Adding an AI assistant to your marketing reporting stack sounds straightforward until it isn’t. A number gets fabricated. A currency gets mixed. A campaign gets renamed mid-period and the totals silently split into two rows. The damage shows up in the meeting, not in the tool.
This checklist walks through a structured pilot you can run on one existing report before connecting live systems or handing off distribution. It references Viktor, a Slack and Microsoft Teams-connected assistant with scheduled reporting and business tool integrations, as one possible option to evaluate. The checklist itself is not based on a hands-on product test. Treat it as a framework you adapt to your own setup.
Step 1: Pick one report with a clear decision attached
Start with a report someone already reads and acts on. A weekly paid-media recap works well when the owner needs to decide which campaigns to investigate before the next meeting. Skip the executive dashboard that pulls from every department.
Write down the decision the report supports before you build anything. For example: identify campaigns whose cost per qualified lead changed, show the underlying spend and lead counts, and flag what information is missing to explain that change. The assistant produces an inspectable draft. The campaign owner decides what action follows.
If your team hasn’t agreed on the metrics yet, resolve that first. Piloiting on undefined metrics just moves the argument into the output.
Step 2: Define the input contract
Give the pilot a small reference packet: the current export, the comparison export, metric definitions, and the campaign notes the reviewer is allowed to use. Keep an unchanged copy so another person can reproduce each total. Decide which file takes precedence if two sources disagree.

Five fields to specify explicitly:
| Field | What to Specify | Why It Matters |
|---|---|---|
| Date range | Exact start, end, and account time zone | A partial week can look like a performance decline |
| Currency | Currency for each account and any approved conversion method | Adding dollars and euros creates a meaningless total |
| Conversion | The exact event, source, and qualification definition | A form submission and a sales-qualified lead are different outcomes |
| Comparison | Equal-length period and treatment of missing data | Different denominators can reverse the apparent conclusion |
| Campaign identity | Stable ID plus readable name | Renaming a campaign should not create a new reporting row |
Keep spend, leads, and revenue in separate columns. Don’t ask the assistant to add platform-reported conversions across channels and call the result unique customers. If reporting sources overlap, state that limitation in the report itself.
Step 3: Write a source-linked assignment
A good assignment defines what a correct answer looks like. The following brief is adapted from the original checklist and can be used as a starting point:
Using only the supplied current-week and prior-week exports, prepare a campaign recap for the marketing owner. Show spend, qualified leads and cost per qualified lead by campaign ID. Label currencies and date ranges. Identify missing values and zero denominators. Link each conclusion to its source file and row or table. Separate observed changes from possible explanations. Return a draft and unresolved questions; do not change campaigns or distribute the report.
The source pointer doesn’t need to be elaborate. A filename, sheet name, and campaign ID is enough when the reviewer can open the same packet. What matters is that a reader can trace the claim without reconstructing the entire analysis.
Step 4: Check arithmetic before reading the narrative
Build a short worksheet with expected answers calculated independently before you look at the assistant’s output.
Here’s an illustration (not a product benchmark): a campaign with $600 in spend and 12 qualified leads has a $50 cost per qualified lead. If the comparison period shows $480 in spend and the same 12 leads, the cost was $40. That’s a 25% increase even though lead count stayed flat. A sentence about efficiency should point directly to those two numbers.
Any sentence blaming new creative, audience fatigue, or landing page changes needs supporting evidence beyond the arithmetic. When there are no qualified leads, require a clear statement about the undefined cost rather than a fabricated zero. Treat an absent export as missing data, not zero activity.
✅ Step 5: Run six acceptance checks

- Period check: Does the report use the requested dates and identify incomplete periods?
- Unit check: Are currencies, counts, and percentages labeled consistently throughout?
- Identity check: Do totals reconcile by campaign ID when names have changed?
- Exception check: Are missing rows and zero denominators explained rather than silently dropped?
- Evidence check: Can the reviewer trace every factual conclusion to a specific input?
- Boundary check: Did the assistant return only the requested draft without taking unrequested actions?
Record pass or fail beside each check and save any problematic output. A polished summary with an incorrect total fails the pilot. An accurate table with a vague explanation may need a narrower assignment rather than a different reporting stack.
Step 6: Confirm access and review ownership
Before connecting live systems, decide who can assign the task, inspect the inputs, and receive the output. Use the smallest set of connections needed for the report. Check whether the setup permits reporting access without campaign-editing access. If it doesn’t, use a reviewed export for the initial evaluation.
Viktor’s security page describes administrator controls and human approval requirements for sensitive actions. Check the current settings against your actual workspace requirements. A product description doesn’t replace a review of the access being granted.
Name a backup reviewer. Reporting workflows break when the only person who knows the input definitions is unavailable. The backup should be able to follow the source pointers and reach the same totals independently.
Step 7: Measure the whole reporting job, then expand one dimension at a time
Track preparation time, review time, corrections made, and unresolved questions. Include time spent gathering files or fixing the assignment brief. Faster drafting is useful only if the complete reporting job gets easier or more reliable, not just the drafting portion.
After several comparable runs, compare the pilot against your existing workflow. Did the reviewer catch fewer source inconsistencies? Could another teammate reproduce the totals? Did meeting participants understand what questions were still open?
Set your acceptance threshold before evaluating outputs so the decision doesn’t rest on how impressive a single demo looked.
If the report passes, add one new account, metric, or recurring schedule. Keep the original reference packet as a regression check. Don’t add a new CRM definition, a new channel, and automatic distribution in the same step. When a discrepancy appears, you need to know where it came from.


