Hirsch Tapadia

5 statements across 1 episodes · 0 bullish · 0 bearish · 1 people on the record · first statement Jan 6, 2022 by Hirsch Tapadia · across every show →

On the record as a speaker too: Hirsch Tapadia's record, appearances and statements → this page counts the times other people say the name.

Everything said about Hirsch Tapadia, oldest first

Jan 6, 2022 neutral
Assertion Not checkable as stated
Allstacks has 1,000 active users but processes data from 250,000 contributors
“So from the perspective of contributors, right, people generating platform data, it's over a quarter million, but from the perspective of actually users of the application you know, we're in the kind of hundreds to about a thousand.”
Hirsch Tapadia Jan 6, 2022 ▶ 16:39 300% YoY Growth, $1.5m Revenue Now Helping Dev Teams Manage Output
Jan 6, 2022
Insight
Humans rely on 'second derivative' confidence trends for collaboration, Tapadia argues
“Basically what we're trying to explain to folks is, are we confident in what we're saying we're going to do, or are we losing confidence in what we're saying we're going to do? Because that, that second derivative explanation is how humans make decisions with …”
Hirsch Tapadia Jan 6, 2022 ▶ 4:45 300% YoY Growth, $1.5m Revenue Now Helping Dev Teams Manage Output
Jan 6, 2022
Disclosure
Allstacks compensates CSMs for designing scalable success programs, not just renewals
“So we actually compensate our CSMs not just on renewals, but also on methods, techniques, programs that make customers successful that can be broadly applicable.”
Hirsch Tapadia Jan 6, 2022 ▶ 14:40 300% YoY Growth, $1.5m Revenue Now Helping Dev Teams Manage Output
Jan 6, 2022
Disclosure
Allstacks' three customer success managers each handle $1.5M quotas
“We have three customer success managers. Each one handles about a million and a half of quota.”
Hirsch Tapadia Jan 6, 2022 ▶ 13:15 300% YoY Growth, $1.5m Revenue Now Helping Dev Teams Manage Output
Jan 6, 2022
Disclosure
Allstacks uses machine learning to forecast software delivery dates and drift
“This machine learning algorithm that we developed that then predicts three things. When do we think it's going to get delivered? How does that date change it? And how is the change changing? So is it getting later faster? Is it getting earlier slower?”
Hirsch Tapadia Jan 6, 2022 ▶ 4:30 300% YoY Growth, $1.5m Revenue Now Helping Dev Teams Manage Output
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