Lesson 13 After launch: deliver reports and turn repeated work into tools
Reports are how the business uses the system
Post-launch delivery can include business reports and model-quality reports. The former identify vehicle, component, and service issues worth investigating, including possible new themes. The latter explain commonly mistaken labels, human-review findings, and the next improvements. Quality, marketing, and product teams may need different information and action owners.
Check that trend figures include sample size, period, channel coverage, deduplication, and counting rules. More complaints can reflect a channel change rather than a higher failure rate. Newly grouped themes are leads to investigate, not automatically confirmed problems.
Use a prototype to align before formal delivery
The team can start with a data-insight prototype where business users test prompts, save versions, batch-extract opinions, track progress and costs, and match labels. Demonstrate a complete workflow with authorized, anonymized examples. Focus on whether the results support a business decision and what still needs to be added.
For practice, choose one page, one input type, and one judgment to test. Ask business users what is useful and unclear, then revise scope. Use fictional data for public exercises; customer data, tools, and environments must stay within their authorization. A working demonstration does not prove permission, capacity, recovery, or acceptance readiness.
Five repeated tasks to retain
| Repeated task | Reusable tool | Human judgment to retain |
|---|---|---|
| Label review | Boundary and conflict checklist | Which department approves definitions |
| Example-library cleaning | Example-to-label consistency checks | Ambiguities and exceptions |
| Prompt tuning | Single, batch, and version-comparison workbench | Which errors are acceptable |
| Annotation | Prelabeling and correction workflow | Final labels and rule revisions |
| Quality reporting | Evaluation and error-analysis template | Numbers, causes, and action conclusions |
AI can organize material, generate code, and draft reports. People and customers still confirm business standards. Reuse structures, rules, and anonymized examples, not customer raw data or proprietary label catalogs.
Try this today
Using lesson 12’s fictional samples, write one business-report page and one quality-report page. Pick a task above and describe inputs, checks, outputs, human review, and reuse boundaries.
Outputs and acceptance
- Business report: counting rules for each conclusion and an owner for at least one unverified issue.
- Quality report: representative errors, improvement plan, and next review date.
- Tool card: an unfamiliar colleague can rerun anonymized examples and judge the result. A prompt alone is insufficient.
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