ASSIGNMENT BRIEF · POST

Case: Write a Post-Match Executive Memo

Write a concise post-match executive memo: separate facts from interpretation, prioritize decisions, and communicate analysis to leaders without dashboard overload.

Professionals reviewing charts beside a laptop
Photo: RDNE Stock project.

01 · Deliverables

Artifacts another person can inspect

  1. 01Memo of no more than 300 words
  2. 02One chart or compact table
  3. 03Recommendation with an owner and next action
  4. 04One explicit uncertainty or missing-data note

What belongs in one page

  • Prioritize exceptions over exhaustive reporting.
  • Separate observed facts from interpretation.
  • End every issue with an owner, action, and follow-up date.

Facts, interpretation, ownership

One-page discipline

A memo should surface what changed, why it matters, and what needs attention before detail.

Fact vs interpretation

Hypothetical scenario: “Queue time reached 18 minutes” is an observation; “staffing caused the delay” remains a hypothesis until evidence supports it.

Action register

Each material issue needs owner, due date, and evidence required for closure.

Write the post-match memo

Write a one-page memo with five lines: result, two exceptions, one positive signal, and one risk. For each exception, add owner and next action. Add one short “what we still do not know” section.

Write for the reader who missed the analysis meeting

An executive memo should stand on its own. The reader may not know the metric definitions, may not have watched every clip, and may open the note hours after the match. Give the result, explain the significance, and point to the decision or follow-up. Do not make the reader reconstruct your logic from screenshots.

A strong memo can be short because it is selective. Use a few numbers only where they change the conclusion. Separate observed facts from interpretation, especially when sample sizes are small or the match context was unusual.

Use the “three plus one” rule

Write three findings and one recommended next step. Each finding gets a headline sentence, one piece of evidence, and one sentence of interpretation. The recommendation should name an owner or the next discussion where possible. Then cut any paragraph that does not change what the reader understands or does next.

Write the caveat before the recommendation

Before drafting the recommendation, write the strongest reason it might be wrong. Perhaps the comparison includes only two matches, ticket scans are incomplete, or the commercial result coincides with a promotion you cannot isolate. This prevents the memo from becoming advocacy for the analyst’s favorite conclusion.

Then write the recommendation in operational language: who should do what, by when, and what evidence would make you revisit the choice. A memo that says “continue monitoring” is usually unfinished unless it defines the next trigger.

Use data storytelling to keep the evidence hierarchy clear. One small table or chart is enough when it directly supports the decision. The memo should be useful even if the reader never opens the underlying dashboard.

A memo should make the next action obvious

Before polishing the submission, give the work to a skeptical reviewer with three questions: What decision is this supposed to support? Which assumption is doing the most work? What would make the recommendation change? If those answers are hard to locate, the project needs editing before it needs another chart.

Use Data Storytelling for Sports Decisions to revisit the weakest part of the method and KPI Design to check whether the output is appropriate for the role that would receive it. Add one edge case that your first version handles badly. A useful case study shows the correction instead of pretending the first attempt was clean.

Finish with a short handoff note: source, definitions, exclusions, refresh steps, and the next decision date. Compare the result with Power BI for Sports Performance & Business Reviews. The final portfolio piece should be understandable by someone who did not watch you build it, because that is much closer to how analytical work is reviewed inside a team.

What a demanding reviewer should ask of this case

Treat the case as if it were being handed to a colleague on a busy day. The reader should be able to identify the decision, the source of the evidence, the main assumption, and the requested action without watching a presentation. If those elements are scattered across tabs or paragraphs, reorganize the work before adding more analysis.

Run one adverse scenario. Change a high-impact assumption or introduce an edge case that the first version handles poorly. Use Data Storytelling for Sports Decisions to strengthen the method, then state how the recommendation changes—or why it does not. This is where a case study starts to demonstrate judgment rather than only execution.

Ask a second person to review the artifact with a timer. In the first two minutes, can they tell what happened, why it matters, and what should happen next? Compare their interpretation with KPI Design. If the reviewer focuses on a chart you considered secondary, either move the chart or make the decision hierarchy clearer.

The final handoff should include a source note, definitions, exclusions, refresh instructions, and one limitation that remains unresolved. Use Power BI for Sports Performance & Business Reviews to connect the case to the next skill or role. A strong portfolio case does not pretend uncertainty disappeared; it shows that the uncertainty was identified and managed.