SwipeManager

Research

Time to Automaticity

Carvalho, forthcoming. Publication pending.

Decision timing Team cognition Evaluation governance In-game framework

Time to Automaticity is a system-level construct introduced to address a structural problem in elite team-sport governance: managerial evaluation often runs ahead of collective learning. Decisions to fire managers, reset tactics, or replace personnel get made before the system has had time to stabilise. The framework proposes that evaluation validity is time-dependent and constrained by collective learning.

The core idea

Expertise is built through repetition under consequence. A surgeon does not become expert by reading manuals; they become expert by making hundreds of real decisions, with real stakes, until the patterns become instinctive. At that point the right choice arrives before the deliberation does. That threshold is automaticity.

The same dynamic operates at the team level. A newly installed game model takes time to consolidate into shared mental models, low-communication coordination, and stable execution. Until then, results are noisy. Judging the system on early outcomes confuses learning noise with structural failure.

Three Evaluation Windows

The framework sequences judgment rather than applying it uniformly:

  1. Process Integrity Window (early). Judge whether the system is being delivered coherently. Is the game model articulated, stable, consistent in training and meetings? Do not judge results.
  2. Progress Direction Window (mid). Judge the trend. Is variability in execution decreasing? Are coordination errors becoming less frequent? Outcomes can begin to inform but must be read as trend.
  3. Results Accountability Window (late). Outcome-based judgment is now defensible. The system has accumulated sufficient stable exposure that results reflect the system rather than the learning process.

Reset conditions

Five conditions disrupt collective learning and reset the automaticity clock:

Symmetric inference errors

The framework warns equally against two failure modes:

Both errors are costly. The evaluation windows are sequencing rules to prevent both.

How SwipeManager uses it

Each card outcome carries TtA impact metadata. Major player decisions visibly shift the team's Readiness and Reset Risk scores, both displayed on the pause-menu badge. The DASH Index page in-game includes an interactive TtA Calculator that lets players score a real or hypothetical situation against the framework. Both failure modes are represented in card content (see the prolonged-protection card pack added in the most recent patch).

Citation

Carvalho, W. D. (forthcoming). Time to Automaticity in Team Performance Systems: Learning Latency, Evaluation Validity, and Decision Timing in Elite Football. Cinderpoint Working Paper.
Full citation will be added when the paper is published. Working draft available on request: research@cinderpoint.com.

Related