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Published
Star ratings are easy to display.What matters is how they’re earned.
At Review-It, our scores aren’t generated by mass opinion, automated scraping, or popularity. They’re the result of independent, evidence-based assessment, applied consistently across every company we review.
Here’s how that works.
Step 1: Clear criteria before conclusions
We don’t begin with a score in mind.
Before any assessment starts, we define:
- what is being evaluated
- which criteria apply to that category
- what evidence is required
This prevents scores from drifting based on sentiment or expectation.
Step 2: Evidence-led research
Each company is reviewed using:
- publicly available information
- verifiable documentation
- observable business practices
- customer experience signals (where relevant)
No single source determines the outcome. Evidence is weighed, not counted.
Step 3: Consistency across companies
Every business in the same category is assessed against the same framework.
That means:
- no moving goalposts
- no special treatment
- no advantage gained through visibility or scale
Comparability only works when the rules stay fixed.
Step 4: Human judgement, not automation
We use tools to assist research - but judgement remains human.
This matters because:
- context can’t always be automated
- trade-offs require interpretation
- consumer risk isn’t evenly distributed
Final scores reflect informed judgement, not algorithmic output.
Step 5: A score that summarises, not replaces, explanation
Our star ratings are designed to:
- summarise findings
- highlight overall confidence
- sit alongside full explanations
They are never intended to stand alone.
If a score can’t be explained clearly, it isn’t ready to be published.
Step 6: Ongoing review and revision
Companies change. So do scores.
We monitor for:
- structural changes
- policy updates
- new risks or improvements
When meaningful change occurs, reviews and scores are updated accordingly.
What “no guesswork” really means
It doesn’t mean certainty. It means accountability.
Every score we publish can be:
- traced back to evidence
- explained in plain language
- reviewed and corrected if necessary
That’s how scoring earns trust - not through precision theatre, but through transparency.
At Review-It, star ratings are the outcome of assessment, not the starting point.
LinkedIn version
(Concise, confidence-building, professional)
How Review-It Scores Companies (No Guesswork Involved)
A star rating only means something if you understand how it was produced.
At Review-It, our scores are:
- based on defined criteria
- grounded in evidence
- applied consistently
- assessed by humans, not algorithms
- reviewed and updated when companies change
They aren’t:
- scraped from mass opinion
- influenced by payment
- adjusted for popularity
The stars summarise judgement - they don’t replace explanation.
That difference matters if trust is the goal.
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This article is part of Review-It’s wider work on review transparency and consumer decision-making. You can find more evidence-based insights at Review-It.co.uk.