Methodology

We use four kinds of data: customer-anonymised telemetry from our own platforms, public datasets we cite explicitly, vendor disclosures (filings, pricing pages, official docs), and structured surveys we run with named partner organisations. We never use scraped private data or unverified leaks.

• First-party telemetry: aggregated, never personally identifiable.
• Public datasets: government statistics, academic research, public filings.
• Vendor disclosures: pricing pages, product docs, regulatory filings.
• Surveys: methodology and sample size disclosed alongside any chart.

Our /compare/ pages score products on a fixed set of criteria per category. Criteria are chosen before products are loaded so we cannot reverse-engineer a winner. Scoring is reproducible: every cell links to the source that supports the claim.

• Criteria are published at the top of every comparison.
• Scores reflect what the vendor publicly says they support — not our opinion of marketing copy.
• When a vendor changes its product or pricing, the comparison is rebuilt and re-dated.
• Affiliate or partnership links, when present, are tagged separately and never affect scores.

Rankings ("best X for Y" lists) use the same scoring framework as comparisons but apply a published weighting profile per use case. We do not accept payment to alter rankings.

• Each ranking page declares the use-case profile it scored against.
• Ties are broken by the criterion most relevant to the named use case.
• Vendor mentions in rankings are independent of any commercial relationship.

When an article is drafted with AI assistance, every numerical claim, quote, and named-entity reference is verified against the source URLs supplied to the model. Synthetic statistics — numbers the model invents — are not allowed in published content. Our editor flow rejects any claim that does not resolve to a real source.

Some honest limitations of our work, so readers can decide how much weight to give it.

• Most of our customer telemetry comes from Southeast Asia — global generalisations are calibrated against public data.
• Pricing screenshots age fast — always confirm current pricing on the vendor's site before purchase.
• We do not run independent benchmarks on hardware/software — vendor-supplied numbers are labelled as such.
• AI-drafted articles can lag breaking news by hours; check the dateModified.