The Tech Leader's Playbook

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Kylee Ingram, a decision science expert and co-founder of Wizer, a platform built to help leaders design better decision-making rooms at scale. Kylee’s journey began in sports television and documentary work before pivoting into interactive media and ultimately decision intelligence—a shift inspired by her desire to remove industry gatekeepers and build systems that empower diverse thinking.Kylee unpacks the science behind why good leaders still make bad decisions, revealing how cognitive diversity—not just demographic diversity—is the missing ingredient in most executive teams. She breaks down the three hidden biases that compromise leadership groups (social, information, and capacity bias), why “smart people in the room” isn’t enough, and how decision profiles dramatically change communication, hiring, fundraising, and strategic alignment.Through research from Dr. Juliet Burke and real-world examples from organizations like Enron, Kylee illustrates how teams drift toward sameness as companies scale, quietly erasing the diversity of thought needed for innovation. She also shares practical tactics for CEOs to improve decision quality—without slowing down execution—and how leaders can tailor communication to different decision styles for more buy-in, clarity, and outcomes.This episode is a masterclass on designing better rooms, better conversations, and ultimately, better decisions. TakeawaysCognitive diversity—not demographic diversity alone—is what prevents bad decisions in leadership teams.Most CEOs fall into just two decision-making styles, which creates blind spots and groupthink at scale.The “hippo effect” (highest-paid person’s opinion) strongly influences decisions unless leaders intentionally speak last.Independence is critical in decision design; decisions made before people enter the room create false consensus.Structured diversity in decision profiles can reduce decision error by 30% and increase innovation by 20%.Decision profiles offer a practical way to identify missing perspectives (e.g., risk-focused, analytical, visionary).Leaders should audit each decision by asking: “Who is missing from this room?”Communication should match decision styles; most organizations inadvertently ignore analyzers, achievers, and risk-oriented leaders.Designing rooms—not relying on gut instinct—is the most reliable way to scale high-quality decisions.Chapters00:00 The Hidden Problem in Leadership Decisions01:12 Kylee’s Journey: From TV to Decision Intelligence03:07 Early Wins & The Birth of Wizer04:45 When Gut Instinct Isn’t Enough05:40 The Three Biases Undermining Every Leadership Team09:17 The Hippo Effect & Room Dynamics12:22 Cognitive Overload & Oversimplification14:16 Speed vs. Quality: Avoiding Paralysis by Analysis17:38 Cognitive Skew & The Enron Example19:07 The Seven Decision Profiles22:47 Small Teams & Practical Application25:55 Why Personality Tests Don’t Work30:34 Cognitive Drift in Scaling Companies33:10 Conflict Entrepreneurs & Modern Culture34:08 Why the Wrong People Keep Making the Decisions36:00 Designing Better Interviews & Panels37:29 Messaging & Decision Styles41:27 Tailoring Communication Without Manipulation43:07 One Thing CEOs Should Implement This Week45:15 Mapping Your Organization with Wizer47:30 Kylee’s Aha Moments & Reflections49:06 Closing Thoughts & What’s NextKylee Ingram’s Social Media Link:https://www.linkedin.com/in/kyleeingram/Resources and Links:⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠https://www.instagram.com/avetisantaplyan⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan dives headfirst into the trust crisis disrupting hiring across tech and go-to-market roles. Drawing from conversations with both hiring managers and top-tier candidates, Avetis unpacks the growing disconnect: why talented people are being ghosted while keyword-stuffed, AI-generated resumes get through the door—and often, no one shows up.As the founder of HIRECLOUT, Avetis offers a blunt assessment of the current system: hiring isn’t broken because of AI—it’s been broken for years. AI simply exposed how fragile the trust and signal layers already were. In this candid solo episode, he outlines why resumes no longer reflect real value, how signal degradation is warping candidate pools, and what needs to change for hiring to scale with integrity.From the dangers of synthetic candidates to the myth of "clean" resumes, this episode is packed with pattern recognition strategies, hard truths for founders and recruiters, and a blueprint for using AI as a tool—not a replacement—for judgment. If you're building or hiring in tech, this is essential listening.TakeawaysThe hiring process is failing both qualified candidates and frustrated hiring managers.AI didn’t break hiring—it revealed how broken trust and signal layers already were.Top talent is being filtered out by systems that prioritize keywords over capability.Many resumes that look impressive on paper are either exaggerated or AI-generated.Clean, keyword-rich resumes often come from average performers—not real builders.Bulk applications and synthetic candidates are crowding out authentic applicants.Trust—not automation—will be the next real hiring moat.Hiring systems that prioritize volume over intent end up scaling noise, not quality.Companies need to refocus AI to handle speed and prep, while humans manage judgment.Silence from recruiters often reflects broken systems, not a candidate’s lack of value.Founders who can't distinguish real operators from fake ones aren't ready to scale.The solution lies in a hybrid model: real interviews, verified networks, and contextual judgment.Chapters00:00 Intro: Why this solo episode matters now00:53 The hiring paradox: Both sides feel broken01:47 It's not a talent issue—it's a signal and trust breakdown02:27 The candidate opt-out: when frustration becomes exit03:15 Why AI struggles to recognize real tech and GTM careers04:40 The hiring irony: real people get ghosted, fake ones get interviews06:13 When volume replaces intent: how systems reward the wrong behavior07:04 Resume inflation and red flags recruiters often miss08:30 The model that works: AI for speed, humans for judgment09:25 Scaling incompetence: the danger of removing humans too early10:05 Trust as a competitive advantage in hiring11:10 How HIRECLOUT filters for real vs fake candidates12:30 Final thoughts: the future of hiring is human-centricResources and Links:⁠⁠https://www.hireclout.com⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠