Methodology
Methodology
Our scoring model evaluates SaaS design agencies across focus, proof, product expertise, engagement clarity, transparency, and buyer fit.
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We do not publish fake reviews, fake ratings, or unsupported best-agency claims.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 scoring model
Scores are evidence-weighted, not popularity-weighted. A higher score means the public evidence is stronger for SaaS UX buying decisions. It does not guarantee project success, availability, pricing, or team fit.
Each criterion is scored from public evidence — positioning, case studies, service pages, third-party proof, and submitted corrections — then capped at the weight shown.
How scoring works
Each agency is reviewed against the same categories: SaaS focus, B2B and complex product experience, product UX expertise, dashboard/data/AI complexity, case study proof, engagement model clarity, content expertise, and transparency. The score is a structured editorial assessment of public evidence, not an average of user reviews.
We look for concrete signals: dedicated SaaS service pages, named case studies, product screens, workflow explanations, pricing or engagement details, third-party profiles, client proof, and resources that show how the agency thinks about product design. Unsupported claims receive less weight than verifiable examples.
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.