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Collaborative-Culture

Collaborative-Culture

Von: Kristine Gentry and Monica M. Smith
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Collaborative-Culture: Bridging Perspectives, Building Stronger Teams

Culture shapes how we live, work, and collaborate—yet it remains one of our most misunderstood and underutilized assets. Collaborative Culture explores what culture truly means in our workplaces and across societies, revealing how it powers organizational and community success.

Hosted by cultural intelligence experts Dr. Kristine Gentry (Culture Grove) and Monica Smith (Tradewind Consulting), this podcast creates a forum for transformative conversations about the intersection of culture, leadership, and human connection.

Through candid interviews with thought leaders, revealing case studies, and proven strategies, we examine:

  • Building cultures that ignite collaboration and breakthrough innovation
  • Mastering cross-generational and cross-cultural workplace dynamics
  • Navigating the fine line between cultural appreciation and appropriation
  • Developing global leadership dexterity in our interconnected world
  • Preparing for the evolving future of work and its impact on teams
  • Implementing practical techniques for cultivating inclusive environments


For business leaders, people managers, HR professionals, and culture enthusiasts, this podcast challenges conventional thinking while delivering actionable insights to help you build environments where everyone thrives.

Culture isn't just a concept—it's your competitive advantage. Join us as we explore how to create cultures that work.

Hosted on Acast. See acast.com/privacy for more information.

Collaborative Culture
Management & Leadership Ökonomie
  • AI Anxiety at Work: How Leaders Separate Signal from Noise (and Keep Trust Intact)
    Jan 21 2026
    Everyone’s talking about AI and a lot of people are quietly panicking. In this episode of Collaborative Culture, Kristine Gentry (Culture Grove) and Monica Smith (Tradewinds Career Consulting) unpack how leaders can separate signal from noise in AI transformation without torching trust, morale, or the talent you can’t afford to lose.We get practical in three high-impact areas: (1) what the C-suite must do to align AI with purpose, values, and the real way work gets done, (2) how culture can either build momentum or become mutually destructive with transformation efforts, and (3) what employees can do right now to stay marketable and become the “best human in the loop.”Along the way: real talk on shaky ROI, training gaps, worst practices we’re seeing in the wild, and why critical thinking and “liberal arts skills” may be exactly what the AI era demands most.Show notesWhat we coverAI anxiety is real — and it’s not irrational: unclear strategy, unclear skills, unclear career paths.Signal vs. noise in 3 areas: enterprise leadership, culture as momentum (or sabotage), and employee partnership in adoption.Reality check on adoption & ROI (as cited in the episode): usage is rising, satisfaction with training is lagging, and meaningful ROI remains elusive for many initiatives.Best practices: “Speed to sustainability,” trust-building, transparency, readiness, and aligning AI to an operating model—not just tools.Worst practices: mandating innovation without upskilling, overbuilding infrastructure without pilots, punishing failure in an experiment-driven process, and cutting headcount based on assumptions instead of redesigned work.Humans in the loop: oversight, judgment, bias monitoring, risk controls, data governance, validation, and quality.Talent risk: your AI-capable people are highly recruitable—culture and opportunity determine whether they stay.Perspective reset: we’ve lived through major innovation waves (Y2K → cloud → social platforms → short-form video). AI is another wave—leaders decide whether the organization rides it or gets crushed by it.Career marketability: why critical thinking, creativity, systems thinking, communication, and self-directed learning are becoming baseline “hard skills.”Memorable moments & lines“Putting a Ferrari engine on a donkey cart” — why layering AI onto legacy systems often collapses.“Be the best human in the loop” — the episode’s North Star for employees and leaders alike.00:00–02:00 — AI anxiety + “signal vs. noise” framing (and a quick, funny opening correction)02:00–06:15 — Stats + what employees are feeling (training gaps, uncertainty, morale)06:15–12:25 — Best practices: trust, transparency, readiness, leadership communication, and “human in the loop”12:25–16:55 — Worst practices: mandates without enablement, punishing failure, one-way communication, layoffs-by-spreadsheet16:55–19:45 — Innovation waves perspective: how organizations normalize disruption24:45–28:30 — Aligning AI with purpose/values + change leadership that reduces fear and resistance28:30–35:45 — Marketability skills + education debate (STEM vs. critical thinking disciplines) + wrap/CTANames and sources mentioned in the episodeTay Bannerman — “speed to sustainability” framingLinaura Aliera (ThoughtWorks) — focus on operating model, org design, culture, and adoptionBCG & MIT (referenced in-episode for AI adoption/ROI context)Gartner innovation curve / J-curve (innovation hype cycle perspective)Jessica Kriegel & John Fresh (referenced re: education/workforce predictions)Listener takeawayIf your AI strategy is being experienced as fear + silence + headcount cuts, you’re not “innovating,” you’re training your culture to resist. Leaders who win this era treat culture as the operating system: clear purpose, honest communication, safe-to-learn experimentation, and visible investment in people who make AI usable.Call to actionMention this episode for a free 30-minute consultation with either host.Thanks for Listening!We’d love to hear from you.Kristine Gentry, PhDkgentry@culturegrove.com🌐 www.culturegrove.com🔗 LinkedIn: Kristine McKenzie GentryMonica M. Smithtradewindscareerconsulting@gmai.com🌐 www.tradewindscareerconsulting.com🔗 LinkedIn: Monica Mary SmithIf you enjoyed the show, please: subscribe, leave a review, and share it with someone who cares about building better teams. Hosted on Acast. See acast.com/privacy for more information.
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    32 Min.
  • Culture Signals: The 2025 Recap and the 2026 Forecast Leaders Need
    Jan 7 2026
    Episode summaryA text message at 3 a.m. telling employees to check their personal email before work. That’s not just a layoff story. It’s a culture story. In this first episode of 2026, Dr. Kristine Gentry and Monica M. Smith unpack how the way organizations handle “hard moments” (layoffs, RTO mandates, and AI messaging) shapes trust, retention, and long-term brand reputation. They also explore how global tensions, including widening perception gaps between the U.S. and Germany, are showing up inside multinational workplaces. What you’ll hear in this episodeWhy how layoffs happen becomes workplace “folklore” and damages psychological safety for the people who stayThe real issue with RTO mandates framed as “culture” (and what Nick Bloom’s research suggests instead) Why AI is being used as a narrative for workforce reductions even while many enterprise pilots aren’t showing measurable returns yet A global trust gap case study: Germans’ views of the U.S.-Germany relationship shift sharply negative, while Americans remain largely positive 2026 predictions: the “long tail” of 2024–2025 decisions, what talent will remember, and what leaders should do in Q1Chapters (timestamps)00:00 – Cold open: The 3 a.m. text and the trust fallout00:33 – Welcome + what this episode covers02:20 – Layoffs as a culture signal: “hard moments” become folklore09:20 – RTO is back: Why “culture” isn’t solved by proximity13:30 – Women leaving the workforce: the caregiving + flexibility collision15:30 – AI as scapegoat: why the messaging is already reshaping culture 20:05 – Germany + the U.S.: trust perception gaps and global team impact 26:10 – 2026 predictions: what changes, what doesn’t, what lingers41:30 – Practical takeaways for leaders (Q1 action list)45:05 – Closing question: “What story will people tell in 2030?”Key takeaways (your “do this Monday” list)Audit your hard moments. Review how you handled layoffs, restructures, and major change, then ask employees how it landed.Treat AI + RTO as culture decisions. Name the behaviors your policies reinforce and run experiments instead of mandates.Get honest about the global context. If you lead across borders, don’t pretend politics and perception gaps aren’t in the room — build a fair way of working together anyway. Sources & references mentioned Amazon laid off some employees with early-morning text messages Study finds hybrid work benefits companies and employeesMIT report: 95% of generative AI pilots at companies are failingPew Research Center: German views of the U.S.-Germany relationship turning sharply negative in 2025 Thanks for Listening!We’d love to hear from you.Kristine Gentry, PhDkgentry@culturegrove.com🌐 www.culturegrove.com🔗 LinkedIn: Kristine McKenzie GentryMonica M. Smithtradewindscareerconsulting@gmai.com🌐 www.tradewindscareerconsulting.com🔗 LinkedIn: Monica Mary SmithIf you enjoyed the show, please: subscribe, leave a review, and share it with someone who cares about building better teams. Hosted on Acast. See acast.com/privacy for more information.
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    38 Min.
  • When Engagement Metrics Fail: What to Measure Instead
    Dec 17 2025
    Episode Description

    Most organizations are drowning in dashboards—engagement scores, turnover reports, productivity trackers, badge swipes, time in office. But how much of that data actually tells you anything real about your culture?


    In this episode of Collaborative Culture, Monica Smith and Dr. Kristine Gentry kick off Part 2 of their “Metrics That Matter” mini-series by breaking down the difference between numbers that look impressive and metrics that actually help you lead. They explore three levels of data—counting, trending, and driving—and show how each can either stay superficial or become a powerful signal about the health of your culture.


    Monica and Kristine walk through four culture-focused metrics leaders should be watching: purpose alignment, leadership listening/feedback loops, values-driven decision-making, and a cultural diversity index that goes beyond headcount. Along the way, they unpack why culture metrics are not about policing activity (hello, badge tracking) but about gaining clarity, so you can spot issues early, support your people, and improve performance.

    If you’re tired of chasing vanity metrics and ready to design measures that actually reflect how your culture is working, this one’s for you.




    Show Notes – Episode 13

    In this episode, Monica and Kristine cover:

    • 🎧 From “metrics mirage” to metrics that matter
    • 📊 Three types of data: counting, trending, and driving
    • 🚨 Signal vs. noise in culture measurement
    • 🧭 Metric #1: Purpose alignment score
    • 👂 Metric #2: Leadership listening & feedback loops
    • 🧱 Metric #3: Values-driven decision-making
    • 🌍 Metric #4: Cultural diversity index (beyond headcount)
    • 📉 Leading vs. lagging indicators in culture
    • 🧪 Quant + qual: Numbers and narratives
    • 🎯 The real purpose of culture metrics


    If you enjoyed this episode, follow Collaborative Culture and share it with a leader or team who’s ready to move beyond vanity metrics and start measuring what truly matters.


    For more information on the MBL baseball cap fiasco: https://frontofficesports.com/mlb-angels-astros-rangers-tetas-hats/

    Thanks for Listening!

    We’d love to hear from you.


    Kristine Gentry, PhD

    kgentry@culturegrove.com

    🌐 www.culturegrove.com

    🔗 LinkedIn: Kristine McKenzie Gentry


    Monica M. Smith

    tradewindscareerconsulting@gmai.com

    🌐 www.tradewindscareerconsulting.com

    🔗 LinkedIn: Monica Mary Smith


    If you enjoyed the show, please: subscribe, leave a review, and share it with someone who cares about building better teams.

    Hosted on Acast. See acast.com/privacy for more information.

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    40 Min.
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