The yardstick for AI sales tools, calibrated for non-profits.

How we test, score, and publish

Yardstick Research is an independent software research and consulting agency for B2B AI tools. We test the tools ourselves, score them on outcomes that matter, and publish the results. Methodology in plain sight, so any board member can check our work. For non-profits, NGOs, and foundations, we weight personalization quality, sender reputation, and cost-per-seat efficiency heavily. High-volume blast tools are usually the wrong answer for relationship-led fundraising and partnership BD, and licence cost matters more here than in any other industry we cover. Here's how that actually happens:

1. 01

   We evaluate every vendor in the cohort using public information and free-tier hands-on.

   Our researchers evaluate each vendor in the cohort using a defensible mix of inputs: vendor documentation and pricing pages, free-tier or trial-seat hands-on where the vendor offers one, video walkthroughs, third-party reviews (G2, Capterra), published customer case studies, practitioner discussion (LinkedIn, Reddit, NTEN community), and recent funding and news coverage. Where we can sign up and exercise the product directly, we do, and grade the output against a sample prospect: in the non-profit case, a foundation programme officer or a corporate-partnerships lead at a target company. We do not pay for paid tiers and we do not run a held-out cold-email campaign through every tool. Both are cost-prohibitive at the cohort scale this guide covers.

   Every claim in a tear-sheet is labelled MEASURED (free-tier hands-on observation, or output graded against a sample prospect), ESTIMATED (cost-per-seat efficiency derived from the vendor's pricing page and feature limits), or CITED (vendor-published or third-party benchmark, with the source linked).

2. 02

   We score on outcomes buyers care about, with weights we publish.

   Vendor decks sell features. Non-profit BD actually buys outcomes: foundation introductions that lead to grant submissions, corporate partnerships that survive procurement, and a sender domain that lands in the right inbox. We weight six dimensions: personalization quality 25%, ease of data integration & accuracy 25%, deliverability infrastructure quality 20%, cost-per-seat efficiency 15%, UI heuristics 10%, setup time 5%. The weights are public so you can argue with them, and so vendors can't quietly negotiate them. Most non-profit-discount and Tech-Soup pricing tiers show up on the cost-per-seat dimension, and we score those tiers, not retail.

3. 03

   We publish. Vendors check facts. Affiliate links are disclosed.

   Every vendor receives their scored tear-sheet seven days before publication and can flag factual errors (wrong pricing tier, misquoted feature, integration listed as native that's actually via a third party). Rankings can't be appealed; only factual corrections are accepted. Where the guide links to a vendor's product, that link may earn us a commission. Disclosed on every page where the link appears. Vendors do not pay for inclusion, placement, or ranking.