / Value Proposition / Prioritization / Outcome Roadmaps
Shape usable web/mobile experiences, technical interfaces and measurable experiments
UX prototyping, usability + accessibility
Coverage: Design Sprint / Prototyping / Usability / Accessible Digital Experiences
Web/mobile architecture, APIs + platform tradeoffs
Coverage: APIs / Systems Architecture / Scalability / Integration Contracts
Scale growth, reliability and AI-enabled digital experiences with disciplined launch quality
Product metrics, experimentation + growth loops
Coverage: North Star / Funnel / Retention / A-B Tests / Growth
Reliability, AI quality + launch readiness
Coverage: SLOs / Rollout / AI Evals / Safety / Accessibility / Incident Learning
Role-Readiness Proof / Capstone
Complete a 5-day Digital Product Lab: select one app/web journey; interview or observe users; map the current funnel and pain points; write a PRD with measurable outcomes and accessibility requirements; prototype and usability-test the flow; define API/data dependencies; instrument analytics; design an A/B test; model rollout, reliability and fallback; add one responsible AI-enabled feature where useful; present a launch decision with roadmap, risks and expected impact.
Proof Rubric
- Evidence-backed problem choice
- clear journey and outcome metrics
- coherent prioritization
- testable prototype
- accessibility and usability evidence
- credible API/data tradeoffs
- instrumentation and experiment design
- measurable growth or retention logic
- launch reliability and rollback
- responsible AI quality gates
- concise executive product narrative