Technical practice
Designing Human-in-the-Loop AI Workflows
What to coverExplain how you would design a workflow where an AI agent assists in strategy execution while maintaining human oversight. Focus on where you would place 'human-in-the-loop' checkpoints to ensure auditability and accuracy for enterprise-grade decisions.
Implementing RAG for Enterprise Strategy
What to coverDescribe how you would architect a Retrieval-Augmented Generation (RAG) system to ensure AI outputs are grounded in specific enterprise data sources. Discuss how you would handle data quality, source evidence, and confidence indicators to build user trust.
Rapid Prototyping for Complex Enterprise Problems
What to coverHow do you use tools like Figma to translate abstract strategy problems into tangible, testable prototypes? Explain your process for validating these concepts with executive stakeholders before committing to full-scale engineering.
Managing Agentic Workflows in SaaS
What to coverWhat are the key considerations when defining the behavior and constraints of an AI agent within a B2B platform? Address how you define agent inputs, outputs, and feedback loops to ensure the system remains predictable and useful.
Balancing Product Strategy with Agile Execution
What to coverIn a build-stage environment, how do you reconcile long-term product vision with the need for fortnightly release plans? Explain your approach to prioritizing the backlog based on customer value, technical dependencies, and commercial potential.
Structured Problem Solving in Product Discovery
What to coverDrawing on consulting methodologies, how do you conduct product discovery with senior stakeholders to identify high-value problems? Suggestion: Focus on how you frame hypotheses, validate assumptions, and translate qualitative insights into actionable product requirements.
Ensuring Enterprise-Grade Governance
What to coverWhen building AI-native features, what specific governance and security controls are necessary for enterprise adoption? Discuss the importance of role-based access, audit trails, and data quality in the context of strategy execution platforms.
Communicating Technical Concepts to Non-Technical Stakeholders
What to coverHow do you bridge the gap between AI engineering teams and executive clients? Explain how you translate complex AI capabilities into value narratives that resonate with business leaders.
Behavioural practice
Navigating Ambiguity in a Build-Stage Environment
What to coverDescribe a situation where you had to define a product direction with limited information or shifting priorities. Use the STAR method to explain how you maintained momentum and ensured the team remained aligned on the core vision.
Managing Conflicting Stakeholder Requirements
What to coverTell me about a time you had to balance the needs of different stakeholders, such as engineering, sales, and executive leadership. How did you prioritize features while maintaining the integrity of the product roadmap?
Learning from Product Failure
What to coverDescribe a time when a feature or prototype you launched did not meet user expectations or business goals. What was your process for analyzing the failure, and what specific changes did you implement in your next iteration?
Applying Consulting Rigor to Product Development
What to coverProvide an example of how you have applied structured, analytical thinking to solve a complex product challenge. Explain how this approach helped you identify the root cause and deliver a more effective solution.