What Are Subscores And The Impact They Play On The Total G-Score
The G-Score Subscore Tool breaks down a firm’s overall propensity to expand in an industry (G-Score) into its Subscores that represent the main groups of drivers. It helps to understand what is primarily responsible for a company’s growth signals. It is visible for all displayed G-Scores by NAICS through a hover-over.
Subscores illustrate a firm’s performance for:
Firm: Drivers specific to the individual companies such as its age, size, funding status, tradeshow attendance, past expansions, etc.
Regional: Drivers representing the performance of the region such as business costs or the existing ecosystem, etc.,
Local Industry drivers measure the industry's performance in areas such as financial performance or trade, etc.
The impact of the AI’s Deep Learning that represents any possible combination of drivers such as the interaction between current or past firm and industry signals; for example, low state business costs in combination with a strong workforce could have a significantly higher impact on the G-Score than either of the variables on their own.
How Subscores Are Displayed
The Subscores are displayed on individually scaled ranges of low, average, and high, representing how well a company has performed in a category (firm, region, industry). Most importantly, the company is assessed relative to the average Subscore performance of companies that scored an overall G-Score of 5, (i.e. top performers).
Low shows a Subscore notably below the average Subscore of the 5s.
Average puts it around the average Subscore performance of 5s.
This is a very high performance - in the top 5% of companies.
High means it is above the average Subscore of the 5s, which is the best of the best in that Subscore.
As always, the comparisons are made between firms within each of the 22 industry sectors and within each subscore compared to the highest performers, so Subscores cannot be compared across major industrial sectors.
How Subscores Drive the Average of the G-Score
While the raw Subscores are driving the overall G-Score, how individually rescaled Subscores are displayed in the simplified graph means they will not necessarily add up to the overall G-Score. So, for example, you can have a company that looks like all of its Subscores are low, and maybe one is slightly below the average for a certain NAICS, but it still obtained a G-Score of 4. This is not surprising and happens because that Subscore near the average puts it in the group of 5s, which despite, the other low Subscores, brings up its total G-Score for that NAICS. The color scheme around the graphs helps with the interpretation, with green around the average of the high performers.
The Subscores displayed on the platform do not cover every signal used in the AI but are focused on the most prominent groups. Therefore, it is possible to see overall high G-Scores where the Subscores are all relatively low. In future versions of the Subscores, displaying additional groups is being considered.
We're thrilled to release this new feature to enhance your Gazelle.ai experience. As always, if there's anything we can do to help you get the very most out of your Gazelle.ai experience, please let us know!
Happy Gazelle-ing!