• Plan and run discovery research across several user groups, from agency staff to external users. • Conduct field research, contextual inquiry, and observational sessions, not surveys alone. • Support service blueprints and process maps that trace work across actors, systems, and handoffs. • Synthesize findings into research reports, personas, and requirements that hold up to scrutiny. • Validate findings with participants before delivery.

• Partner with product trios to deliver timely, decision-ready research that informs product strategy and development. • Plan and conduct qualitative research, including customer interviews, synthesis, and structured analysis. • Perform competitive and market research to help teams understand trends, opportunities, and emerging customer needs. • Design, build, and maintain AI-assisted workflows that improve research operations, including recruitment, synthesis, analysis, and reporting. • Create reusable research tools, templates, and frameworks that enable product teams to answer common research questions independently. • Establish quality standards and validation processes that ensure AI-generated outputs are grounded in real evidence and sound research practices. • Improve how research is captured, shared, and reused across the organization. • Present findings in ways that build genuine empathy for users — turning data and interviews into stories that stick and drive decisions. • Collaborate closely with Product Managers, Designers, Data Scientists, and Engineers to connect customer insights with product outcomes. • Proactively identify opportunities to increase the impact, efficiency, and scalability of research at Frontify. • Balance multiple priorities across teams while maintaining a high bar for rigor, quality, and speed.

• Coordinate and plan heritage research mandates • Supervise research activities and historical analysis • Contribute to the drafting of study reports and recommendations • Oversee the production of deliverables and ensure their quality • Plan field activities and logistical requirements • Participate in project kickoff and follow‑up meetings • Ensure deadlines and project objectives are met

• Build and scale routing and allocation decision systems • Iterate on optimization frameworks • Build and productionize ML-driven routing systems • Work directly with partner teams • Uphold high standards for production quality