A table rarely answers a manager's real question: “What changed, and what decision is needed?” AI can help draft a note, but the team must first define what the numbers mean. Otherwise, polished language makes an error travel faster.
1. Give the table a data passport
Record the period, source, export date, units, currency and metric definitions. Check whether orders have been mixed with payments, plans with actuals, or rubles with thousands of rubles. Identify missing and unverified rows. Share only information your organization permits the account to process.
2. Ask for observations before causes
Describe what rose or fell, by how much, and compared with which period. A cause remains a hypothesis without supporting evidence. For example, a conversion decline during a price change does not prove the price was responsible: traffic mix, stock and calculation method may also have changed.
Sample Yasnora AI prompt:
Draft a management note from this permitted table. First list verified observations with the exact row, column, period and unit. Put hypotheses and missing information in a separate section. Do not recalculate metrics without a stated formula. Do not call correlation a cause. End with three questions a person must decide.
3. Verify every statement
Check arithmetic independently. For every number in the note, find the source cell and calculation rule. Remove or flag any result you cannot reproduce. Keep the note short: the key change, the confidence boundary and the next action matter more than twenty charts.
4. Keep ownership of the decision
AI can frame options; it cannot approve a budget or replace the metric owner. Our project handoff pack applies the same source-backed discipline to decisions and deadlines. For tables, units and formulas are just as important.
Yasnora AI helps structure text you provide. Files and Knowledge depend on account, limits and permissions; the team verifies data and decisions. Learn more at yasnora.ru and the Wicsora ecosystem. Русская версия.
