Most software advice is sold, not measured.
Analyst firms charge vendors placement fees to appear in their grids. Consultant shortlists reflect licensing relationships. The machinery of software recommendation is almost entirely funded by the companies being recommended, which means the advice you receive is not independent.
of enterprise software tools purchased in the last three years have been replaced or abandoned before the end of their contracted term, citing misfit as the primary reason. EVIDENCE · 2Post-mortem interviews with 212 IT decision-makers found that 61% had replaced at least one major tool within 24 months of deployment. The top cited reason was 'did not match our actual workflow' (67%) versus 'performance issues' (18%).Customer exit surveys · 18 months · 212 enterprises
Connect, diagnose, match.
Connect
Share your team's operational data: support tickets, workflow logs, and your current tool stack. We read signals, not surveys.
Diagnose
Our engine identifies the specific capability gaps that are limiting your team, matched against a continuously updated evidence base of real deployments.
Match
You receive a ranked list of tools with confidence scores, each tied to evidence from teams with comparable profiles. No sponsored placements.
Your median first-response time is 4.2 hours against a cohort median of 1.8 hours for teams of comparable size. Analysis of ticket routing patterns suggests EVIDENCE · 3Median resolution time for Tier 1 tickets increases by 2.4× when tickets must cross a tier boundary. Teams with automated routing rules that match agent expertise see 38% faster resolution at the same headcount.Helpdesk export · 90 days · 24,118 tickets the primary bottleneck is stale routing rules that send 61% of tickets to a general pool before reassignment. EVIDENCE · 4Stale routing rules (defined as rules not updated in over 90 days while ticket taxonomy changed) correlate with 2.1x higher first-contact resolution failure rate and 47% more customer-visible escalations.Routing audit · 14 teams · 6-month cohort The matching engine identified two tools with native workflow-aware routing that reduced reassignment rates by more than 40% in comparable deployments.
Select a citation to read the underlying record.
Every match traces back to a capability.
The ranking is blind to billing.
Vendors cannot pay for rank..
Every match is logged and auditable..
We never see who a vendor lost to..
The method is published in full EVIDENCE · 5The Whirpool Labs matching methodology is published under a CC-BY license. The full scoring algorithm, training data sources, and validation methodology are available at labs.whirpool.io/method.Methodology paper · v2.1 · peer reviewed
Pick your own tools. Know why you picked them.
No placement fees, no sponsored rankings. You stay in control of the decision. We give you the evidence to back it up. EVIDENCE · 6Teams using evidence-backed software selection report 2.3× higher satisfaction scores at 12 months versus teams using analyst-recommended tools, controlling for company size and industry.Longitudinal survey · 12 months · 847 teams
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