Looks Good on Paper — a hiring podcast about signal, scale, and human decision-making
Looks Good on Paper is a hiring podcast from Willo exploring how companies make hiring decisions at scale — and where those systems break down.
Hosted by Anita Chauhan, the show examines high-volume hiring, skills-based assessment, candidate experience, hiring bias, and the growing role of AI in recruitment. Each episode brings together operators, founders, and talent leaders navigating real hiring pressure, not theoretical best practices.
This podcast exists to help teams move from application overload to confident, human-first hiring decisions.
If CVs disappeared tomorrow, what would hiring become?
A recurring question from the show's third quarter, revisited through new data, new guests, and a rapidly shifting hiring landscape
Featuring contrasting perspectinves form talent leaders navigating volume, fairness, speed, and signal quality at scale.
Why hiring feels harder than ever
Hiring teams aren’t struggling to find candidates. They’re struggling to find signal.Application volumes are at all-time highs. AI-generated resumes are common. One-click applications flood hiring funnels. Credentials are harder to verify. Recruiters are expected to move faster while maintaining fairness, compliance, and a positive candidate experience.
More inputs haven’t created better outcomes.
Looks Good on Paper explores why hiring confidence is eroding — and what actually helps teams make better decisions at scale.
It's to help teams ask better questions.
What this hiring podcast covers — and why signal matters more than speed
Looks Good on Paper explores the real trade-offs inside modern hiring systems, especially in high-volume environments shaped by application noise, automation, and AI.
Across episodes, we cover:
High-volume hiring and screening at scale
Skills-based hiring and structured interviews
Hiring bias, fairness, and compliance
Candidate experience in automated funnels
AI in hiring, resume inflation, and credential trust
The biggest challenge in hiring today isn’t speed. It’s clarity.
This podcast looks at how clearer signals, better structure, and human judgment — supported by technology, not replaced by it — help teams reduce noise and make more confident hiring decisions at scale.
More inputs haven’t created better outcomes.
This podcast looks at how clearer signals, better structure, and human judgment — supported by technology, not replaced by it — help teams reduce noise and make more confident hiring decisions at scale.
Latest episodes from the Looks Good on Paper podcast
About the host
Anita Chauhan
Anita Chauhan is a fractional CMO, advisor, and operator working across hiring, brand, and systems design.
She hosts Looks Good on Paper to create space for honest conversations about how hiring decisions are made in practice — especially in high-volume environments where fairness, speed, and confidence often collide.
The podcast is informed by real hiring data, real constraints, and real decision-makers.
What we explore
Hiring systems & signal design
How interviews assessments, and wokflows shape outcomes more than intent ever could.
Operator stories
First-hand accounts from leaders making hiring decisions under real constraints
Ethics & trade-offs
Bias, access, automation, and what "fair" actually means when systems scale
Who this podcast is for
Looks Good on Paper is for:
- Talent acquisition leaders hiring at scale
- Recruiters navigating application overload
- Founders and operators building hiring systems
- HR teams focused on fairness and compliance
- Anyone questioning whether resumes still work
If you’re responsible for hiring outcomes — this podcast is for you.
What listeners say
Looks Good on Paper brings a level of honesty to hiring conversations that most content avoids. It doesn't tell you what to think – it helps you think better.
Stay close to the conversation
New episodes, hiring insights, and data-informed thinking — delivered occasionally and intentionally.
