Stackfix's team of experts curate and test software products, so you don’t have to. Here’s how.
Stackfix’s mission is to help businesses buy the right software. A key part of that is working out what software is (a) good, and (b) right for different users and use cases.
We believe that the only way to do that is via objective, independent testing of each product to produce expert insights and ratings. Here's how we do it:
We pinpoint the ~50 top products in a software category (e.g. CRM), so that we can focus our testing. To do this we:
We then interview independent, experienced users of each product - people who have used the product in the wild, at scale. These are not faceless stooges who have been paid to say glowing things by the vendor - these are independent, experienced users with the highest quality bars.
We also hold calls with each software vendor directly - to query functionality, pricing and their roadmap.
Finally, we spend a minimum of 3 days (though often it's months) testing each product ourselves - putting it through its paces and seeing if it walks the walk. No quarters given.
Our interviews and testing generate thousands of data points and pages of textual analysis.
For each product we score each objective feature (e.g. "Reporting") and subjective quality (e.g. "Ease-of-use") out of 10, apply a category-wide relative weighting to each score, and combine the weighted scores to create an overall score for each tool.
We then write an analysis of the product, calling out its strengths, weaknesses, who it is typically a good fit for, and who it is typically not a good fit for.
The cumulative analysis goes through multiple rounds of review with both Stackfix experts and our Product Advisory Board, to ensure accuracy and standardisation.
The result? A best-in-class, high quality, quantified, expert profile of a given software product.
One of the magical things about software is that evolves - in some cases very fast.
So a key part of our job is ensuring our data and analysis is currently accurate, rather than out-of-date.
To do this, we refresh our data at least every 3 months. Painful - but essential ✨