superzadeh
If you’d cut your pay down to 25% of what you make, work 12h a day with a single 30min lunch break (that gets interrupted regularly), including several weekends and nights every month, without guaranteed vacations for holiday season/new year’s eve, work in a team that’s 50% understaff but still needs to deliver no matter what, without any carrer path forward, you’d leave your current SWE job right away. And in comparison, you’d still not be be even to close to what they do (i.e: cleaning up body fluids).
https://apps.apple.com/us/app/bunch-daily-leadership-coach/i...
Our team is on a mission to make sure everyone has a great manager. The amount of knowledge that exist in psychology research about leadership and teams is mind blowing, but surprisingly enough, almost none of it is used on a daily basis: in your sprints, stand-ups, one-on-ones or performance feedback. We want to change that.
Here's our open roles:
- Product Engineer: https://www.notion.so/bunch2/Generalist-Product-Engineer-248...
- Product designer: https://www.notion.so/bunch2/Senior-Product-Designer-2618dc2...
Prof. Charles O'Reilly -> https://www.gsb.stanford.edu/faculty-research/faculty/charle...
The model we're using is called: OCP (Organizational Culture Profiling => which measures the norms on individual, team and company level) and here are a few papers that are using it too: https://journals.sagepub.com/doi/10.1177/1059601114550713 https://escholarship.org/uc/item/5785r45z
Summary of the model by our team -> On 14 archetypes: https://bunch.ai/blog/14-leadership-types/ On company culture: https://bunch.ai/blog/company-culture/
16 personalities is a typical personality test, based on a trait-based approach: Myers-Briggs (originally based on Jung's theory). The Stanford model we use is based on the work of Prof. Charles O'Reilly, who was studying team and company culture and how that relates to performance and satisfaction at work.
So the model we used in the product basically measures more "what's important to you at work" and what your priorities are rather than "who you are" based on a pesonality model.
That also means that your mindset can change over the course of even just a few weeks, while personality is something more stable.
That way it is actually saying something about your priorities at work and is more directly linked to your behavior at work.
We built an iOS app for personalized 2-minute leadership tips (think Duolingo for learning how to lead or just work better in teams).
One of the challenges we've run into is the fact that there are several different working styles - there's no universal "right" way to lead. We found an interesting way to solve this problem using a model from Stanford. Here's a quick write up, that I hope you'll find interesting both from a technical perspective and for leading/building teams.
In any case, one of the things we try to achieve with our app is to help people in this situation: we have tips for resilience, self discovery and emotional intelligence that can help better handle this emotional rollercoaster.
It turns out that many people get pushed into leading a team a specific way (by their peers, mentors or lack thereof), instead of having the tools to find their own leadership style and learn how to grow it. That was one of the main motivations when we started working on the psychology of our app: we need to start by discovering people’s leadership style, and only then recommend content & tips that will help them on the journey
Also, there’s no harm at all in caring about privacy, rather the opposite, so your opinion is 100% valid!
That’s already quite hard to do with a 2 people tech-team, so adding on top of that limitations from cross-platform frameworks would have been shooting ourselves in the foot.
Also right when we started (in Feb), we had to implement Apple Sign-in, and the UX around it for React native or Hybrid framework was absolutely terrible.
In the end, I still think it was a good choice: while we compromise and make people wait a bit more for Android, it gave our (small) team a lot more focus. We learn and make mistakes on one platform, iterate faster on it, and once we feel comfortable with what we've done on iOS, we'll roll it out to Android (which we plan to do in Jan/Feb next year).
As for the rest, we have as many psychologists in house as we have software engineers, if that speaks for anything. Also after building our startup for 4 years now, we have definitely been through the grind (still going through it), and don’t push stuff that we wouldn’t use ourselves.