Examine human economic behavior

I need the consumer-behavior analysis compiled into a presentation for Thursday's strategy meeting. Combine sales by region, price elasticity calculations, and the three recent survey response sheets into one workbook. Put the headline elasticity and the top five product cannibalization risks on the first sheet, then send to Priya in commercial for her sign-off and to James, the head of strategy, second. Verify formulas for elasticity and that survey weightings are applied correctly before sending.

Before I send the behavior workbook to Priya in commercial, make it easy for an exec to approve pricing moves. Surface the headline elasticity and the projected revenue impact of a 5% price cut at the top, make the pricing assumptions and sample size findable, and flag any segments with low response rates that would make James hesitate. Keep the detailed regressions on a hidden sheet.

I calculated price elasticity for the North region and got an implausible -3.2, but the product manager insists demand is stable. I fear a weighting or time-window mistake, and James will cancel the pricing test if it's wrong. I have the sales timeseries, promotion calendar, and survey weights in the workbook. What is the most likely error and which three checks will confirm whether the elasticity is valid?

We keep handing executives spreadsheets with sudden outlier elasticities or numbers that change after minor edits. Over the last six pricing reports this has cost us credibility and delayed decisions. Where are we losing trust and what three concrete changes to our workflow and templates will stop these surprises and make our elasticity figures dependable?