The WorkOps Podcast

Summary
When the sole operator of a global company’s immigration process left, a critical workflow supporting 10% of the workforce imploded. What remained was an undocumented, email-based system, causing widespread employee anxiety about work authorization and threatening the company’s ability to retain essential US-based talent. This created a strategic nightmare: a global healthcare data analytics firm, where much of its data could not be sent offshore, faced losing critical personnel due to a broken internal process.

Chesney Woodall, an HR Director initially unfamiliar with immigration, inherited this mess. She quickly found herself managing 25 simultaneous immigration cases while operating as a key contributor on a three-person US HR team for a 1,000-employee company. This "messy middle" between top-down goals and bottom-up work created an accountability gap that put talent retention and business continuity at risk. To systematize the process, Chesney leaned on cross-functional collaboration and existing tools, transforming a manual, fear-inducing workflow into a more transparent system. Now, Chesney uses AI as a personal learning assistant, democratizing complex knowledge and freeing up strategic time to focus on people-centric HR.

Timestamps
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00:10 The undocumented immigration process creating a single point of failure
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03:29 10% of the company's global workforce impacted by visa uncertainty
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04:35 "If it touches the employee, it comes to HR": Navigating process ownership
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06:07 The Excel spreadsheet chaos and undocumented immigration tracking
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07:47 Employee fear: Losing work authorization and business continuity risk
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09:22 How ChatGPT became Chesney's accidental immigration SME
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10:46 Automating admin: Unlocking strategic time for people-centric HR
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16:40 Building an internal operating system for immigration with Jira
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18:46 The manual gaps: Jira’s limitations and the need for further automation
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22:56 AI's role in improving employee experience and information discoverability

Takeaways
- Standardize critical processes to avoid a single point of failure, especially when they directly impact talent retention and business continuity.
- Utilize existing internal tools and cross-functional teams to build solutions, leveraging institutional knowledge before investing in new software.
- Systematize administrative tasks to free up HR for strategic initiatives like proactive talent management and improving employee experience.

Connect with the Guest
Chesney Woodall LinkedIn: https://www.linkedin.com/in/chesney-woodall/
Learn more about Cedar Gate: https://www.cedargate.com/

Sponsor
This episode is brought to you by Kinfolk, the AI service desk built for HR.

See more at kinfolkhq.com

Summary
Most companies have an offer process that looks clean on a whiteboard and turns into chaos in practice. The recruiter fights for more money. The comp team says no. Finance says it's too expensive. The business leader just wants it done.

Everyone's working off different information, and by the time a decision is made, it's conflict resolution—not a hiring process. In this episode of the WorkOps Podcast, host Jeet sits down with Tony Castellanos, EVP of People at Nextdoor, for a sharp conversation about what happens when you replace serial decision-making with shared context.

Tony has spent his career watching offer processes break down because every stakeholder applies their own lens in isolation—and nobody has the full picture. He walks through how Nextdoor rebuilt the process to bring all parties into the room at the beginning instead of passing decisions down a chain, why the proudest moments in his career are when a recruiter says no to a hire they could have closed, and how the shift from "HR" to "people" isn't just branding—it changes the scope and responsibility of the entire function.

Tony and Jeet also get into why information architecture is the unsexy foundation that makes AI-first people operations possible, how Nextdoor runs a dedicated build day once a month for AI experimentation, and why the biggest thing leaders can do right now is create space for their teams to be "courageously creative." If you lead a people function, run a recruiting team, or are trying to figure out where AI fits, Tony's framework of context over control will change how you think about the work.

Timestamps
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00:18 Tony's path from recruiting agency to EVP of People
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02:16 The evolution from HR to People—and why it's intentional, not just branding
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07:35 The offer process: why the blueprint breaks in practice
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10:16 Solving for context over control: bringing all stakeholders in upfront
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13:11 The proudest moment: when a recruiter says no to a hire they could have closed
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16:07 Who makes the final call when there's a deadlock
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19:20 Building AI on top of solid information architecture
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23:00 A day a month for AI experimentation and the "courageously creative" mindset

Takeaways
- Replace serial offer approvals with a shared context model where TA, comp, finance, and the hiring leader are all in the room from the start
- Celebrate when recruiters say no to a hire based on long-term team impact—that's the shift from closing at all costs to creating long-term value
- Invest in information architecture before building AI services on top; your underlying data has to be rock solid
- Create dedicated time for AI experimentation—a half hour between meetings isn't enough, context switching kills it
- Embrace "context over control" as a design principle across your people function, not just in comp decisions
- Trust your leaders to own the trade-offs; the people team that's always the blanket "no" disempowers the organization

Connect with the Guest
Tony Castellanos LinkedIn: https://www.linkedin.com/in/tcastellanos/
Company Website: https://about.nextdoor.com

Sponsor
This episode is brought to you by Kinfolk, the AI service desk built for HR.

See more at kinfolkhq.com

Summary
Vidyard's performance system was broken. Managers placed employees in nine-box grids with no clear expectations, no career framework, and no two-way conversation. Decisions on compensation and promotions happened in silos, riddled with bias. Employees felt the process was opaque and unfair — yet Sarika Lamont, Vidyard's Chief People Officer, had no technology, no team bandwidth, and a business contracting through a SaaS downturn.

Three and a half years later, she's rebuilt the entire system — career frameworks, competencies, performance reviews, and now an AI-powered interactive tool that took five minutes to prototype. What once required two quarters and a team of specialists now happens in a week. In this episode, Sarika walks through how she dismantled a one-sided performance process, designed for scale during contraction, and used Claude to compress months of work into days — all while solving for what employees and managers actually need, not what HR traditionally builds.

Timestamps
00:01 How Sarika fell into HR from management consulting at a federal contracting startup
05:59 The broken nine-box system she inherited: no expectations, no framework, pure manager bias
11:28 Why cross-functional partnerships with finance and business leaders matter more than HR credentials
17:22 Building a career framework from scratch: IC paths, management tracks, and leveling for scale
23:35 The SaaS downturn, AI disruption, and why the system went stagnant
28:19 Using Claude to redesign competencies in days instead of quarters
33:55 What replaces the time saved: ongoing enablement, adoption, and human-to-human coaching
38:12 Where to start if you're overwhelmed: validate the real problem first, then ask AI where to begin

Takeaways
- Build your performance system from the business problem backward — not from what HR traditionally designs — or you'll solve for process instead of outcomes.
- Career frameworks need differentiation level-to-level so employees see the gap between "intermediate" and "senior" in concrete, actionable terms, not themes.
- AI compresses iteration cycles from quarters to days, but the time saved goes to enablement and adoption — the work HR has always neglected because building took too long.
- Start by validating what employees and managers actually need through exit data, engagement surveys, and one-on-ones — then use AI as a thought partner to fill the gaps you can't solve manually.
- Performance transparency isn't about revealing ratings — it's about documenting expectations, competencies, and decision-making frameworks so people understand how to grow.

Connect with the Guest
Sarika Lamont LinkedIn: https://www.linkedin.com/in/sarikal/
Company Website: https://www.vidyard.com/

Sponsor
This episode is brought to you by Kinfolk, the AI service desk built for HR.

See more at kinfolkhq.com