AI at work · Reporting judgment

Build Excel reports
you can defend.

The chart looks good. Can you explain where its numbers came from, what the formulas count and whether the conclusion holds?

Practise the checks that turn an AI-assisted workbook into a traceable report and a handover someone else can rerun.

Try the worked example Inspect the six outputs

Six modules and practical labs
About 4–5 hours planned
No coding required
Copilot is optional

Try the course first

Start with the question behind the number.

Open the real first lesson with Coach Q. Work through fictional reporting records and define which population, time window and denominator the question needs.

Enter your name, work email and phone, then verify your email to open lesson 1. No payment card is required.

Use fictional records for the exercises. You do not need to upload employer data to evaluate the course.

The workplace problem

A polished workbook can still steer the wrong decision.

The count improved. The rate did not.

Changing volume can reverse the story. Without a matching denominator, a claim of improvement may send the team in the wrong direction.

The refresh ran. A week is still missing.

A pivot can refresh successfully from an incomplete range. A current timestamp cannot replace source coverage and reconciliation.

The chart is clear. The source is not.

Unknowns converted to zero, joins that multiply rows and silent exclusions can make a neat chart misleading.

The author is away. Nobody can rerun it.

Without the source version, rules, steps and expected controls, the next report depends on one person’s memory.

Fictional worked example · adapted from C04

Fewer late orders. Higher late share.

The fictional Larkfield AI summary recommends expanding a scheduling tool because late orders fell. Check the matching exposure before using that claim.

Same late rule. Different order volumes.

Before · 79 late / 1,600 eligible4.94%Four complete weeks

After · 65 late / 800 eligible8.13%Four complete weeks

The late count fell 17.7%, while the late share rose 3.19 percentage points. Order mix and weekly staffing are unknown. These figures do not establish that the tool caused improvement or harm.

Open a defensible finding and next check

Report the count and rate separately, cite the source and disclose the missing context. Ask the actual decision owner to review comparable mix and staffing information before expanding. Reconcile source totals, ranges, filters and chart links first.

This is teaching data, not a customer result or evidence of course effectiveness.

One reporting chain

Define → reconcile → verify → visualize → explain → rerun.

Each module develops part of the same report. You predict a decision, inspect a worked contrast, practise, receive feedback and improve a reusable output.

Learn to challenge the result.

The course teaches reporting judgment and verification. It does not depend on a particular AI button or require an additional Copilot or Python license.

Work in the supplied fictional Excel workbook and use six worksheets. Apply the same checks with an assistant your organization permits, or calculate independently.

Try a finding with its limits

Editable example for review. Your edits are not saved or sent.

What you bring back

Six records you can adapt to a permitted report.

Report question and metric specification

Decision and audience; Numerator; Denominator; Unit of record; Reporting period and cutoff; Inclusion and unknown rules; Source and owner; Acceptance check.

Source reconciliation and cleaning log

Source ID and version; Raw row or control count; Record ID; Issue; Working-copy action and reason; Included excluded or unresolved; Remaining control total; Source correction owner.

Formula, aggregation and refresh verification record

Claim or result cell; Formula and referenced range; Expected result from independent check; Actual result; Blank zero and boundary tests; Pivot source filters and refresh; Difference and resolution; Release blocker.

Chart specification with an accessible data table

Question; Chart type and measure; Dates or categories; Units and axis range; Data source and refreshed at; Accessible table; Missing values and limitations; Annotation.

One-line finding, limitations and next decision

Finding; Supporting measure and source; Comparison basis; Important unknown or alternative explanation; Proportionate next step; Actual decision owner; Review date or trigger.

Rerun instructions, change log and release record

Source version and extract cutoff; Working-copy transformations; Formula and pivot checks; Refresh and range extension steps; Expected control totals; Exception or stop condition; Verifier and result; Actual release owner and decision.

Who this helps

For the person accountable for the report.

A good fit if you…

Prepare, review or explain recurring quality, service or operations reports.
Can open and edit an Excel workbook and use basic arithmetic.
Need to check AI-generated calculations and conclusions before they inform a decision.
Want another person to reproduce the result.

Bring other support when needed.

This course does not teach advanced Excel navigation, coding, specialist statistics, data engineering or regulated report certification. It cannot supply missing source facts, company policy, tool permission or release authority.

Use the actual approved metric, dictionary and correction/release procedure at work. Supplied fictional records allow practice without employer uploads.

Six linked modules

Build the report, then defend it.

MODULE 01

Pin down the question and the number

A director asks whether delivery performance improved. Define late against the promised date at acceptance, one order per record, the relevant period and the eligible population. A chart is premature until those choices are explicit. If the business rule is missing, ask the report owner; do not let an AI choose silently.

Your output: Report question and metric specification.