“Experienced, curious, and genuinely passionate about the intersection of AI and Product.”
Mane Mirzakhanyan · Senior Product Manager at ~
Assessed
Oct 7, 2026
Verification
Practical Product Management Verification
Verdict: passed
Anna is an experienced product professional with a strong interest in AI and its application to Product Management.
3 demonstrated1 partial
She demonstrates solid product thinking and brings valuable experience that she can build on when exploring AI-driven product opportunities. The main opportunity is to further strengthen her ability to evaluate AI use cases systematically, validating the opportunity, and translating it into measurable product outcomes.
Demonstrated solid product-management experience and was able to connect AI opportunities with broader product thinking.
Product Discovery
Demonstrated
Her Business Analyst background gives her a strong foundation in Product Discovery. She demonstrated a structured approach to understanding problems and requirements, and showed genuine enthusiasm for exploring and solving the right product problems.
Product Execution
Demonstrated
Her experience gives strong evidence of being able to take product ideas through implementation and work across relevant stakeholders.
Product-Market Fit
Partial
She showed good intuition for identifying where AI could create product value, but the discussion provided less evidence of a structured approach to validating customer demand, target segments, and measurable business impact before taking the opportunity.
Evidence
What happened in the session
Anna brought strong product experience and demonstrated a solid analytical mindset, supported by her Business Analyst background. She showed particular enthusiasm for applying AI to product challenges and was able to identify potential opportunities where AI could add value. The main area for further development was evaluating these opportunities more systematically, starting with the customer problem and target segment, validating demand, and defining how success and business impact would be measured.
Action plan
What to do next
1
Complete the IBM AI Product Manager course to strengthen her understanding of AI product development, ML concepts, and AI-specific product practices.
2
Identify AI opportunities in her current work by looking for real customer or business problems where AI, data, or ML could create meaningful value.
3
Build small AI-driven products or prototypes to gain hands-on experience turning problems into solutions using data, ML models, and AI capabilities.
4
Measure the outcomes of these experiments and use the results to understand what works, what doesn’t, and where AI can create real product value.
