▲Takeaway19:30
Where Project Management Went After Scrum Masters Vanished
Nikita notes a shift that surprises people: scrum masters have largely disappeared from many companies, but the project-management work didn't. That responsibility, especially owning whether sprint goals are met, has increasingly moved onto engineering managers, whereas it used to land on PMs and caused a lot of friction.
- Scrum masters have largely disappeared in many companies
- The project-management work still exists and had to go somewhere
- It increasingly sits with engineering managers, not PMs
- Historically this fell on PMs and caused a lot of issues
“scrum Masters have like largely in many companies just kind of disappeared but then you think well where did that responsibility go because someone has…”
#project-management#engineering-managers#team-roles
▲Takeaway22:30
Why Data Scientists Should Be Embedded, Not Centralized
Nikita pushes for embedding data scientists directly into product teams rather than negotiating with a centralized data team for resources. As a PM, data access was always a blocker. Dedicated data people also get better and spot patterns faster when they're focused on one area of the product instead of context-switching every time a ticket comes in.
- Getting data was always a blocker for her as a PM
- Centralized data teams force resource negotiation with other teams
- Dedicated data people spot patterns better when focused on one product area
- Whether they're 'data scientists' or 'analysts' depends on the team's work
“data scientists as with most humans like we get better the more focused we are and the more in-depth we are in understanding the product…”
#data-science#team-structure#product-management
▲Takeaway24:00
The PM's Real Velocity Problem Is Deciding, Not Building
When teams aren't moving fast enough, Nikita first identifies where the velocity issue actually is. For PMs it's usually the velocity of decision-making: how long it takes to go from 'we need to do a thing' to defining it and deciding whether and how to build it. Execution velocity, by contrast, tends to fall on both PM and engineering.
- Diagnose where the velocity problem actually lives before fixing it
- For PMs the bottleneck is usually speed of decision-making
- It takes most companies a long time to go from need to defined decision
- Execution velocity is shared between PM and engineering
“for PMS it's often around the velocity of decision making right how long does it take us to actually from saying we need to do…”
#decision-making#velocity#product-management
▲Takeaway31:30
The Simple Question That Gets Teams to See Their Own Output
To help a team recognize it isn't delivering without triggering defensiveness, Nikita just asks questions. The core one is 'what did you deliver this Sprint,' followed by 'what did you deliver to production' and 'how long was the cycle time.' The goal is to seek understanding and let people see their own output as they review their work.
- Ask questions rather than accuse to avoid defensiveness
- Core question: what did you deliver this Sprint
- Follow up with what shipped to production and how long the cycle time was
- The questions help people see their own output as they review it
“the biggest thing is just you know if if folks are working on a Sprint it's very simply like what did you deliver this Sprint…”
#execution#coaching#output#leadership
▲Takeaway53:00
The One Question Nikita Asks Constantly: What Are You Optimizing For?
The question Nikita asks herself, her team, her friends, her husband, and even her five-year-old is 'what are you optimizing for.' Applied across short, medium, and long time horizons, it's an illuminating way to examine how you spend your time. In product it maps directly to OKRs and goal-setting, and re-asking it each quarter with new information surfaces the trade-offs.
- The recurring question: what are you optimizing for?
- Apply it across today, this quarter, this year, or any time horizon
- It's illuminating for both personal time and product goal-setting
- Re-asking it each quarter with new info clarifies the real trade-offs
- A paired question she likes: what problem are we trying to solve?
“I always ask what are you optimizing for like that's the question it's what are you optimizing for”
#prioritization#goal-setting#decision-making#okrs