Topic
11 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
Undated
Talent Signal does not have access to employees' demographic data such as race, ethnicity, age or work location, according to MacInnis.
“it doesn't have access to demographic data, it doesn't know your race, ethnicity, you know, your age, your work location”
Undated
Talent Signal labels each employee as high potential, typical, or in need of attention.
“it generates this thing called a signal, that is a stamp, basically, that says that this person is high potential, this person is typical, or this person is in need of attention.”
Undated
In its early-access version, Talent Signal generates a single signal per employee, based on their first 90 days of work.
“it generates 1 signal 1 time for 1 employee at their 90 day mark.”
Undated
Talent Signal shows calibration only within a customer's own company, so each group tends to show a roughly normal spread of high-potential and needs-attention employees.
“We give you only the localized version, and so you tend to see, like, a a a pseudo-normalized distribution”
Undated
Talent Signal is given each employee's job level as an input, calibrated across the companies whose data the model was trained on.
“one of the pieces of data that we do feed the model is someone's job level”
Undated
During development, Talent Signal flagged an engineer in India at Rippling as high potential, which MacInnis cites as an example of lifting someone from obscurity.
“she was an engineer in India who was working on one of our toughest problems, and she was singled out as a high-potential employee”
Undated
Rippling's internal policy bars anyone from making a significant employment decision based on Talent Signal alone.
“no one's allowed to make any significant decision using the model alone.”
Undated
Talent Signal currently produces signals only for individual contributors such as salespeople, support agents and engineers, not for managers.
“Talent Signal focuses on individual contributors in terms of developing signals. So, for salespeople and support agents and individual contributor engineers, it it, like, it only does a signal for them.”
Undated
In an alpha test, a CTO found a weak-seeming engineer flagged as high potential because the code was actually his own, written while coaching that engineer.
“the CTO of one of the, like, alpha test companies went in and saw that somebody he didn't think was a very strong engineer was flagged as high potential”
Undated
Talent Signal aggregates signals at the manager level to show the distribution of high-potential, typical and needs-attention employees, which Rippling says should be used only informationally.
“it does aggregate at the manager level to show you the sort of distribution of high potential, typical, and needs attention employees”
Undated
Rippling built the first version of Talent Signal for sales, engineering and support, which MacInnis says already have competitive, coaching-oriented cultures.
“when we selected sales engineering and support as the areas to build the 1st version”
Episodes