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Our methodology

Methodology v1.0 - Updated August 2026

We research every platform we cover rather than run it ourselves day-to-day, so we're upfront about what that means: our reviews are built from public information and user-reported experience, not hands-on testing inside a live fleet or job site.

For every review, we look at:

  • The vendor's own documentation, pricing pages, and product demos or walkthroughs
  • Verified user reviews on independent platforms (like G2, Capterra, and industry forums)
  • Discussion in trade-specific communities and forums where owners and dispatchers talk candidly about what they actually use
  • How the platform is positioned against its closest competitors on team size, price point, and feature depth

How we score software

Every product gets a ReviewLake Score out of 10, built from five weighted criteria. This score reflects how strong the product is, full stop - it is never adjusted based on whether a business is large or small.

DimensionWeightWhat it measures
Features & depth30%Workflow coverage and depth relative to what this category requires.
Value for money25%Capability delivered per dollar paid, benchmarked against this category's price range.
Customer support20%Responsiveness and independent user sentiment on support quality.
Ease of use15%How fast a new user can start doing real work.
Business fit10%How well the product delivers for the specific business size it's built for - scored the same way whether that's a solo operator or a 200-person operation.

Why we score software by business size

A platform built for a 50-person commercial operation isn't necessarily better than one built for a 5-person business - they're built to solve different problems at different scales. Forcing every product into one "best overall" ranking rewards whichever tool has the longest feature list, even when that depth is wasted, and expensive, for most buyers.

That's why we compare products within three business-size segments - Small Teams,Mid-Size, and Enterprise - rather than across all of them at once. Segmentation changes what a product is measured against. It never changes the underlying ReviewLake Score. A 7.3 for an enterprise tool and a 7.9 for a small-team tool both mean "strong product for its intended audience," not that one category of software is objectively worse than the other.

We classify each product's segment primarily from its stated positioning and typical team size - using pricing model, product complexity, and market positioning as secondary signals where a product's team-size range spans more than one segment.

How we choose a "Best for" badge

The strongest product within each segment - provided we've reviewed at least two competitors at that scale - earns a "Best for [Segment]" badge. Where only one product currently qualifies for a segment, we label it a "Top [Segment] Pick" instead of "Best for," and say so plainly on the page, because a badge implying a competitive win should mean we've actually compared it against alternatives.

Close scores - within 0.15 points of each other - get a secondary check: pricing transparency, how recently we verified the data, and any named standout feature one product has that its closest competitor lacks. We disclose that reasoning on the page rather than presenting a narrow win as decisive.

How we score

  1. 01 - Research
    We read vendor documentation, pricing pages, and demos, then cross-reference independent user reviews on G2, Capterra, and trade forums.
  2. 02 - Evaluate
    We assess Features, Value, Support, Ease of Use, and Business Fit for every product.
  3. 03 - Score
    We combine the five criteria into a single weighted ReviewLake Score out of 10.
  4. 04 - Segment
    We classify the product by the business size it's actually built for, using its own positioning as the primary signal.
  5. 05 - Compare
    We rank the product against others built for the same business size, not the entire category at once.
  6. 06 - Recommend
    The strongest verified product in each segment earns our top-pick badge - and we say explicitly when a segment doesn't yet have enough reviewed competitors for a true "best."

Editorial independence

Editorial scores reflect our own independent judgment based on the research above. They are not paid placements, and a product's score, segment, or badge is never for sale - our affiliate relationships, disclosed on theadvertising disclosure page, have no influence on which products we cover or how we score them.

Pricing changes frequently in this industry, so we note pricing structure and model rather than locking in exact figures that go stale. Always confirm current pricing directly with the vendor before making a decision. Scores and segment classifications are updated when we find evidence they should change, not on a fixed schedule or a vendor's request.

Something look outdated or wrong? Tell us atreviewlake@gmail.com and we'll look into it.