How is the 0-100 score calculated?

It's a weighted composite of five signals: sentiment (28%), rating (26%), volume (20%), recency (12%), and completeness (14%). Each signal is measured from public review data and business records, then combined into one score.

Why does sentiment matter more than the star rating?

Because two businesses can share the same star average for very different reasons. Sentiment looks at what recent reviews actually describe, such as repeated complaints about a specific issue, which a single average number can hide.

What does a low-confidence label mean?

It means a business has too few recent reviews to support a reliable score. We label these clearly rather than presenting them with the same confidence as businesses with a larger review history.

Can a business pay to improve its score?

No. Scores are generated only from the rubric and data described on this page and are never edited by hand. Where paid placement exists, it is labeled and does not change the score, and any editor-reviewed list ordering is disclosed on that specific page.

How we score foreclosure attorneys in Orlando Metro

What this page covers

The Orlando Metro Foreclosure Attorney Guide currently scores 130 foreclosure attorney businesses across the metro. This page explains, in plain terms, how that composite score (0-100) is built, why each signal is weighted the way it is, and where the data falls short. If you want the underlying reviews yourself, we link out to Google from each listing so you can read the source directly rather than take our word for it.

The five signals, heaviest first

Every business is scored on the same five measured signals. We combine them into one composite number using the weights below.

Sentiment, 28%. This is a synthesis of what recent reviews actually say: recurring praise, recurring complaints, and whether the same issue keeps showing up. It carries the most weight in the score.
Rating, 26%. The Google aggregate star rating, as a broad signal of overall satisfaction.
Volume, 20%. How many reviews a business has, log-scaled so that a business with five reviews isn't treated the same as one with five hundred, but also isn't crushed by comparison to it.
Recency, 12%. How recently people have actually left reviews. A foreclosure attorney who was well reviewed five years ago but has gone quiet since tells you less than one clients are reviewing this month.
Completeness, 14%. Whether basic business information is actually listed: phone number, website, hours, and address. A foreclosure case often runs on tight deadlines, so being reachable and easy to verify matters.

Why sentiment carries the most weight

A star average can hide exactly the pattern you need to see. Two firms can both sit at 4.4 stars, but one earned it with consistently smooth communication and the other has the same average dragged up by volume despite a cluster of recent complaints about missed deadlines or unreturned calls. The star number alone doesn't tell you which is which. Reading what recent reviews actually describe, not just how they're rated, is the only way to catch a pattern like that before you hire someone to handle a foreclosure case. That's why sentiment is weighted above the raw star rating itself.

Honest limits of this data

We synthesize themes from published reviews rather than republishing full review text, and every listing links back to Google so you can check the source yourself. A composite score is only as good as the reviews behind it. A business with only a handful of recent reviews doesn't have enough signal to support a confident score, so it is labeled low-confidence on the page. Treat that label as a real caveat, not fine print. We also refresh the underlying data monthly, so a firm that recently picked up a run of complaints, or improved after a rough patch, should show that shift within a normal update cycle rather than staying frozen at an old number.

How paid placement and editorial review are disclosed

Scores come from the rubric above and the underlying data, full stop. They are never edited by hand to move a business up or down. Where paid placement exists anywhere on this site, it is always labeled as such and it never changes a business's score. Separately, if any list on this site has picks or ordering that were reviewed or adjusted by an editor rather than generated purely from the rubric, that page discloses it plainly. This methodology page describes the scoring system itself, which is not editor-adjusted.

Who publishes this guide

The Orlando Metro Foreclosure Attorney Guide is published by Ondera Media, which builds local business directories for the Orlando Metro area with a focus on ranking foreclosure attorneys by quality rather than by who pays the most. Listings are built from published customer reviews and public business records, and the data is refreshed monthly so the rankings reflect current, real-world performance rather than a stale snapshot. Editorial oversight of the rankings is led by Elena Haddad, Editorial Lead. You can reach the publisher directly at trajahbuxton@outlook.com or 2038240275, or visit onderamedia.com for more on how Ondera Media's directories work. To browse the current rankings, start from the home page.

FAQ

How is the 0-100 score calculated?: It's a weighted composite of five signals: sentiment (28%), rating (26%), volume (20%), recency (12%), and completeness (14%). Each signal is measured from public review data and business records, then combined into one score.
Why does sentiment matter more than the star rating?: Because two businesses can share the same star average for very different reasons. Sentiment looks at what recent reviews actually describe, such as repeated complaints about a specific issue, which a single average number can hide.
What does a low-confidence label mean?: It means a business has too few recent reviews to support a reliable score. We label these clearly rather than presenting them with the same confidence as businesses with a larger review history.
Can a business pay to improve its score?: No. Scores are generated only from the rubric and data described on this page and are never edited by hand. Where paid placement exists, it is labeled and does not change the score, and any editor-reviewed list ordering is disclosed on that specific page.