- Metrics and impact: Engagement, task completion time, retention, satisfaction, and operational efficiency.
- Advanced concepts (less common): Platform ecosystems, interoperability strategies, portfolio trade-off frameworks.
Example questions or scenarios:
- "Design a 12–18 month roadmap to elevate ASU’s mobile app from parity to a differentiated, task-completion experience. What outcomes and metrics define success?"
- "You have three high-priority requests from different units. How do you align leadership and decide sequencing?"
- "Which KPIs would you choose to link mobile engagement to student retention, and why?"
User-Centered Discovery in Higher Education
Interviewers assess your research rigor and empathy for diverse users, including first-generation learners and staff with complex workflows. You’ll need to show how you validate needs, synthesize insights, and convert them into testable hypotheses and requirements.
Be ready to go over:
- Discovery approach: Mixed-methods research, segmentation, and journey mapping for multi-audience products.
- Prototyping and experimentation: Lo-fi to hi-fi testing, A/Bs, pilots with governance in mind.
- Accessibility and inclusion: WCAG compliance, inclusive design for diverse needs and devices.
- Advanced concepts (less common): Behavior change models, service design across digital and in-person touchpoints.
Example questions or scenarios:
- "Walk us through how you’d validate whether an AI assistant should handle financial aid questions."
- "How do you ensure a mobile feature meets WCAG 2.1 AA while maintaining usability and performance?"
- "Describe a time discovery insights changed your roadmap priorities."
Technical Fluency: Mobile Platforms and Agentic AI
You won’t be expected to code, but you must be technically conversant—especially on mobile architectures, integrations, and responsible AI capabilities. The bar includes understanding trade-offs, data flows, privacy risks, and feasibility.
Be ready to go over:
- Mobile fundamentals: Native vs. cross-platform trade-offs, push messaging, SDKs, performance, and offline states.
- Platforms and integrations: APIs, SSO (SAML/OAuth), data pipelines, analytics (GA4/Mixpanel/Amplitude).
- Agentic AI: Use cases, orchestration patterns, guardrails, explainability, human-in-the-loop.
- Advanced concepts (less common): Prompt engineering patterns, retrieval-augmented generation, telemetry/observability for AI.
Example questions or scenarios:
- "Where would you embed AI within the mobile journey to reduce time-to-task without eroding trust?"
- "A new feature requires integrating identity data and academic records. How do you assess feasibility and risks?"
- "Explain how you’d measure and mitigate model hallucinations in a student-facing assistant."
Execution and Delivery in Complex Institutions
This area gauges how you ship outcomes across multiple teams, systems, and stakeholders. Interviewers look for structured planning, dependency management, and clear operating rhythms that keep discovery and delivery in sync.
Be ready to go over:
- Planning and alignment: Milestones, RACI, risks, and cross-team operating cadences.
- Backlog quality: Outcomes over output, hypothesis-driven epics, crisp acceptance criteria.
- Change management: Releases, training, and adoption strategies across departments.
- Advanced concepts (less common): Portfolio management, funding models, value stream optimization.
Example questions or scenarios:
- "Describe how you’d launch a university-wide mobile update with cross-campus dependencies."
- "How do you rescue a roadmap at risk due to upstream data quality issues?"
- "Walk us through your artifact stack: PRDs, discovery briefs, dashboards, and release notes."
Leadership, Influence, and Product Culture
ASU values leaders who build trust, grow people, and elevate product practice. Expect to discuss stakeholder dynamics, conflict resolution, and how you coach teams to operate with outcomes and ownership.
Be ready to go over:
- Influence without authority: Negotiating scope, resolving conflicts, aligning on outcomes.
- Coaching and mentorship: Uplifting PM craft, discovery habits, and data literacy.
- Communication: Executive updates, decision logs, crisp narratives for non-technical stakeholders.
- Advanced concepts (less common): Org design for platforms, measurement cultures, governance frameworks.
Example questions or scenarios:
- "Tell us about a time you shifted a team from order-taking to outcome ownership."
- "How do you manage stakeholder requests that conflict with responsible-use principles?"
- "Describe your approach to quarterly business reviews and learning agendas."