2026 AI ROI Perception Survey Template

An AI ROI perception survey measures how stakeholders view the business value and financial returns of their company's AI investments. It captures the gap between spending and actual perceived impact, helping leaders identify which AI initiatives are delivering results and which need refinement or elimination.

Run this survey after 6–12 months of active AI deployment to gather meaningful performance data, or immediately before budget planning cycles when leadership evaluates AI spending. Conduct it also when adoption patterns reveal mixed results and you need stakeholder perspective to justify continued or reduced investment.

Large gaps indicate misalignment between investment level and perceived results. High spend with low ROI perception signals implementation or adoption barriers, unrealistic expectations, or poorly-targeted AI initiatives. Use this feedback to reallocate budget toward high-impact use cases and sunset underperformers.

Ask about AI impact broadly to capture organization-wide perception, then follow up with department-specific or use-case questions (like chatbots, automation, forecasting) to isolate which tools or applications are delivering value. This layered approach prevents bias toward headline AI investments.

Perception surveys capture stakeholder sentiment and qualitative impact, while actual ROI metrics rely on hard financial data like cost savings or revenue uplift. Perception data is faster to collect and reveals cultural adoption barriers, but should be paired with financial metrics for complete visibility into AI program health.