Progress Over Perfection | How Leaders Pilot, Sandbox, and Pivot – Ep 06

Описание: Hosts: Courtney Acosta & Mario Acosta Bios: https://www.theedleadershippair.com/a... Podcast: The EdLeadership Pair – Unfiltered Conversations for Today’s School Leaders

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Episode Overview
Build the plane while flying it, without losing trust. Schools and districts rarely get perfect conditions, and waiting for total clarity usually means waiting too long. In this episode, Courtney and Mario unpack why iteration is not a sign of weak planning but is actually a core leadership skill. They explore the pressure leaders feel to have the “final version” before acting, and why momentum often matters more than certainty. Using practical examples (like pilots, sandboxes, and PLC implementation), they share how leaders can create safe spaces to test ideas, learn fast, and improve over time. The conversation also tackles a hard truth: leaders must be willing to abandon ideas that aren’t working before ego, time, or “pot commitment” traps the organization in a bad move. Finally, they close with a leadership mindset that protects trust: give away the credit when things go right and own the responsibility when they don’t.

Big Ideas from the Conversation
Iteration is a leadership skill, not a planning failure. Progress and momentum beat paralysis by perfection. Pilots reduce risk by testing with a small group, on a timeline, with clear success criteria. Sandboxes create psychological safety so teams can experiment, break things, and tell the truth about what doesn’t work. Culture is a litmus test: if the organization rejects a pilot, leaders must listen before scaling. Great leaders avoid being “pot committed”, they pivot when data and feedback show an idea isn’t right for this context. Trust grows when leaders share success with teams and absorb accountability when things go sideways.

Leadership Actions Recommended in This Episode
1. Name the work as Version 1 (and say what Version 2 will improve) Communicate that improvement is a learning process. Set expectations that the work will be refined as data and feedback come in.
2. Design pilots with guardrails Pick a small group, set a short timeline, define what “working” means, and identify the measures you’ll use to decide whether to scale, revise, or stop.
3. Build a sandbox with psychological safety Create a low-stakes space to test tools and processes. Make it safe for early adopters to report failures without fear, and celebrate the learning.
4. Let culture speak before you scale Share early pilot results with adjacent teams and listen closely. Enthusiasm is a green light; resistance is information to address, not something to bulldoze.
5. Avoid “pot commitment” Set decision points where you will pause and evaluate. If the data says it’s not working, pivot quickly and don’t throw good time after bad time to protect ego.
6. Protect trust through ownership Give away the credit when the work succeeds, and take responsibility when it doesn’t. That combination strengthens followership and keeps people willing to try again.