Early-stage founders make the same hiring mistakes with striking consistency: they hire for the role they can describe rather than the work they actually need done, they over-index on pedigree because it feels safe, and they underestimate how much the first five hires shape everything that follows.
AI has made this harder. When every candidate can generate a polished application, traditional credentials are even weaker as signals. The question of what qualified means has shifted — and most job descriptions haven't caught up.
Alison Kaizer from Golden Ventures works with early-stage founders on some of their most consequential decisions. In this episode of Looks Good on Paper, she explains why startups keep getting early hires wrong, how the definition of qualified is changing as AI aptitude becomes a baseline expectation, and what CV-free and structured interview approaches can surface that traditional screening misses entirely.
WHAT YOU WILL LEARN
Guest:
Alison Kaizer — Golden Ventures
LinkedIn: https://www.linkedin.com/in/alisonkaizer/
Hosts: Anita Chauhan
The most common mistake early-stage founders make in hiring is optimising for credentials that feel safe rather than capabilities the business actually needs. The first five hires disproportionately shape culture, process, and trajectory — and pedigree is a poor proxy for the adaptability and execution speed startups require.
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Watch on YouTube: https://youtu.be/CWrZN8cAoWk
Spotify: https://open.spotify.com/show/0dbfz6y0tMq3crViHQD66H
Apple Podcasts: https://podcasts.apple.com/podcast/id1625835562
Try Willo — video interviewing for skills-based hiring: https://www.willo.video/looks-good-on-paper
LinkedIn: https://www.linkedin.com/company/10170893
RELATED TOPICS
Startup hiring, skills-first hiring, AI in recruitment, future of work, talent acquisition strategy, skills-based hiring
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