Product Strategy & Business Impact

Designing High-Impact Teams: Structuring Product, Engineering & Design for Outcomes

Building great products isn’t just about features—it’s about designing the right teams, workflows, and accountability structures to drive real business and customer impact. I specialize in structuring cross-functional teams (engineering, product, and design) around Customer Journeys and Journey Operations using service design principles and OKRs to ensure every team is aligned to outcomes that matter.

Rather than structuring teams around features or functional roles, I align them around customer and internal operational journeys. Each team owns a specific experience or operational workflow, ensuring clear accountability, measurable impact, and cross-functional leverage leading to human-centred solutions that work.

Why this approach works:

  • Clear Accountability – Teams own outcomes, not just execution, ensuring long-term responsibility for impact.

  • Service Design + OKRs Align Teams – Customer journeys inform strategy, while OKRs measure success, creating a structured yet flexible approach to problem-solving.

  • Cross-Functional Leverage – Engineering, product, and design collaborate in lockstep, ensuring that solutions are holistic, scalable, and effective.

  • Portfolio Agility – Teams drive innovation based on impact, not rigid project scopes, allowing them to pivot and prioritize where they can make the biggest difference.

  • Human-Centered, Outcomes-Driven – By leveraging expertise across disciplines, teams optimize across all layers of the service, rather than just focusing on software, features, or isolated touchpoints.

  • Cross-Channel & Platform Thinking – Solutions are designed to work seamlessly across platforms and touchpoints, ensuring a smooth, end-to-end experience for customers and internal teams.

OKR-Driven AI Innovation

CASE STUDY HIGHLIGHT

While leading product at Bench, I structured my teams and OKRs around the customer journey, ensuring that each initiative directly impacted efficiency, automation, and user experience. Categorization sits within the "Use" phase of the LBGUPTS model, where accurate transaction classification is critical for reporting, decision-making, and tax compliance. Our objective was to automate and accelerate categorization while reducing manual workload for customers and bookkeepers. We aligned our AI and automation initiatives to clear outcome-driven OKRs, ensuring that engineering, product, and design worked together to drive faster, more accurate categorization, improve financial data flow, and enhance overall system intelligence.

🚀 Read the full case study to see how we transformed this process with AI and automation.