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Connor uses the WHO method scorecard to define four specific outcomes a hire must accomplish in six months, not years of experience or qualifications. His team required five iterations to agree on what their head of data would actually deliver. Without this upfront alignment, you're essentially hiring different people for the same role title.
Connor pushes candidates beyond their rehearsed top three strengths, waiting through awkward pauses until they identify all ten. He uses prompts like "What would your boss say?" to help them continue. Candidates who handle this discomfort and dig deeper typically succeed throughout his entire hiring process.
Instead of asking about current challenges, Connor asks references: "What was their biggest challenge way back when you worked with them?" He then follows with: "This person told me you'd say their challenge was X - would you agree?" This gives references explicit permission to be honest about known weaknesses.
When hiring his first finance leader, Connor conducted discovery interviews with finance heads across PLG and traditional companies, then used Fathom's AI to extract common hiring mistakes. This systematic learning approach helps you ask better questions for functions outside your expertise.
Connor schedules daily touchpoints with new senior hires for three weeks, using shared Asana boards for non-urgent questions. This ensures executives are never more than eight hours away from getting unstuck while maintaining availability for immediate issues.
In this episode of How I Hire, Andy Mowat speaks with Connor Fee, COO at Fathom.ai, about his systematic approach to scaling operations across revenue, data, and finance functions at a 100-person company. Drawing from his leadership experience at UserVoice, Clearbit, Shortcut, and Winning by Design, Connor reveals how he transformed a company lacking leadership culture into an aligned executive team and shares his counterintuitive hiring methodologies. His insights demonstrate how AI-powered interview analysis can eliminate traditional hiring blind spots while accelerating senior talent evaluation.
Andy Mowat has built GTM engines for top companies throughout his career. He led Revenue Operations and Demand Gen at four unicorns, including scaling from $10M to $100M ARR at both Upwork and Culture Amp, and helping guide Box and Carta through IPO scale. With a passion for connecting people, Andy has advised executives on their careers for years and launched Whispered to make searching for executive roles less intimidating.
Learn more about about Whispered: www.whispered.com
Interact with AI Andy: www.whispered.com/whisper-search