RobotWise methodology
RobotWise scores are editorial planning signals, not lab certifications. We combine product records, availability stage, support model, ownership burden, feasibility constraints, and evidence freshness to help buyers decide whether to buy, demo, pilot, or wait.
Readiness
How mature, available, reliable, and practical the robot appears for its stated job today.
Stronger evidence: Shipping products, repeatable deployments, clear limitations, service channels, and mature category behavior.
Value
Whether the benefit appears reasonable for the price and ownership burden.
Stronger evidence: Transparent pricing, high utilization, moderate upkeep, and fewer expensive add-ons or subscriptions.
Hype risk
How far marketing claims appear to run ahead of real-world capability.
Stronger evidence: Independent reviews, public deployments, realistic task scope, and claims that match product constraints.
Support
How likely a buyer is to get setup, warranty, parts, repair, and escalation help.
Stronger evidence: Clear warranty terms, replacement parts, local service, business SLAs, and responsive support channels.
Ease of use
How much setup, supervision, workflow change, and troubleshooting a buyer should expect.
Stronger evidence: Plug-and-play setup, stable apps, simple maintenance, and low need for vendor-led integration.
Evidence hierarchy
What raises confidence
- 1.Independent hands-on testing or verified production deployments
- 2.Manufacturer specs plus consistent third-party reviews
- 3.Manufacturer specs, official product pages, support docs, and current availability
- 4.Pilot announcements, demos, or limited launch information
- 5.Announced claims without pricing, support, or deployment evidence
Feasibility
Category-specific deal-breakers such as thresholds, GPS cover, pool shape, service area, route width, integration, or safety exposure can lower confidence or add verification steps.
Ownership
Maintenance burden, recurring cost, subscriptions, warranty, serviceability, and common failure points inform value and recommendation risk.
Freshness
Observed price and availability snapshots are shown separately from editorial price ranges. Missing data is labeled as not yet researched.