Review / MOD.10 / v2.0.0

China Campaign Retrospective Template

Use a China campaign retrospective template to normalize evidence, compare outcomes with the original decision, diagnose funnel and execution gaps, and assign next actions.

China campaign reviewCross-platform analysisAgency reviewNext-action planning
MODULE STATUS READY TO INSTALL
VERSION
2.0.0
UPDATED
2026-08-01
LICENSE
MIT
FILES
04
INSTALL / campaign-retrospectiveREADY
npx skills add fffffrost/market-skills --skill campaign-retrospective
CHINA CAMPAIGN RETROSPECTIVE

Turn campaign evidence into the next owned decision.

A retrospective should not celebrate activity or explain results after the fact. Reconstruct the original decision contract, normalize the evidence, separate outcome from diagnosis, and end with a small set of owned changes that can be tested next time.

01 / CONTRACT

Recover the original plan

Restate the objective, baseline, target, audience, proposition, budget, timing, and planned decision thresholds.

What did the team agree success would mean before launch?
02 / EVIDENCE

Normalize the record

Align dates, sources, attribution windows, definitions, missing data, platform changes, and confidence levels.

Which numbers can be compared, and which cannot?
03 / OUTCOME

State what happened

Compare business and behavior outcomes with the baseline and target before interpreting causes.

What changed, by how much, and with what confidence?
04 / FUNNEL

Locate the break

Analyze audience, message, channel, creative, conversion, sales handoff, and retention without collapsing them into one verdict.

At which decision stage did evidence diverge from the plan?
05 / EXECUTION

Review operating quality

Check delivery, approvals, timing, ownership, experiment integrity, dependencies, and exceptions against the plan.

Was the result caused by the choice, the execution, or both?
06 / ACTION

Commit the learning

Convert findings into stop, continue, change, and test decisions with owners, dates, evidence needs, and follow-up reviews.

Who will do what differently, and when will we know?
TEMPLATE / COPY AND COMPLETEFrom fragmented metrics to an owned learning loop
CHINA CAMPAIGN RETROSPECTIVE TEMPLATE

ORIGINAL CONTRACT
Business objective:
Audience behavior objective:
Baseline / target:
Audience / proposition:
Budget / period:
Planned decision thresholds:

EVIDENCE QUALITY
Source | Date range | Definition | Attribution window | Missing data | Confidence

OUTCOME SUMMARY
Business result vs target:
Behavior result vs target:
Leading indicators:
Material unknowns:

FUNNEL DIAGNOSIS
Audience:
Message / proposition:
Channel and creative:
Conversion:
Sales / partner handoff:
Retention / follow-up:

EXECUTION REVIEW
What shipped as planned:
Delays / exceptions:
Approval or ownership gaps:
Experiment integrity:

DECISIONS
STOP:
CONTINUE:
CHANGE:
TEST NEXT:

ACTION REGISTER
Action | Owner | Due date | Evidence needed | Review date
SYNTHETIC REVIEW TRACE

Four distinctions that keep a retrospective honest.

The example is synthetic and does not imply a real performance benchmark. The linked case shows how evidence limits remain visible.

RESULTOutcome before explanation

Record what changed against the original target before offering a causal story.

DATAComparable before complete

Expose mismatched definitions and missing windows rather than combining every available metric.

CAUSEChoice versus execution

Separate a weak proposition from a late launch, broken handoff, or incomplete experiment.

ACTIONOwner plus evidence

Every change includes a due date and the signal that will confirm or reject it.

Open the full synthetic campaign review case
MINIMUM INPUT
  • Original brief
  • Platform and CRM exports
  • Execution timeline
  • Team and agency notes
OUTPUT
  • Result scorecard
  • Evidence-backed findings
  • Attribution limits
  • Owned action plan
BOUNDARY / NOT FOR THIS

Know where the workflow must stop.

  • Cannot finalize a retrospective before the decision period is complete
  • Missing or changed tracking definitions must remain explicit uncertainty
  • Does not infer causal attribution from platform correlations
FAILURE MODES

These conditions distort the result.

  • Platform metrics are compared without normalizing definitions and time windows
  • Agency reports and first-party evidence are accepted without reconciliation
  • Actions lack owners deadlines measurement points or data repairs
Report a skill problem ↗
EXECUTION PROTOCOL

How the skill works

  1. 01Reconstruct the original China contract
  2. 02Normalize platform and CRM evidence
  3. 03Analyze outcome funnel execution and explanation
  4. 04State attribution limits
  5. 05Convert learning into owned decisions
  6. 06Set the next measurement point
FIELD REPORT / CASE

See it inside a complete job.

The case preserves task context, source material, execution trace, output excerpts, and human decisions.

PACKAGE CONTENTS

Inspect the source before installing.

Instructions, templates, compatibility, and dependencies remain in one open directory.

  • ├─SKILL.md
  • ├─agents/openai.yaml
  • ├─listing.yaml
  • ├─references/retrospective-template.md
View source on GitHub ↗