Living case study · Updated as the work develops
Project Playaz Circle
A Project Management Experiment
Project management / Applied research
A season-long experiment in decision-making under uncertainty. Testing whether a disciplined management process can offset limited domain expertise.
The research question
Performance / Current snapshot
Record
2-0
Points For
329.20 PF
Points Per Game
164.60 AVG
League Rank
#1
The environment
Fantasy football provides a constrained, competitive environment with scarce resources, incomplete information, and frequent feedback. The subject is not the sport; it is the quality of the decisions made within it.
What this study will produce
A transparent record of the framework, decisions, risks, weekly evidence, and final analysis. Results will be reported alongside process adherence, uncertainty, and the limits of a single-season experiment.
01 / Framework
Define the process before the outcome.
The working framework makes the assumptions explicit. Open a chapter to inspect the scope, success criteria, and allocation approach. The observational baseline is established. Evaluation thresholds will develop with the evidence.
Duration
One competitive season
Environment
Fantasy football
Current stage
Active
02 / Decisions
A record of the reasoning.
What was known, what was chosen, and why. Search or filter the log, then open an entry to review its context, rationale, and eventual outcome.
03 / Risk & change
Keep uncertainty visible.
Risks, assumptions, issues, and dependencies belong in the open. The register records exposure, ownership, and response so uncertainty can be reviewed rather than ignored.
D-002 Waiver Market Availability
Roster improvement depends partly on which players remain available through waivers and whether competing managers pursue the same assets. Desired roster changes, therefore, cannot always be implemented as originally planned.
Type
Dependency
Status
Open
Impact
Medium
Likelihood
High
Response
Identify alternative acquisition targets when pursuing consequential waiver claims and evaluate decisions using the options actually available. Record unsuccessful claims when they materially change the intended course of action and adapt subsequent allocations accordingly.
Owner: Marcus Diamor
D-001 - Timely & Accurate Player Information
Effective roster, waiver, and lineup decisions depend on timely external information regarding injuries, player availability, depth-chart changes, expected participation, and other material developments. The project does not control the timing, completeness, or accuracy of this information.
Type
Dependency
Status
Open
Impact
High
Likelihood
Medium
Response
Use the most current credible information available as close to decision deadlines as practical. Distinguish confirmed information from projections or speculation and document material information gaps when uncertainty affects a decision.
Owner: Marcus Diamor
I-001 - DJ Moore Week 2 Injury
DJ Moore suffered an in-game injury during Week 2 and produced -0.10 fantasy points. The event reduced weekly production and introduced uncertainty about his availability and the appropriate allocation of wide receiver resources heading into Week 3.
Type
Issue
Status
Open
Impact
High
Likelihood
High
Response
Retain Moore while monitoring updated availability information rather than interpreting the injury-driven Week 2 result as evidence of diminished underlying value. Maintain roster flexibility and reassess his position as additional information becomes available.
Owner: Marcus Diamor
A-001 - Available Information is Sufficient for Structured Decisions
The study assumes that publicly available performance data, projections, injury information, roster status, and other observable evidence provide sufficient information to support structured decision-making despite limited football-specific expertise.
Type
Assumption
Status
Open
Impact
High
Likelihood
Medium
Response
Test this assumption throughout the season by documenting the information used in consequential decisions and comparing expectations with subsequent evidence. If repeated errors result from missing or misunderstood football-specific variables, revise the decision framework and reassess the assumption.
Owner: Marcus Diamor
R-005 - Roster Opportunity Cost
Every roster position committed to one asset prevents that position from being allocated elsewhere. Retaining an injured, underperforming, or speculative player for too long may create hidden losses by preventing the acquisition of a more useful alternative.
Type
Risk
Status
Open
Impact
Medium
Likelihood
High
Response
Review roster utilization and available alternatives weekly. Evaluate players relative to their replacement opportunities rather than only their historical performance. Document material reallocations and explicitly consider what is surrendered when an asset is retained or released.
Owner: Marcus Diamor
R-004 - Small Sample & Performance Variance
Weekly fantasy performance contains substantial variance, while the season provides a limited sample of observations. Short-term winning streaks, losses, or unusually high individual performance may create misleading conclusions about the effectiveness of the management process.
Type
Risk
Status
Open
Impact
High
Likelihood
High
Response
Evaluate results longitudinally using record, Points For, Points Against, Points Per Game, league rank, and individual decision outcomes. Avoid treating isolated weeks as validation or rejection of the framework. Reassess conclusions as the sample grows.
Owner: Marcus Diamor
R-003 - Outcome Bias / Hindsight Contamination
Knowledge of actual results may distort later evaluation of decisions, causing successful outcomes to validate weak reasoning or unsuccessful outcomes to discredit sound reasoning. This risk is elevated because Weeks 1-2 occurred before formal prospective decision logging began.
Type
Risk
Status
Open
Impact
High
Likelihood
Medium
Response
Preserve Context, Decision, and Rationale before outcomes are known whenever practical. Record outcomes separately and do not revise the original reasoning after results occur. Clearly identify reconstructed decisions from Weeks 1-2 as retrospective evidence.
Owner: Marcus Diamor
R-002 - Player Availability and Injury Volatility
Injuries and unexpected changes in player availability can reduce the value of existing allocations with little warning. DJ Moore's Week 2 injury demonstrated that a reasonable pregame allocation can produce a poor outcome because of an event that was not known when the decision was made.
Type
Risk
Status
Open
Impact
High
Likelihood
Medium
Response
Maintain sufficient roster flexibility and monitor confirmed availability information before weekly lineup deadlines. Avoid treating injury-driven underperformance as automatic evidence of poor decision quality. Where uncertainty remains, evaluate whether additional depth or reallocation is justified by the expected impact and opportunity cost.
Owner: Marcus Diamor
R-001 - Limited Domain Expertise
Limited football-specific knowledge may lead to relevant information being misunderstood, overlooked, or misweighted when making roster, waiver, and lineup decisions. This risk is inherent to the study because limited domain expertise is one of the conditions being tested.
Type
Risk
Status
Open
Impact
High
Likelihood
High
Response
Mitigate rather than eliminate. Use structured decision criteria, current performance data, injury and availability information, opportunity-cost analysis, and documented rationale when making consequential decisions. Domain-specific information may inform decisions, but the management framework should remain the primary decision-making process. Review the outcomes for evidence that insufficient domain knowledge materially affected the quality of decisions.
Owner: Marcus Diamor
04 / Weekly evidence
Evidence, one week at a time.
Performance data and retrospectives are recorded together. Each update asks what happened, what changed our understanding, and what the next iteration should do differently.
Week 2 - Strong Result, Imperfect Process
Record
2-0
Points for
329.2
Points against
268.74
Points per game
164.6
League rank
1
Retrospective / What happened
Chase-ing the Sun won Week 2, 151.98 to 105.08, improving to 2-0. The team finished the week with 329.20 cumulative Points For and the league's highest scoring output through two weeks. Strong performances from several core assets supported the result. At the same time, DJ Moore's in-game injury produced -0.10 points and exposed the roster to an outcome that could not have been anticipated from the pregame allocation alone.
What I learned
Strong results do not eliminate weaknesses in the management process. The 2-0 start and league-leading scoring provided encouraging evidence of performance, but a formal contemporaneous decision record had not supported the first two weeks. Week 2 also demonstrated the importance of separating decision quality from outcome quality: an unexpected injury can make a reasonable allocation appear poor after the fact. Performance should therefore be evaluated alongside the information and rationale available at the time decisions were made.
Next iteration
Beginning in Week 3, formalize prospective decision logging, document consequential choices before outcomes whenever practical, and maintain a RAID register for material risks. Reassess roster allocation through waivers, preserve flexibility around uncertain player availability, and establish the 2-0 / 329.20 PF / 164.60 PPG performance position as the observational baseline against which subsequent iterations can be evaluated.
05 / Synthesis
The conclusion is not written yet.
Findings should follow the evidence, not the other way around. This chapter will connect the weekly observations to broader lessons and a final assessment of the original question.
Continue following the practice.
New projects, perspectives, experiments, and observations—delivered occasionally.