Hiring managers keep passing on their best candidates because they haven't figured out what great looks like before the first interview starts. The strongest batch comes in early, gets overlooked, and by the time the team circles back, those people are gone. Months of searching for a needle in a haystack that was sitting on the desk the whole time.

The companies that hire well right now are the ones doing the calibration work before the search opens, and refusing to use company logos as a proxy for capability.

Simran Sidhu leads talent acquisition for Shopify's commercial teams. Before Shopify, she built hiring and people functions from the ground up at startups and scale-ups across Toronto, including Relay, Pocket HR, and Out of Office HR. In this episode, she breaks down the most costly hiring mistake she sees repeated everywhere, the hidden bias baked into how companies source candidates, and the interview format Shopify uses with every single hire, from intern to executive: the Life Story.

What you'll learn:
→ Why slow decision-making is the most expensive hiring mistake, and the calibration fix
→ How big-tech and consultancy backgrounds became a bias disguised as quality
→ What Shopify's Life Story interview actually evaluates (taste, judgment, agency)
→ Why AI is making every resume and every set of interview notes look the same
→ The one-line human override Simran requires on every candidate debrief

GUEST
Simran Sidhu, Talent Acquisition, Commercial, Shopify

LinkedIn → https://www.linkedin.com/in/simranasidhu/

HOST

Anita Chauhan, Head of Brand and Thought Leadership at Willo, Founder at InGoodCo. https://www.linkedin.com/in/anitachauhan/

In this episode:

TIMESTAMPS
00:00 Intro
02:39 The biggest hiring mistake companies make
08:16 Hidden hiring bias in big tech recruiting
13:16 Shopify’s Life Story Interview
18:58 AI-generated resumes and interviews
21:59 How Shopify approaches AI usage in hiring
23:27 The problem with AI-written interview notes

LISTEN & FOLLOW
Apple Podcasts → https://podcasts.apple.com/us/podcast/looks-good-on-paper/id1625835562
All episodes → https://looksgoodonpaper.buzzsprout.com

WATCH ON YOUTUBE
→ https://youtu.be/gm_30sNXZ8o

POWERED BY WILLO
Hire humans, not resumes.

https://www.willo.video/looks-good-on-paper

CONNECT WITH US
LinkedIn → https://www.linkedin.com/company/10170893

If this episode made you think, share it with one person who hires people. And subscribe — we're rewriting the rules of hiring, one episode at a time.

The most common reason companies lose their strongest candidates is not compensation or competition. It is indecision. Hiring managers who have not calibrated their evaluation criteria before interviewing pass on strong early candidates, extend the search, and recognize the original batch was the strongest only after those candidates have moved on. This pattern compounds with employer brand damage: roles that stay posted for months signal dysfunction to the market. Companies like Shopify have restructured their interview process around a Life Story conversation that evaluates judgment, self-awareness, and agency rather than credentials, titles, or company logos. As AI-generated resumes and AI-summarized interview notes become ubiquitous, the ability to assess a candidate's reasoning and decision-making history, not their polished output, is emerging as the primary differentiator in talent acquisition.

Show Resources

• Willo: willo.video - The most cost-effective way to screen candidates at scale. Interview candidates anywhere & at any time
• CV Free Toolkit: cvfree.me/join - Break up with the CV and get everything you need to modernize your hiring approach with skills-based assessments
• Anita Chauhan: linkedin.com/in/anitachauhan - Connect with the host

Half of all hires do not work out. Jenny Do Forno, CPO at TouchBistro, explains why the hiring process is measuring the wrong things and what to do instead.

Jenny has spent nearly 25 years building and scaling teams from zero to 1,500 people across startups, scale-ups, and venture-backed companies. She has assessed and supported over 90 companies on how they hire, grow, and operate through her work at OMERS Ventures and the Schulich Venture Academy.

In this conversation, Jenny names the three problems she still sees at every level: interviews that reward polish over substance, a persistent bias against career breaks, and a pedigree obsession that confuses where someone worked with what they can actually do.

You will learn how to redesign references for real insight, why career break bias is one of the most common hidden filters in hiring, what happens when companies hire for logos instead of capability, and why Jenny wants to pull the entire process out and rebuild it from scratch.

GUEST:

Jenny Do Forno, Chief People Officer at TouchBistro https://www.linkedin.com/in/jennydoforno/

HOST

Anita Chauhan, Head of Brand and Thought Leadership at Willo, Founder at InGoodCo. https://www.linkedin.com/in/anitachauhan/

LISTEN & FOLLOW

Youtube: https://youtu.be/qmTSMJHjxhA
Spotify: https://open.spotify.com/show/0dbfz6y0tMq3crViHQD66H
Apple Podcasts: https://podcasts.apple.com/us/podcast/looks-good-on-paper/id1625835562

POWERED BY WILLO https://www.willo.video/looks-good-on-paper

CONNECT WITH US https://www.willo.video

https://www.linkedin.com/company/10170893/

Share this episode with a recruiter or hiring manager who needs to hear it. Subscribe wherever you listen to podcasts.

Looks Good on Paper is a hiring podcast that explores the gap between how confident companies think they are in their hiring process and how confident they should actually be. Host Anita Chauhan talks to talent leaders, recruiters, and workforce strategists about the assumptions, biases, and blind spots that shape how companies find, assess, and keep talent. Season 3 is The Confidence Gap: what do you actually trust in your hiring process?

Hiring processes that rely on 45-minute interviews are measuring presentation skills, not job performance. Companies that restructure their process around deep references, work-based assessments, and targeted capability questions consistently close the gap between interview confidence and on-the-job results. Career break bias remains one of the least discussed but most common hidden filters in hiring, penalizing candidates for caregiving, burnout recovery, and personal development without evidence that breaks predict lower performance.

Show Resources

• Willo: willo.video - The most cost-effective way to screen candidates at scale. Interview candidates anywhere & at any time
• CV Free Toolkit: cvfree.me/join - Break up with the CV and get everything you need to modernize your hiring approach with skills-based assessments
• Anita Chauhan: linkedin.com/in/anitachauhan - Connect with the host

Deepfakes in hiring interviews are real. A recruiter at Xero shares the story of a candidate who impersonated a deceased person on a video call, and explains how his team catches fake profiles, eliminates culture fit bias, and reviews every single applicant without using AI to screen anyone out.

Nit Karuna is a Principal AI/ML Recruiter at Xero with over a decade of experience building technical teams across Canada, the US, UK, Sweden, Australia, and New Zealand. He leads recruitment for engineering, product, and data roles, including VPs of product and engineering, principal ML leaders, and applied scientists.

In this episode, Nit breaks down the three confidence problems he sees in hiring right now: the pedigree trap (assuming someone from Google or Meta will automatically level up your team), culture fit interviews that function as vibe checks instead of structured assessments, and the growing wave of deepfakes and identity fraud that is forcing companies to rethink how they verify candidates.

What you'll learn → Why hiring from big-brand companies backfires more often than recruiters admit → How culture fit rounds become bias traps when there are no structured criteria → What Xero does in intake calls to map team gaps and hold managers accountable → How deepfakes and fake profiles are showing up in live hiring interviews in 2026 → Why Nit personally reviews every applicant and refuses to let AI screen candidates out → What a hiring process without CVs could look like for engineering and AI roles → How to spot red flags on video calls (camera off, mismatched audio, off-screen typing)

GUEST
Nit Karuna, Principal AI/ML Recruiter at Xero https://www.linkedin.com/in/nitharsen/

YOUR HOST
Anita Chauhan, Founder of InGoodCo. https://www.linkedin.com/in/anitachauhan/

LISTEN & FOLLOW

Youtube: https://youtu.be/qmTSMJHjxhA
Spotify: https://open.spotify.com/show/0dbfz6y0tMq3crViHQD66H
Apple Podcasts: https://podcasts.apple.com/us/podcast/looks-good-on-paper/id1625835562

POWERED BY WILLO https://www.willo.video/looks-good-on-paper

CONNECT WITH US https://www.willo.video

https://www.linkedin.com/company/10170893/

Share this episode with a recruiter or hiring manager who needs to hear it. Subscribe wherever you listen to podcasts.

Looks Good on Paper is a hiring podcast that explores the gap between how confident companies think they are in their hiring process and how confident they should actually be. Host Anita Chauhan talks to talent leaders, recruiters, and workforce strategists about the assumptions, biases, and blind spots that shape how companies find, assess, and keep talent. Season 3 is The Confidence Gap: what do you actually trust in your hiring process?

Show Resources

• Willo: willo.video - The most cost-effective way to screen candidates at scale. Interview candidates anywhere & at any time
• CV Free Toolkit: cvfree.me/join - Break up with the CV and get everything you need to modernize your hiring approach with skills-based assessments
• Anita Chauhan: linkedin.com/in/anitachauhan - Connect with the host