A product demonstration should show how evidence becomes a decision your team can review. Business intelligence and decision-support capabilities overlap, so assess the actual workflow, source coverage and controls rather than relying on a category name.
Use these nine questions to examine evidence, recommendations, controls, and implementation. Ask the vendor to demonstrate the answers using a workflow like yours.
1. Does it show you what changed?
Ask the vendor to demonstrate a material change using data like yours. Check how the alert is configured, how fresh the data is, which thresholds it uses and how missing information is handled. Establish who owns the alert and what happens next.
2. Can it explain why?
Ask the platform to distinguish a possible contributor from a proven cause. What evidence supports the explanation? Which alternatives remain? Can the reviewer inspect the sources? A causal claim needs an appropriate method, not just two metrics moving together.
3. Does it recommend a next action, or just present insight?
Ask to see a recommendation with its reasoning, tradeoffs and level of certainty. Sometimes the right next step is further investigation. The product should make that clear rather than offering a confident action unsupported by the evidence.
4. Can it connect to action, or does it stop at the dashboard?
Ask what happens after a recommendation is approved. Check whether the system prepares a draft, routes a review, or changes a connected tool. Confirm permissions, exceptions, and the person responsible for the action.
5. Does it unify signals across functions, or just within one team?
Ask which teams and systems the proposed workflow needs to cover. A focused tool may be the right choice for one function; a cross-functional decision may need more sources and stricter access controls. Confirm the supported scope before implementation.
6. How much faster does it make your decisions, in practice?
Speed is a legitimate, measurable criterion, not a vague promise. Ask vendors for evidence, not adjectives: how many days does a decision cycle take today, and what specifically shortens it? A credible vendor should be able to point to a repeatable mechanism, such as automated anomaly detection or pre-built causal analysis, rather than a general claim of being "faster." If they cannot name the mechanism, the number is marketing, not measurement.
7. Does it reduce waste, and can that be shown?
Define how you will measure value before buying. Depending on the workflow, compare review time, avoidable spend, or another agreed outcome with a baseline. Ask the vendor what evidence the pilot can produce, how long it will take, and which other changes could affect the result.
8. Can your team act without waiting on an analyst?
Identify the recurring questions your team wants to answer without specialist help. Test whether the tool answers them accurately and shows its sources. Keep an escalation route for complex or uncertain questions.
9. What does implementation require?
Ask for the expected integration work, owners, training and ongoing maintenance. Include a plan for source changes, data quality problems and access reviews. A useful estimate states its dependencies and uncertainty instead of promising a best-case timeline.
The Underlying Test
Across the nine questions, the test is whether the tool helps your team reach a sound decision with less avoidable effort. Measure that against a real baseline, and include accuracy, control and follow-through alongside speed.
It is also worth remembering what a decision intelligence platform cannot do: outsource judgment. The best tools do not replace a leader's decision making, they remove the friction around it, so the decisions that do get made are faster and better informed.
As you evaluate vendors, resist the pull of feature lists and demo polish. Ask these nine questions directly.