Is hiring really about luck, or do the best organizations create their own odds? In this episode, Elizabeth Fleming and Morgan Ashworth explore the common narrative of “lucky hires” and why relying on chance can be costly for organizations. They unpack the hidden risks of poor hiring decisions, including impacts on team performance, culture, and long-term business outcomes.

Drawing from organizational psychology and real-world consulting experience, they also discuss how data-driven assessments, structured decision processes, and clearer definitions of role fit can help leaders make more confident, strategic talent decisions. Listeners will walk away with practical insights on how to reduce uncertainty in hiring and build systems that improve selection, onboarding, and long-term success.

Episode Description

When disruption hits, teams don’t magically become calm, coordinated, and strategic; they revert to the systems and capacity they already have. That’s why crisis performance is mostly pre-crisis design.

In this episode, we explore what crises do to the brain at work (attention narrows, working memory shrinks, tone gets misread, rumors fill information gaps) and what leaders can build now to keep people thinking clearly later. We walk through the proactive foundation of crisis readiness: capacity buffers, visible priorities, decision rights, psychological safety, and predictable communication. Then, we tie it all together with the SPACE framework and a drillable 30-minute TRIAGE huddle you can run quarterly.

If your org is already over 100% capacity, we also cover tradeoff management: the Executive Kill List, one-in/one-out priorities, a 72-hour stability sprint, and setting a real capacity red line so “busy” doesn’t become a permanent risk state.

Topics we cover:

• Why crisis outcomes are determined before the crisis (systems > heroics)
• The psychology of threat at work: narrowed focus, memory limits, rumor dynamics
• Slack capacity: planning for 80–85%, protecting focus windows, building a Pause List
• Priority visibility: one source of truth, WIP limits, and cross-training to avoid single points of failure
• Authority clarity: role maps and decision rights so response doesn’t stall
• Communication cadence: pre-written update templates that reduce panic
• Psychological safety as a crisis asset: getting bad news early, blameless retros
• The 30-minute TRIAGE huddle (Protect / Pause / Park / Pursue) for fast stabilization
• What to do when you’re already overloaded: tradeoffs, thresholds, and bottleneck protection

Sound bites:

• “Crisis performance is mostly pre-crisis design.”
• “If your org has no slack, your crisis plan is basically: panic faster.”
• “Transparency reduces rumors and misinformation.”
• “Cross-training prevents single points of failure.”
• “If people can’t tell you the truth on a normal Tuesday, they won’t tell you the truth during a crisis.”
• “Over 100% isn’t ‘busy.’ It’s a risk state.”

Keywords:

crisis management, crisis readiness, organizational resilience, proactive planning, psychological safety, crisis communication, leadership under pressure, change management, capacity planning, incident response, decision rights, role clarity, cross-training, rumor control, workforce resilience, operational continuity, SPACE framework, TRIAGE huddle, organizational design, people strategy

AI is moving fast at work—and the biggest question on everyone’s mind is: will it replace my job, or make my job better?

In this episode, Elizabeth Fleming and Morgan Ashworth sit down with Matt Fleming (VP of Technology at Boyer and Associates) for a practical, no-hype conversation about what AI is actually doing inside organizations right now, and what it takes to implement it responsibly.

You’ll hear real examples of how teams are using AI to improve workflows, how to approach training so people feel capable (not threatened), and why change management is the make-or-break factor in adoption.

They also dig into the human side of AI at work—how to address job replacement fears, where ethics and data privacy risks show up, and what skills will matter most as AI becomes a normal part of everyday work.