1. Experience-First & Customer Voice
Collect and synthesize customer feedback via surveys, Customer Voices, workshops, and interviews.
Use AI tools like Claude to cluster themes, summarize insights, and draft persona narratives faster.
Represent the voice of the customer in engineering discussions, backed by data and AI-assisted analysis of support tickets, usage data, and feedback.
Validate requirements with end-users and present upcoming features in forums, using AI to generate clear demo scripts and FAQs.
2. Translate Product Strategy with AI Augmentation
Own and manage the team backlog. Provide regular progress updates vs. roadmap to stakeholders
Define user personas and journey maps, using Claude to draft initial versions from research notes and refine with stakeholders. Create high-level problem scopes and write clear Epics and Stories using INVEST principles.
Leverage AI tools to improve acceptance criteria, edge case coverage, and Definition of Ready/Done.
Collaborate with Lead Developer, Architect, and UX/UI to balance cost, time, and performance. Use AI to generate options analysis, technical spike summaries, and trade-off docs.
3. Product Planning & Delivery
Own PI and Iteration Planning for your team, aligned to short and long-term product vision.
Facilitate backlog refinement and estimation sessions.
Use AI to prep agendas, summarize past velocity, and draft risks. Track estimated vs. actual development costs at Initiative, Sub-Initiative, and Epic level.
Manage tactical release readiness: use Claude to draft release notes, user guides, and EA/BETA communications, then validate with SMEs.
4. Product Expertise & AI-Driven Insight
Develop deep knowledge of your product’s capabilities, limitations, and integrations.
Act as the product evangelist. Use AI to create competitive teardowns, market summaries, and internal enablement content.
Analyze product analytics and user behavior data. Partner with Data teams and use AI to identify trends, anomalies, and feature adoption insights.
Support priority escalations via the 911 process. Use AI to summarize logs and customer context to speed up triage.
5. Cross-Functional Collaboration & Decision Making
Build strong relationships with Engineering, UX/UI, Support, and Commercial teams.
Make informed decisions using data, customer insight, and AI-assisted research.
Document rationale clearly.
Foster an Agile mindset.
Champion responsible AI use within the team to improve cycle time without compromising quality.