Printers for TeamsPrinters for Teams

Editorial Policy

Our editorial standards exist to earn and keep your trust. We separate journalism from monetization, document our methods, and correct mistakes transparently.

Independence and Ethics

We do not accept paid placement, sponsored verdicts, or vendor‑approved edits. Review units may be loaned; when so, we disclose it and return hardware after testing unless purchased. Gifts above nominal value are declined or donated. Conflicts of interest are disclosed and recusal is enforced.

Sourcing and Fact‑Checking

We rely on firsthand testing, vendor documentation, CVEs/security advisories, standards bodies, and interviews with admins and service techs. Data, claims, and quotes are verified by a second editor. Security guidance is reviewed by our print security specialist before publication.

Review and Update Process

  • Pre‑publish checklist: methodology applied, test logs captured, TCO inputs verified, and security features validated.
  • Periodic reviews: models are reassessed on firmware/driver changes, supplies availability, and field reliability.
  • Corrections: if we err, we fix promptly and add a dated note describing the change.

Funding and Affiliate Disclosure

Our site may use affiliate links. If you buy through these links, we may earn a commission at no extra cost to you. Affiliate relationships do not influence product selection, testing, or verdicts. We clearly label commercial relationships and segregate monetization operations from editorial decisions.

Data and Cookies

For details on personal data, cookies, analytics, and your rights, see our Privacy Policy. Editorial processes do not require personal data beyond normal site operations and reader communications.

Product Selection Criteria

We choose devices to test based on market relevance, workflow coverage (e.g., education, healthcare, finance), availability of parts/consumables, and security posture. We prioritize models with broad distribution and long‑term support lifecycles.

AI and Automation

We may use automation for data normalization, error checking, or generating tables from test logs. Narrative reviews and recommendations are created and edited by humans. We disclose any machine‑generated artifacts that meaningfully impact content.

Contact the Editors

If you see an error, bias, or omission, email [email protected] with the URL, your observation, and any supporting evidence. We review all editorial feedback and respond when action is taken.