Methodology

This methodology explains how SaaS Design Agencies selects, reviews, scores, and updates agency profiles and category pages. It is designed to make the directory useful for buyer research while making commercial incentives and editorial limits visible.

We do not publish fake reviews, fake ratings, or unsupported best-agency claims. The index is built from public evidence, disclosed editorial judgment, and corrections when a company can support a change with verifiable information.

Trust summary

• Ownership: SaaS Design Agencies is maintained by the editorial team.
• Editorial process: Agency pages are based on public evidence, the published methodology, and human editorial review.
• Commercial relationships: Paid placements, if used, are labeled and kept separate from editorial evaluation.
• Corrections: We review supported factual corrections and update pages when evidence changes.
• Sponsored placements: Sponsorship can affect labeled ad placement, but not editorial scores, rankings, strengths, limitations, or best-fit notes.

How agencies are selected

Agencies are selected from public research, buyer relevance, case study evidence, submitted agency information, third-party profiles, and editorial review. We prioritize agencies that SaaS founders, product leaders, and design teams are likely to compare for product UX work.

Inclusion requires enough public information to evaluate the agency. A company does not need to be a sponsor, partner, or customer to be listed. A company can also be excluded or delayed when there is not enough public proof to score it responsibly.

100-point evidence score

Every score is built from verifiable public facts and a fixed formula — not an editorial opinion of how good an agency "feels." A higher score means the public, checkable evidence is stronger for SaaS UX buying decisions. It does not guarantee project success, availability, pricing, or team fit.

How each factor is scored

The 100 points come from six factors, each measured from a public source anyone can verify:

• Client satisfaction — Clutch rating (25 pts). The agency's Clutch.co rating, scored proportionally: rating ÷ 5 × 25 (a 4.8 rating earns 24).
• Proof volume — Clutch reviews (20 pts). The number of published Clutch reviews, banded: 100+ reviews = 20, 50–99 = 16, 20–49 = 12, 5–19 = 8, 1–4 = 4.
• SaaS specialization (20 pts). How focused the agency is on SaaS product design: SaaS-only positioning = 20, SaaS-heavy = 13, generalist = 6 — read from the agency's own positioning.
• Published case studies (15 pts). The count of case studies published on the agency site, banded: 50+ = 15, 20–49 = 12, 10–19 = 9, 5–9 = 6, 1–4 = 3.
• Years in business (15 pts). Track record from founding year, banded: 15+ years = 15, 10–14 = 12, 6–9 = 9, 3–5 = 6, under 3 = 3.
• Third-party recognition (5 pts). Verifiable awards or top-list placements (e.g. Awwwards, CSS Design Awards, Red Dot, Clutch top-lists): multiple = 5, some = 3, none = 0.

When a factor cannot be verified from a public source — for example an agency with no Clutch profile — that component scores 0 and is labeled as not publicly verifiable. We never invent a number to fill a gap. Each profile lists the sources checked so any figure can be re-verified, and figures such as Clutch ratings and review counts are point-in-time snapshots that change as agencies collect more reviews.

How often pages are updated

Priority category pages should be reviewed quarterly. Agency profiles should be reviewed at least twice per year. Pages can be updated faster when pricing changes, an agency publishes new case studies, an agency submits a supported correction, or a listed source becomes outdated.

Every major profile and category page should show an updated date. That date means the page has been reviewed for editorial accuracy; it does not mean every external source changed on that date.

How corrections work

Agencies, readers, and buyers can submit corrections when a profile is outdated, incomplete, or factually wrong. A correction should include the specific claim, the requested change, and a public source or other verifiable evidence.

Supported factual corrections should be made quickly. Editorial disagreements, such as whether a score should be higher, are reviewed against the methodology rather than accepted automatically.

How sponsored placements work

Sponsored placements, if used, are labeled separately from methodology-based editorial results. Sponsorship may affect where an advertisement, promoted listing, or sponsored module appears, but it does not determine an agency's editorial score, strengths, limitations, best-fit notes, or category ranking.

Why sponsorship does not determine score

The scoring system would become useless if payment changed the outcome. A sponsor cannot buy a higher score, remove limitations from an editorial profile, rewrite comparison logic, or prevent a better-fit competitor from being listed. Sponsored content and editorial evaluation must remain separate for the index to be useful.