Kenneth Fairchild

Quantitative research leader with 12+ years designing studies, building models, and advising senior stakeholders on what the findings actually mean for the decisions in front of them.

Experience spans supplier and client-side research across consumer electronics, fintech, healthcare, and CPG/FMCG, in both B2C and complex multi-stakeholder environments. Deep expertise in conjoint modeling/DCE, pricing research, segmentation, and advanced quantitative methods, helping organizations understand customer decision-making and translate research findings into product, pricing, and growth strategies.

Senior Quantitative Consumer Researcher - Bose - Troy, MI

(2024-09 - 2026-04)

• Designed and executed conjoint and MaxDiff studies to model consumer purchase behavior and inform product roadmap and go-to-market decisions
• Managed end-to-end study design and field execution across multiple simultaneous research programs
• Partnered with product, design, and strategy teams to translate experimental findings into decisions, not just reports
• Advised leadership on experimental design and measurement approach, including what the data could and could not reliably tell them
• Introduced AI/LLM tools into research workflows, meaningfully reducing time from data collection to insight delivery
• Mentored junior analysts on advanced modeling and study design

Founder and Principal Consultant - Luminim - American Fork, UT

(2023-11 - 2024-09)

Specialized consultancy offering complex choice modeling and custom research.

• Designed conjoint and segmentation studies to model customer decision behavior and support client decisions across pricing, product, and market strategy
• Managed end-to-end engagements independently: study design, data collection, modeling, and client delivery
• Built custom simulation tools in R and Excel to let clients explore strategic scenarios and understand tradeoffs quantitatively
• Presented findings to executive stakeholders across technical and non-technical audiences, translating model outputs into decisions clients could act on

Sr. Director, Revenue Analytics (Individual Contributor) - Tribal - San Francisco, CA

(2022-03 - 2023-11)

High-growth fintech company focused on financial management solutions.

• Designed and executed conjoint studies on customer decision behavior to inform fee structure and feature tradeoffs across multiple lines of business
• Conducted MaxDiff research to prioritize product roadmap decisions based on measured customer preferences
• Owned internal analytics strategy, delivering insights on customer revenue behavior and retention drivers to senior leadership
• Built predictive models and scenario simulations in R to forecast customer-level outcomes and support planning across product and finance
• Developed internal Python tools to support and automate analytical workflows
• Worked with product, engineering, and data teams to define what to measure, how to measure it, and how to make outputs usable downstream

Senior Decision Science Consultant - Sawtooth Software - Provo, UT

(2014-01 - 2022-03)

Built the proof-of-concept implementation of Bandit Adaptive MaxDiff, a methodology hybridizing multi-armed bandit theory with MaxDiff to handle large item sets, which was subsequently commercialized as a feature of Sawtooth's Lighthouse Studio platform; published as primary author in the 2015 conference proceedings.

• Led quantitative research engagements end-to-end across healthcare, CPG/FMCG, technology, and financial services, from problem definition through executive delivery
• Designed and analyzed conjoint and MaxDiff studies to model consumer choice behavior and inform product and market strategy
• Developed Bayesian models, segmentation frameworks, and predictive simulations to support client planning and scenario analysis
• Presented complex statistical findings to executive audiences, focusing on what the results meant for the decision at hand rather than the mechanics of the model
• Developed custom analytical tools and interactive reporting solutions in R and web technologies

Master of Science - Statistics - Brigham Young University

Bachelor of Science - Statistics - Brigham Young University