来自 Waymo 的产品经验 | Shweta Shrivastava (Waymo, Amazon, Cisco)
Product lessons from Waymo | Shweta Shrivastava (Waymo, Amazon, Cisco)
Waymo Product Roles
Shweta Shrivastava:
Are you proactively trying to challenge your own assumptions is extremely important, right? As a big enough product manager as well as a seasoned product leader, if you’re not doing enough of that, then I think you might not be listening. If there’s no conflict, if there’s no contention, then something is missing.
First Waymo Ride Experience
Lenny:
Welcome to Lenny’s podcast where I interview world-class product leaders and growth experts to learn from their hard one experiences building and growing today’s most successful products. Today, my guest is Shweta Shrivastava. Shweta is senior director of product management at Waymo, which if you’re not familiar with Waymo, they’re building self-driving cars that already live on the streets in San Francisco, LA and Phoenix. I actually got to take a ride in one ahead of this chat and you’ll hear all about that in this episode.
Before joining Waymo, was chief product officer at Nauto and AI started focusing on driver automation safety. Before that, she was head of product management at Amazon Web Services for their database and analytics services, and before that she was at Cisco. In our conversation, we delve into what it’s like to work as a PM at Waymo and how it’s both different and similar to software only products.
We talk about their KPIs and goals at Waymo, including how they track progress towards a future of self-driving cars, how they build subtle cues and behaviors into the cars to create trust for the rider and also for other cars on the road. Plus Shweta’s biggest lessons about building products and teams across the many companies she’s worked at. I can’t wait for the future of every car being self-driving, and it was super fun to learn about what goes into making this all happen. With that, I bring you Shweta Shrivastava after a short word from our sponsors.
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Shweta, welcome to the podcast.
Shweta Shrivastava:
Thank you. Great to be here.
Vehicle Body Language and Communication
Lenny:
It’s great to have you. I thought we’d start with just a little bit about what it is you do at Waymo today. What are you and your team’s responsible for at Waymo?
Shweta Shrivastava:
Yes, my team’s responsible for three key areas, I would say. One is building a big part of the software that actually runs on board the fully autonomous vehicle and that determines the actual behavior and trajectory of the vehicle. Secondly, building the simulation tools and technologies that are required to validate the performance of the system. And then, a third one of the teams focused on commercially scaling our ride-hailing business, which is one of our key go-to market applications for the technology we’re building.
Traditional vs. Autonomous Driving PM
Lenny:
So as you know, I arranged a ride for me in a Waymo in San Francisco. It was actually a really rainy day and it was quite mind blowing. I’ve never been in a self-driving car that had no driver sitting in the front. I have a Tesla and I turn on self-driving sometimes, but I’ve never experienced just sitting in the back and this thing just raises you around. Also, just like a memory hat is the app to call the Waymo, it feels like Google Maps except instead of just telling you how to get to a place like a car shows up and just takes you there and then you could change course as you’re driving and it’s crazy how quickly it became normal.
I’m just like, all right, we’re just riding around San Francisco in this self-driving car and just sitting in the back and telling you where to go. And so anyway, I’m going to ask you a bunch of questions around this, but I guess thank you for arranging that ride. It was quite special.
Shweta Shrivastava:
No, I’m glad that you were able to do that on a rainy day. So that’s a special bonus because, again, the technology has been performing very well, which has been very heartening for us to see.
Designing for Passenger Trust
Lenny:
A few questions along these lines, one thing that I noticed that was really cool is we’re trying to turn into a lane and there’s cars coming in that lane just continuing to move and the car just kind of subtly was inching its way out, communicating through this interesting body language thing of just like, can someone let me in? And it’s interesting, there’s no eye contact involved and it’s just like this, I don’t know, gesture that you all have to develop.
And so, I guess, the question here is just like what have you all learned? And I don’t know if you even work on that piece of it, but just, I’m curious how you think about creating this body language of the car communication system to help people understand what it’s trying to do.
Key Performance Metrics
Shweta Shrivastava:
We’re using a lot of human driving data to train our deep models. So it’s important to make sure that the behavior of the car doesn’t seem robotic, it can feel quite unnatural. And from the get-go, we focused on building a fully autonomous system. So it’s important to have that familiarity, that trust, building with the riders where they’re not daunted by technology, they don’t feel like they’re sitting in our walk. It has to feel very human-like, but in a good way. Making it safer than human driving, but then not making it feel unnatural.
And so we have deep learned models that can understand what the other road users’ intent is. So, stuff like which way the pedestrian is looking or what is their body orientation because that could tell you which way they’re headed. The road signs or the gestures, somebody is trying to stop the vehicle. The system can understand all those signals.
So because we’re using deep learn models trained on human driving, but again sort of in a good way. We discard the bad human driving data. We can mimic human driving behavior in a good way and that’s why you saw the behavior that you saw yesterday. Now, one thing to note is we can’t also just completely rely on explicit gestures and signs because a lot of driving has also social norms. If you’re in a pretty clear section in San Francisco, maybe it’s okay for pedestrians to cross even when they don’t have a walk sign.
Another city, another intersection might have a different social norm when it comes to pedestrians crossing the four-way stop sign or the crosswalk or what have you. And so, the car also has to learn about those social norms and be able to react to it. So, like I said, we don’t realize how sophisticated, how interactive and how social driving really is. And with our artificial intelligence capabilities, we have been able to incorporate a lot of that into our system behavior.
Barriers to Level 5 Autonomy
Lenny:
So before Waymo, you worked at non self-driving software companies, you worked at Amazon, Cisco, a few other companies. I’m curious what you’ve found to be the biggest difference working in a company like Waymo versus a traditional software company.
Shweta Shrivastava:
As I said earlier, it’s a highly complex, technically complex, system that we have built and we’re improving. And if I may say, it’s the most game changing product that anybody would ever work on.
Aligning Internal Long-Term Investment
Lenny:
I don’t know, Amazon’s pretty cool, but I totally get you.
Shweta Shrivastava:
I worked at Amazon, I’m a fan. And they have been pretty transformational with AWS and on the eCommerce side. But a fully autonomous driving system, it’s also a very, very hard problem. So it’s transformational from that perspective too. I would say that the PMC has to be able to go technically indeed, compared to what they would do in other software products. They have to be able to get into the details as much as needed. They have to be okay with uncertainty and ambiguity.
Again, I think, that is part and parcel of any product management role, but it’s even more so here. This is a long game and so you have to have the tenacity to play the long game and be continuously improving the product and make this thing a broad reality and future. So, those are some of the attributes. I would also say that there is some level of self selection here. You have to be driven by the mission to make the roads safer. We have about 1.35 million debts that happen every year across the world from traffic accidents and most of that is attributable to driving errors and driver distraction.
I’ve been guilty of checking my text messages while driving. I’ve seen other drivers do that. But a fully autonomous technology, you don’t have that risk. That’s the risk we’re trying to minimize. So they have to be driven by that mission. One other thing is that the concept of MVP, which is so widely popular in the SaaS product management world or product management world, in general, has a whole new meaning here at Waymo when you work in a product like this because safety is on top of mind for all of us and can’t really cut corners on safety.
The MVP bar itself for safety is extremely high for us. So, the core product management philosophy also, getting an MVP out there and then iterating with the real world deployment. It applies, but it’s just a different bar on that MVP.
Building Products and Teams Across Companies
Lenny:
Touching again on safety and human behavior, I was thinking a little bit as we’re chatting about, say of Tesla, which has self-driving car, self-driving capabilities and intellectually I know it’s probably going to drive a lot better than I am, but I still feel like I need to disengage it occasionally when I’m on a curvy road. I’m just like, I don’t know about this, I don’t want to leave room for error if there’s something that weird that happens.
And I imagine someone designing product for that weird behavior where I should probably trust it because it’s probably a lot better driver than I am, but I don’t know, I feel like I can do a better job. Is there anything you’ve learned about, I don’t know, human behavior or how to design software for these sorts of experiences that maybe surprised you or thought was really interesting or that was really important?
Shweta Shrivastava:
Since you mentioned Tesla, I just want to clarify that it’s a different system that we are building, which is for Waymo, we started by solving the problem of fully autonomous driving without a human driver at the wheel from the get-go. It’s not a driver assist or aid system which relies on the human driver taking over when there’s a complex situation. So I think that expectation is built into that kind of a product and so the human folks who are using that product will also have that mindset that, hey, I should be ready to take over when the situation demands because we’ve built the system from the get-go to work in a fully autonomous mode without a human driver intervention at the wheel.
We had to integrate this into our design philosophy from the very beginning that this has to feel credible, predictable and the writers have to be able to trust the system. So that has been sort of the core of the design philosophy. And so, what happens is, and I heard this from you as well, which resonated with me and I’ve heard this from a lot of our writers, that for the first five minutes of the ride it’s, wow, is this thing really happening.
But then it starts to feel very natural and as if this is how it was always meant to be. After the first five minutes, this is like uneventful. That’s exactly how it’s supposed to feel, but it’s not a happenstance that it feels that way. The naturalness, the smoothness and still adhering to safety at all times are things that are designed into the system. And then we make sure that the rider has visibility into what’s happening. If they’re not wearing the seatbelt, the rider support would call them. So then they know, okay, there’s a human that they can reach out to if they have an issue. They can look at the monitor in the car to understand what the car is seeing. So I think all these little things help develop that trust in the system.
Setting Boundaries and Self-Disruption
Lenny:
On that same note, what’s one thing that your teams have built that creates a lot of trust or maybe it was a surprisingly important element in creating trust in the experience in terms of the product, especially in, I don’t know, either the app or in car experience.
Shweta Shrivastava:
I don’t know if I can point to one thing. Again, this is such a holistic experience that I think it has to be a bunch of small things to make it feel natural, transparent and trustworthy to the writers. And I can give you one example that I don’t think I’ve mentioned in the discussion so far. So, again, because the system is designed to be cautious and defensive but still making adequate progress in the absence of traffic, it will never go above the speed limit. It doesn’t go above the speed limit. It sticks or adheres to the speed limit or something that a lot of our riders actually appreciate about the system.
Now, it turns out that adhering to the speed limit even without traffic sometimes is not the best thing. You have to go below the speed limit and we realize that for driving in the slopes or the gradients, in clients in San Francisco, there are many of those. The human brain is trained to, or the human drivers are sort of in subconsciously, they slow down when they go downhill in those slopes. The autonomous vehicle doesn’t necessarily have to do that if it’s safe and if it’s staying below the speed limit.
But we learned that this is a more natural driving experience and this is what our riders would also expect in terms of the experience. So that’s something that we then modify the behavior on.
Underrated PM Skills
Lenny:
That makes sense. I would want it to slow down. On the other hand, if I feel like I could trust that, I wish there was a button to just crazy mode, just go for it. Kind of digging a little bit into the product team’s way of working, what are KPIs that you all use to track progress? I don’t know, either amongst some of the teams you lead or also just broadly progress on self-driving technology. How do you know you’re making progress? Is it just miles driven as something else?
Shweta Shrivastava:
There are tons of these metrics that we analyze on a daily basis, weekly basis depending upon what the metric is. But if I were to categorize them in two broad categories, that’d be the commercial and operational metrics and the system behavior metrics. So, one important thing to note here is that we’re in a proof of concept or a pilot phase anymore. This is the service that we are offering to riders. Paid service in Phoenix and also it’s open to public in San Francisco, so it’s an actual service.
And so, we’re tracking the commercial metrics in terms of the trips per week, the daily or weekly active users and all the funnel metrics that you can think of. Also, the operational metrics, the cost, right? Well, how much is the thing costing us to operate? So that’s, I would say, all the stuff on the commercial scaling side. And then on the driver performance, the vehicle driver as the technology name as I alluded to earlier, the driver performance metrics, they span across safety, the compliance to the road rules, our ability to make adequate progress as in not get unduly stopped or stranded in dense traffic situations as an example.
Career Promotion Advice
Lenny:
What are just specific metrics there? Anything you could share just like what is the actual goal in one of those teams?
Shweta Shrivastava:
The goal here is to be able to drive safer than humans. Now, we don’t really have one standard human driving benchmark, safety benchmark, that everybody uses, but we do gather enough of that data. We have access to enough of that data to form an opinion on or a metric on or benchmark on what does human driving look like, how many collisions, as an example, a human driver would have every a hundred thousand mile. And then we want to make sure that our performance is better than that.
So that’s simplifying, right? And several things go into both calculating the benchmark as well as our performance against that benchmark. But that at the core of it, that’s what we’re trying to do. So that’s on the safety side and then I would say on the stops and strands, which is trying to, which goes in the different direction. Hey, you can be very safe if you’re not moving at all. That’s not what we’re building. We need to make sure that the riders get to their destination on time. So it has to be appropriately assertive and be making the right progress.
And, so again, how much did the vehicle slow down unduly, right? Or, in how many instances in a given week did it have to rely on a rescue help? Those are the situations that we want to avoid. And then, how much did we slow down the traffic for other users? So we again do extensive benchmarking and look at the priors, et cetera, and really understand would an adequate performance be there and measure our own against that.
Waymo’s Current State and Usage
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I’m guessing you’re not going to have an answer to when do we think we’ll have fully self-driving level five autonomy. So let me ask you a different approach to that question of just what’s most in the way of us getting to full self-driving where we don’t have to do anything ever? Is it like miles driven? Is it like tech breakthroughs that still have to happen? Is it regulation and just cities being like, okay, it’s fine. What’s the biggest blocker at this point or bottleneck?
Shweta Shrivastava:
So let me share my opinion on the L5.
Lightning Q&A Round
Lenny:
Cool.
Shweta Shrivastava:
So L for those who might not be very familiar with this term, L2, L3 is still very much driver assist. It gets to some level of autonomy but then it relies on the human driver at the wheel to be able to take over complex situations. L4 fully autonomous without a human driver at the wheel and no expectation of a human driver at the wheel. That’s what we’ve been focusing on. L5 would be in any kind of road completely unstructured, off-roading in that kind of an environment, be able to drive without any map, without any priors, what have you.
And we believe that by offering the kind of service that we are offering in Phoenix and in San Francisco through the rest of this year and other cities in future is it helps realize that the dream of the fully autonomous driving, in a big way, without having to go to L5. So I think that the technology is already there. L5, I’m not sure, maybe that becomes more niche, et cetera. It solves very specific use cases.
In terms of the blocker, I would say, the technology is there, but it still needs improvements. Especially we were not able to drive in snow yet. Something that we have to tackle in future.
Favorite Product Recommendations
Lenny:
I could barely drive in slow.
Shweta Shrivastava:
Yeah. And I don’t like to drive in snow. Even I, I avoid snowy days. But that is something that we still have to build as a capability in driving fully in snow now. So that’s great.
Effective Team Communication Rules
Lenny:
Makes sense. Clearly, there’s a lot of little things, a lot of big things and it’s a really interesting point about we don’t need L5, L4 is great for most people. Maybe a last question along this track and then I want to pivot to a different area. So Waymo’s been this long-term investment for Alphabet and many PMs often try to create buy-in and keep buy-in for large investment and large project. I know this is a different scale of investment than what most PMs work through. But is there anything you’ve learned about keeping leaders bought in and excited and continuing to invest in a project for years and years? Specifically just like tactics that keep people excited and bought into a long-term investment?
Shweta Shrivastava:
Yeah. So first of all, we are fortunate that we have the backing from Alphabet and other investors. And the autonomous vehicle industry is interesting and I think the last year has been interesting with more consolidation happening. So I think the name of the game here is to show progress, show meaningful progress and meaningful progress, not just in terms of technology but in terms of commercial deployments. That is the rubber meets the road, if you will, phase off of the product.
And the results have to speak for themselves, for our investors to have the confidence in us. So notwithstanding what’s happening to other AB companies in the industry, it’s about what we are doing. And then look at the progress that we’ve been making and where we are headed. And the fact that we’ve been accelerating our milestones and going through our own expectations, I think, these are very positive signals to our investors as well.
Another startup as well, t’s not about you have to do what’s the right thing for the business. Your focus is on creating value for the customers, creating value for the riders. You have to build a business that makes sense and the investors see that too. Or we’re not going to do something unnatural or something that doesn’t align with the business goals in order to gain any short term brownie points with investors. I think it doesn’t work that way and the investors will see through that too.
Definitely Alphabet has been our backer for forever. So, it’s really about focusing on building the right business and doing the right thing for the users.
Ride Experience and Closing Remarks
Lenny:
I think that’s a great takeaway that if you’re finding that there’s a buy-in and continued support for what you’re building, focus on momentum and showing success. It’s pretty simple if you think about it. And it’s hard to cut something that’s just showing success. And so, even at the scale of Waymo, it’s a great lesson. So that makes sense.
Shweta Shrivastava:
Absolutely.
Lenny:
We talked a bit about other companies you’ve worked at and so I want to kind of zoom out a little bit. And I just want to ask, you worked at Amazon, Cisco, Waymo now, startup you mentioned. What are just some of the biggest lessons you’ve learned about building successful teams and successful products?
Shweta Shrivastava:
In terms of the product, whether you’re working for a big company or a startup, the core product management tenant is still the same, which is, you have to work backwards from the customer problem or the user problem. Building a technology for the sake of it doesn’t really go that far, so you really have to focus on the, what are you building, who are you building it for and what problem are you solving?
And this applies in any context. And Amazon has this great process where the PMs have to write a press release for the finished product even before they start building the product. That’s the first thing that they have to do is to write that press release like the product is about to launch today. What are you telling the users about that product? Really forces them to think about the value proposition more thoroughly.
And I know many other companies are starting to look at that practice as well, but I find it very effective.
Lenny:
Do you do that at Waymo or do you folks do that? Is there kind of a system there or?
Shweta Shrivastava:
The explicit PR FAQ process that Amazon follows is, I think, Waymo has its own version of it. But it is about sort of focusing on the customer problem. Now, Waymo is also a very different kind of product. It’s highly integrated. And different types of product management flavors, if you will. Some are more technically focused and technically deep, some are more commercially focused. So they all adapt. They have their versions of working backwards from the customer problem. But that still remains the core tenant in my mind.
The other big lesson, at least working in some of the large companies that I have had is it’s also very important to know what you’re not building. And this one is not only in big companies, I would say even in startups, it’s extremely important to know what you’re not building because you could very easily get swayed by customer X telling you to do this, customer y telling you to do that. And a product that tries to be all things to all people usually doesn’t end up going anywhere.
So that focus, that prioritization and being crisp about what you’re building and what you’re not building is very important. And then, in the context of the large companies, what I was going to say was, I think, is the classic innovator’s dilemma. The large companies tend to be the market share leaders in their focus areas. And so, the product team and the product leaders can get very incremental in their product strategy and then lo and behold, you see an upstart that comes and disrupts them.
And so, I have definitely learned the lesson that you need to disrupt yourself before somebody else does because it’s going to happen. It’s inevitable. And large companies that are constantly challenging themselves and disrupting their own models or their own product capabilities to bring those, even something more transformational for the customers, are the ones that really succeed. And I think this is where the product leaders have to bring in that mindset of, hey, are we getting too complacent or it’s time to just.
Lenny:
That’s such a good reminder. Is there an example of you doing that or something you worked on where you got the company to commit to something that maybe could have been a threat from a disruptor or maybe even just seen that happening at a company? Just like is there a specific project or investment that comes to mind?
Shweta Shrivastava:
[NEW_PARAGRAPH]At Amazon, I was the first PM and then I drove the team around it for a no-code application development platform called Honey Code. So that was a brand new service. Amazon had never delved in that space before. It was more infrastructure focused and this was first of its kind service that the team worked on. And this has played out many times in my career, and so I am a big believer in disrupting yourself before somebody else does it.
Lenny:
What do you think is the most underrated PM skill that you suggest people, maybe especially early in their career, that they should focus on maybe that they’re probably not thinking about?
Shweta Shrivastava:
I think the listening and empathy are the top ones. These are very important because I think when folks think about product management, they think about the influencing without authority and prioritization and being able to write with PR, et cetera, all those things are sort of more top of mind. The listening and empathy, I wouldn’t say that they are underrated, I think is there’s now a lot more recognition that these are sort of core skills if you want to be able to influence a lot without authority.
But I think it’s easier said than done. You really have to come in with that growth mindset, with that beginner’s mindset, be able to absorb and just learn and listen and don’t jump in with ideas necessarily, right? Take the time to formulate that opinion to really learn and understand the customer and the market and really be true to that tenant of working backwards from the customer problem, not just say because it’s become such a platitude now in the product world.
Lenny:
Yeah, there’s a book. There’s a whole book called Working Backwards now.
Shweta Shrivastava:
Yes. That is the one thing that I would say that somebody who’s starting out as a product manager really try to follow that principle. And then listening and empathy is going to go a long way in terms of being able to do that.
Lenny:
On listening and empathy, what do you think helped you most develop those two skills?
Shweta Shrivastava:
So I think for me, part of it was just doing this over and over again in different environments, in different product launches that I have led in different types of companies that I’ve worked with. In startup as well as big company, the dynamic is different. And, again, the team that you’re working with in different companies have a different culture. So, when you’re working with let’s say an engineering leader, being able to understand what are his or her constraints? Where is he or she coming from? What does impact look like to that person? And then understanding where you’re aligned, where you’re not aligned are things that you have to develop and start paying a lot more attention to as you rise in your career or go up the ladder.
[NEW_PARAGRAPH]And I think a lot of that for me came by just being in different kind of situations and different kind of environments.
Lenny:
Yeah. That’s what I often say also, a lot of this just comes from doing it again and again and again. There’s not going to take a course and then just I’m a great listener, I’m done.
Shweta Shrivastava:
Yeah, no, it doesn’t.
Lenny (32:19)
Yeah, which is not easy to … It’d be nice if there’s a book you read and then you become a great listener and a great empathizer.
Well, I think one take or one that I could share is just challenging your own assumptions. So, I think listening with an open mind but then are you proactively trying to challenge your own assumptions is extremely important. As a big enough product manager as well as a seasoned product leader, if you’re not doing enough of that, then I think you might not be listening well, right? Or you might not be picking on the cues. If there’s no conflict, if there’s no contention, then something is missing.
Lenny:
It’s not often you’re going to be always right.
Shweta Shrivastava:
Yeah.
Lenny:
Maybe one more question along these lines. You’ve been promoted many times, now you’re in a place where you promote people and I’m curious for someone that maybe wants to get promoted or struggling to get promoted, what would you say are probably the reasons they aren’t? Or what do you think people should focus on if they want to just get a promotion and many promotions in their career?
Shweta Shrivastava:
I’m going to say something that might sound a little cheeky, but I think the way to get promoted is to not want it too badly. It is about you have to focus on the impact. It’s about having an impact and then doing what is right for the business. So not sort of optimizing things for your promotion, which look, we are all ambitious human beings. And there’s nothing wrong with wanting a promotion, just to be clear, and there’s nothing wrong with being ambitious, but then focus on the impact.
Are you working on the right things that will have the right outcome for the business? Because if you are and if you are giving it to your 100%, that will be visible. And making your ambitions known to your manager, to your leader, is a good thing that you should. And so, when the right opportunity comes, at least your leader or manager is aware that, hey, this person wanted to work on something more challenging, so maybe I put her on that project.
But you have to be focused on really creating the right impact for the company and not optimizing for yourself to get promoted. If you try to maneuver that too much, it becomes visible and it’s not a positive signal to the organization when they can see that that’s what you’re trying to do. And it also distracts you from the things that you need to be focusing on. So, I would say, improve your skillset as a product manager. Make sure that you’re made your vision known that you want to work on challenging high visibility projects or products that really test or stretch your skills and then be really dedicated to that cause and work on what has the business impact for the company, do the right things.
Lenny:
I really like that advice. I 100% agree with all of that. I have a couple final Waymo questions and then we’re going to get to our very exciting lightning round. Just for folks that maybe want to try out Waymo, so maybe just like where’s it live now? When do you think it’ll roll out to new cities? And then, how do people try it and use it if they live in one of those cities? If that’s possible.
Shweta Shrivastava:
We are already in the Phoenix metro area and in San Francisco. So in those cities you can just go and download the app and you can use the service. We have done initial fully autonomous testing in LA. And we’re going to be expanding in LA through the rest of the year, so stay tuned for more development on that front. And then, we do have a list of cities that we’re going to be rolling out in the coming years, but unfortunately, I can’t share that list just as yet.
Lenny:
And if someone lives in one of those cities, is there a way they could try to get on a wait list or try to use this stuff or is it closed doors right now?
Shweta Shrivastava:
So it is open doors in San Francisco and Phoenix.
Lenny:
Got it. So you just sign up and you get on the waitlist and then you might get off?
Shweta Shrivastava:
In Phoenix, I don’t even think that there is a wait list.
Lenny:
Oh wow.
Shweta Shrivastava:
On the waitlist.
Lenny:
I got to move to Phoenix. That’s cool.
Shweta Shrivastava:
Or just wait, just yeah, a little while in San Francisco. But yeah, Phoenix is great. So, if you want to move there, that’s totally fine.
Lenny:
No, I’m going to start packing tonight. Just joking. Anything else you want to touch on before we get to our very exciting lightning round?
Shweta Shrivastava:
No, I think we talked about a bunch of things. It’s been a great conversation so far.
Lenny:
It’s not over yet. We’ve reached our very exciting lightning round. I have six questions for you. Are you ready?
Shweta Shrivastava:
Bring it on.
Lenny:
Okay, here we go. What are two or three books that you’ve recommended most to other people?
Shweta Shrivastava:
Crossing The Chasm by Geoffrey Moore and Clayton Christensen’s Innovator’s Dilemma are still sort of the two classics in product management that I have quoted a lot and I have recommended to many folks.
Lenny:
Awesome. I’ve got both in my little bookshelf behind me.
Shweta Shrivastava:
Yeah, me too.
Lenny:
What’s a favorite recent movie or TV show that you’ve really enjoyed?
Shweta Shrivastava:
I have an eight-year-old daughter, so my viewing choices are very much influenced by what she watches. But let’s see, I did enjoy the Top Gun, the new Top Gun movie, Top Gun Maverick quite a bit. We watched it in the theater and visuals were just fantastic. I think it was also inspiring to see what Tom Cruise was able to do and it’s quite a feat that he pulled off at this age. It was very inspirational.
Lenny:
Fully agree. Favorite interview question that you like to ask people?
Shweta Shrivastava:
Especially at the senior levels, I always ask them, when was one time that you failed and what did you learn from it? I’ve seen that folks who has either say that they’ve never failed or they’re trying a success story as a failure story are usually, they’re disingenuous or have not had the depth of experience. So I ask that question and I’m looking for some real solid examples there.
Lenny:
Awesome. What’s a favorite recent product that you’ve discovered that you love?
Shweta Shrivastava:
I wouldn’t say that I recently discovered it. It’s on my wishlist to buy very soon. I’m all for sustainable mobility, so I am shopping for a foldable ebike so I can do more mountain biking without doing mountain biking. That’s the sustainable part for me, I guess.
Lenny:
Is there a specific model or brand that you are most excited about?
Shweta Shrivastava:
I would take recommendations from you, but I’m still shopping. I think electric, there are a couple.
Lenny:
All right. Folks who have recommendations, leave suggestions in the comments.
Shweta Shrivastava:
Please do.
Lenny:
And what’s something relatively minor you’ve changed in your team’s product development process that you’ve found has had a tremendous impact?
Shweta Shrivastava:
I wouldn’t say that this is a product development process, although, in different parts of phase of my career, I have definitely instituted different types of processes and tools that have helped improve the product development. But I would give you an interesting one that I use a lot in my prior company and then I use a different form of it here in Waymo is what I used to call as the rule of seven. If there have been seven emails in an email thread and you still haven’t resolved the issue, just call the person or get in a room huddle, resolve it live.
But the long email exchanges that don’t converge and go anywhere I feel are a waste of time for many people. So I’m like, you’ve got to a limit. Waymo is a bigger company, so the limit’s more like 10, but if you haven’t resolved something within an X number of emails, please just get on a call, get in a room and get it resolved.
Lenny:
I love that. And the idea is it’s seven if it’s like you and that person going back and forth seven times?
Shweta Shrivastava:
Yeah. Or all of people are just going back and forth. And then adding more people and then everybody chime in, but where is this thing really headed?
Lenny:
I love that. Final question. If anyone gets to ride in a Waymo, what’s a pro tip for them to have an awesome experience?
Shweta Shrivastava:
Bring your favorite playlist, sit back and enjoy the ride.
Lenny:
Great. When I was on my right, I turned on some jazz and it was raining outside. It was real cozy.
Shweta Shrivastava:
But did you actually do it on the … So, so there’s a feature, if you have a Google, you have to download the Google Assistant, but you can actually play your playlist list in the car.
Lenny:
That’s cool. No, I chose a station that was in there just like jazz music.
Shweta Shrivastava:
Okay. Yeah.
Lenny:
Yeah. Okay. This is great. All right. Hopefully I get another ride someday.
Shweta Shrivastava:
Yes, you should.
Lenny:
Shweta, this was amazing. I am going to start packing my bags for Phoenix. I’m going to sell my car. Everything’s going to change
Shweta Shrivastava:
Exactly what we wish for.
Lenny:
There’s your KPI. Thank you again for being here. Two final questions, where can folks find you online if they want to learn more, reach out, ask you maybe some questions, maybe apply to join Waymo if you’re hiring, and how can listeners be useful to you?
Shweta Shrivastava:
You can find me on LinkedIn. And then if you are interested in opportunities at Waymo, go to Waymo career web page. You should see all the open positions. It’s okay for you to reach out to me on LinkedIn as well for product management roles. How can listeners be useful to me? I would say, hey, sign up for the ride in Phoenix or San Francisco and LA when we open up, give us feedback.
Lenny:
Awesome. Shweta, thank you again for being here.
Shweta Shrivastava:
Thank you. It was great to have this conversation.
Lenny:
Bye everyone. Thank you so much for listening. If you found this valuable, you can subscribe to the show on Apple Podcast, Spotify, or your favorite podcast app. Also, please consider giving us a rating or leaving a review as that really helps other listeners find the podcast. You can find all past episodes or learn more about the show at lennyspodcast.com. See you in the next episode.
Glossary
| English | 中文 |
|---|---|
| Amazon Web Services | 亚马逊云科技 |
| Apple Podcast | Apple Podcast |
| Google Assistant | Google Assistant |
| Honey Code | Honey Code |
| KPI | 关键绩效指标(KPI) |
| Lenny | Lenny |
| MVP | 最小可行性产品(MVP) |
| Nauto | Nauto |
| rule of seven | “七次法则”(rule of seven) |
| Shweta Shrivastava | Shweta Shrivastava |
| Spotify | Spotify |
| Tesla | Tesla |
| Waymo | Waymo |
| Working Backwards | Working Backwards |
Reformatted by reformat_english.py
本文源自对Waymo产品管理高级总监Shweta Shrivastava的深度访谈,揭示了自动驾驶领域独特的产品管理哲学。Shweta指出,优秀的产品领导者必须主动挑战自身假设,而相较于传统纯软件行业,自动驾驶产品经理需要更深地沉入技术细节,并具备应对高度不确定性的长期毅力。文章的核心洞见在于,Waymo如何利用海量人类驾驶数据训练深度学习模型,赋予汽车微妙的“肢体语言”与社会规范意识,使其在复杂路况中既比人类更安全,又保持自然流畅,从而建立起乘客与道路参与者的信任。这不仅是对前沿技术的剖析,更是一堂关于在复杂物理世界中打磨产品的深刻课程。
来自 Waymo 的产品经验 | Shweta Shrivastava (Waymo, Amazon, Cisco)
访谈实录
Shweta Shrivastava: 主动去挑战自身的假设是极其重要的,对吧?作为一个资深的产品经理和经验丰富的产品领导者,如果你在这方面做得不够,我认为你可能并没有在倾听。如果没有冲突,没有争议,那就说明遗漏了什么。
Lenny: 欢迎来到 Lenny 的播客,在这里我采访世界一流的产品领袖和增长专家,向他们打造和增长当今最成功产品所积累的宝贵经验学习。今天我的嘉宾是 Shweta Shrivastava。Shweta 是 Waymo 的产品管理高级总监,如果你还不熟悉 Waymo,他们正在打造自动驾驶汽车,这些汽车已经在旧金山、洛杉矶和凤凰城的街道上行驶了。实际上,在这次聊天之前我体验了一把,你会在本期节目中听到关于这次体验的全部细节。
在加入 Waymo 之前,她曾是 Nauto 的首席产品官,这是一家专注于驾驶员自动化安全的人工智能公司。在此之前,她担任亚马逊云科技的数据库和分析服务的产品管理负责人,再之前她在思科工作。在我们的对话中,我们深入探讨了在 Waymo 做产品经理是一种怎样的体验,以及它与纯软件产品有何不同和相似之处。
我们讨论了他们在 Waymo 的 KPI 和目标,包括他们如何追踪迈向自动驾驶汽车未来的进度,如何将微妙的提示和行为融入汽车中,从而为乘客以及道路上的其他汽车建立信任。此外还有 Shweta 在她工作过的众多公司中,关于打造产品和团队的最大心得。我迫不及待地想迎接每辆车都实现自动驾驶的未来,能了解这一切背后所付出的努力也非常有趣。接下来,有请 Shweta Shrivastava。
Lenny: Shweta,欢迎来到播客。
Shweta Shrivastava: 谢谢,很高兴来到这里。
Lenny: 很高兴你能来。我想我们可以先简单聊聊你目前在 Waymo 的工作。你和你的团队在 Waymo 具体负责什么?
Waymo 的产品职责
Shweta Shrivastava: 是的,我想说我的团队负责三个关键领域。一是构建运行在全自动驾驶车辆上的一大部分软件,这些软件决定了车辆的实际行为和轨迹。二是构建验证系统性能所需的仿真工具和技术。三是,团队中有一部分专注于我们在商业上扩大网约车业务的规模,这是我们正在打造的技术的关键推向市场的应用之一。
乘坐 Waymo 的初体验
Lenny: 你知道的,我在旧金山安排了一次乘坐 Waymo 的体验。那天其实下着大雨,但体验相当震撼。我以前从未乘坐过前排没有驾驶员的自动驾驶汽车。我有一辆特斯拉,有时也会开启自动驾驶,但我从未体验过只是坐在后排,然后这辆车就带你四处转转。另外,令人难忘的一点是叫 Waymo 的那个应用程序,它感觉就像谷歌地图,只不过它不是仅仅告诉你怎么去某个地方,而是有一辆车直接过来接你并把你送到那里,然后你甚至可以在行驶途中改变路线,疯狂的是这一切这么快就变得习以为常了。
我当时就想,好吧,我们就这么坐着这辆自动驾驶车在旧金山转悠,我就坐在后面告诉它去哪儿。不管怎样,我准备围绕这个问你一堆问题,但我想先谢谢你安排了这次乘坐。这真的非常特别。
Shweta Shrivastava: 不客气,我很高兴你能在雨天体验到这些。这其实是一个特别的加分项,因为再次证明,这项技术表现得非常好,看到这一点我们感到非常欣慰。
车辆的“肢体语言”与沟通机制
Lenny: 沿着这个方向我有几个问题,我注意到一个非常酷的地方是,当我们试图并入一个车道,而那个车道上的车还在不断驶来时,Waymo 就会非常微妙地一点点往外挪,通过这种有趣的“肢体语言”来沟通,好像在说,能不能有人让我进来?有趣的是,这里不涉及眼神交流,就好像是你们必须开发出的一种,我不知道该怎么形容,手势。
所以我想问的是,你们从中总结了什么经验?我不知道这是否属于你的工作范畴,但我很好奇你们是如何思考为汽车通信系统创造这种“肢体语言”,以帮助人们理解它想要做什么的。
Shweta Shrivastava: 我们正在使用大量的人类驾驶数据来训练我们的深度模型。因此,确保汽车的行为看起来不生硬是非常重要的,生硬会让人感觉很别扭。从最开始,我们就专注于构建一个全自动驾驶系统。所以,与乘客建立那种熟悉感和信任感很重要,这样他们就不会对技术感到畏惧,也不会觉得他们是坐在一个机器里。它必须在好的方面感觉非常像人类。让它比人类驾驶更安全,但同时又不让人觉得不自然。
因此,我们拥有能够理解其他道路使用者意图的深度学习模型。比如行人看向哪个方向,或者他们的身体朝向如何,因为这能告诉你他们要往哪里走。路标或手势,比如有人试图拦下车辆。系统能够理解所有这些信号。
因为我们使用的是基于人类驾驶数据训练的深度学习模型,并且是以一种好的方式。我们剔除了不良的人类驾驶数据,从而能够以好的方式模仿人类驾驶行为,这就是你昨天看到那种表现的原因。现在需要注意的一点是,我们也不能完全依赖明确的手势和信号,因为很多驾驶也涉及社会规范。因为在旧金山一个视线非常开阔的路段,即使没有步行信号,行人过马路可能也是可以的。
而在另一个城市、另一个十字路口,对于行人在四向停车标志或人行横道等地方的过马路行为,可能会有不同的社会规范。因此,汽车也必须学习这些社会规范并能够对其做出反应。就像我说的,我们并没有意识到驾驶实际上是多么复杂、多么具有互动性、多么社会化。借助我们的人工智能能力,我们已经能够将其中很大一部分融入到我们的系统行为中。
传统软件与自动驾驶的产品管理差异
Lenny: 那么在加入 Waymo 之前,你在非自动驾驶软件公司工作过,你在亚马逊、思科以及其他一些公司工作过。我很好奇,你觉得在像 Waymo 这样的公司工作,与在传统软件公司工作最大的区别是什么?
Shweta Shrivastava: 正如我早些时候说的,我们构建并正在改进的是一个高度复杂、在技术上非常复杂的系统。如果我可以这么说的话,这是任何人都有可能参与开发的、最具颠覆性的产品。
Lenny: 我不知道,亚马逊也挺酷的,但我完全理解你的意思。
Shweta Shrivastava: 我在亚马逊工作过,我是它的粉丝。他们在亚马逊云科技和电子商务方面确实具有变革性。但一个全自动驾驶系统,也是一个非常、非常困难的问题。所以从这个角度来看,它同样具有变革性。我想说的是,与其他软件产品相比,产品经理必须能够真正深入到技术中去。他们必须能够根据需要深入到细节之中。他们必须能够接受不确定性和模糊性。
同样,我认为这是任何产品管理角色不可或缺的一部分,但在这里更是如此。这是一场持久战,所以你必须有打持久战的毅力,不断地改进产品,让这一切成为广泛的现实和未来。因此,这些是一些必备的特质。我还要说,这里存在某种程度的自我选择。你必须被让道路更安全的使命所驱动。全球每年因交通事故造成约 135 万人死亡,其中大部分可归因于驾驶错误和驾驶员分心。
我也曾在开车时看短信而感到内疚。我也看到过其他司机这样做。但对于全自动驾驶技术,你就不存在这种风险。这正是我们试图最小化的风险。因此,产品经理必须被这一使命所驱动。另一件事是,最小可行性产品(MVP)的概念在 SaaS 产品管理领域或整个产品管理领域非常流行,但在 Waymo 开发这样的产品时,它有了一个全新的含义,因为我们所有人的脑海中安全都排在首位,在安全上真的不能偷工减料。
对我们来说,安全方面的 MVP 门槛本身就已经极高了。所以,将 MVP 推出然后通过实际部署进行迭代这一核心产品管理理念依然适用,只不过是这个 MVP 的门槛不同了。
建立乘客信任的体验设计
Lenny: 再次谈到安全和人类行为,我们在聊天时我稍微在想,比如说 Tesla,它拥有自动驾驶汽车、自动驾驶能力,理智上我知道它可能开得比我好得多,但当我在蜿蜒的道路上时,我还是觉得我偶尔需要解除它。我就像,我对这个不太确定,如果发生什么奇怪的事情,我不想留有犯错的空间。
我可以想象,有人为那种奇怪的行为设计产品,我可能应该信任它,因为它可能是一个比我好得多的司机,但我不知道,我觉得我能做得更好。关于人类行为,或者如何为这类体验设计软件,你有没有学到什么让你感到惊讶、觉得非常有趣或者非常重要的东西?
Shweta Shrivastava: 既然你提到了 Tesla,我只想澄清一下,我们构建的是一个不同的系统,对于 Waymo 来说,我们从一开始就致力于解决没有人类驾驶员在方向盘后的全自动驾驶问题。它不是一个依赖人类驾驶员在复杂情况下接管的驾驶辅助或援助系统。所以我认为这种预期是内置在这类产品中的,因此使用该产品的人类也会有这种心态,即,嘿,在情况需要时我应该准备好接管,因为我们从一开始就构建了这个系统,以便在没有人类驾驶员在方向盘干预的情况下以全自动驾驶模式工作。
我们必须从一开始就将这一点融入到我们的设计理念中,即这必须让人感觉可信、可预测,并且乘客必须能够信任这个系统。所以这在某种程度上一直是设计理念的核心。因此,实际发生的情况是,我也从你那里听到了这一点,这引起了我的共鸣,我也从我们的许多乘客那里听到过,在乘车的前五分钟,他们会觉得,哇,这事情真的在发生吗。
但随后它开始感觉非常自然,就好像这本就该是这样。在最初五分钟之后,这就变得平淡无奇了。这正是它应有的感觉,但感觉起来如此并非偶然。自然感、平顺性以及始终如一地坚持安全,这些都是被设计到系统中的东西。然后我们要确保乘客对正在发生的事情有可见性。如果他们没有系安全带,乘客支持人员会给他们打电话。这样他们就知道,好的,如果遇到问题,他们可以联系到真人。他们可以查看车内的显示器来了解汽车看到了什么。所以我认为所有这些小事情都有助于培养对系统的信任。
Lenny: 同样的话题,你们的团队构建的哪一项功能创造了极大的信任,或者就产品体验而言,特别是在应用程序或是车内体验方面,它是一个出人意料的重要信任建立元素?
Shweta Shrivastava: 我不知道我是否能指出具体的一件事。同样,这是一个非常整体的体验,我认为它必须是一系列的小事情,才能让乘客感觉自然、透明和值得信赖。我可以给你一个例子,我认为我在目前的讨论中还没有提到过。同样,因为系统被设计为谨慎和防御性的,但仍然要在没有交通拥堵的情况下取得适当的进展,它永远不会超过限速。它不会超过限速。它坚持或遵守限速,这实际上是我们的许多乘客非常欣赏系统的原因之一。
现在,事实证明,即使在没有交通拥堵的情况下,仅仅遵守限速有时也不是最好的做法。你必须低于限速,我们意识到,在旧金山的斜坡或坡道上行驶时,那里有很多这样的地方。人类大脑习惯于,或者人类驾驶员在某种程度上是下意识地,当他们在这些斜坡上下坡时会减速。如果安全且保持在限速以下,自动驾驶汽车不一定非得那样做。
Shweta Shrivastava: 但我们了解到,这是一种更自然的驾驶体验,这也是我们的乘客在体验方面所期望的。因此,我们随后修改了这方面的行为逻辑。
Lenny: 这很合理。我也会希望它减速。但另一方面,如果我觉得能信任它,我倒希望有个按钮可以直接切入疯狂模式,一路狂飙。稍微深入探讨一下产品团队的工作方式,你们用来追踪进展的关键绩效指标(KPI)是什么?无论是你领导的某些团队内部,还是广泛的自动驾驶技术进展都可以。你们如何判断自己正在取得进展?仅仅是行驶里程还是其他什么指标?
具体的性能指标
Shweta Shrivastava: 我们有大量的这类指标,根据指标的不同,我们每天或每周都会进行分析。但如果要我把它们分成两大类,那就是商业与运营指标以及系统行为指标。因此,这里需要注意的一个重要事项是,我们不再处于概念验证或试点阶段了。这是我们向乘客提供的服务。在凤凰城是付费服务,在旧金山也对公众开放,所以这是一项实际的服务。因此,我们正在追踪商业指标,例如每周行程数、日活或周活用户数,以及你能想到的所有漏斗指标。还有运营指标,成本,对吧?运营这个东西需要花费我们多少成本?所以我想说,这就是商业规模化方面的所有内容。然后是驾驶员性能,即我之前提到的作为技术名称的车辆驾驶员,驾驶员性能指标涵盖安全性、对交通规则的遵守情况,以及我们取得适当进展的能力,例如在交通拥堵的情况下不会不当地停车或被困住。
Lenny: 那里有哪些具体的指标?你能分享些什么吗,比如其中某个团队的实际目标是什么?
Shweta Shrivastava: 这里的目标是能够比人类驾驶得更安全。现在,我们确实没有一个大家都使用的标准人类驾驶基准或安全基准,但我们确实收集了足够多的此类数据。我们能够获取足够的数据,从而对人类驾驶的样子、例如人类驾驶员每行驶十万英里会发生多少次碰撞等形成看法、指标或基准。然后我们要确保我们的表现优于该基准。这么说算是简化了,对吧?计算基准以及我们相对于该基准的表现涉及到许多因素。但究其核心,这就是我们试图做的事情。这是在安全性方面,然后我想谈谈停车与搁浅情况,这走向了另一个方向。如果完全不动,你可以非常安全,但这并不是我们在构建的东西。我们需要确保乘客按时到达目的地,因此它必须适当地果断,并取得正确的进展。那么,车辆不当减速了多少,或者在给定的一周内,它在多少情况下必须依赖救援帮助?这些是我们想要避免的情况。然后,我们在多大程度上拖慢了其他用户的交通?因此,我们再次进行广泛的基准测试,查看先验数据等,真正理解适当的表现应该是什么样,并以此衡量我们自己的表现。
L5自动驾驶的阻碍
Lenny: 我猜你可能无法回答我们认为何时能实现完全自动驾驶的L5级自动驾驶这个问题。所以让我换个方式来问这个问题,究竟是什么最阻碍我们达到完全不需要我们做任何操作的完全自动驾驶?是行驶里程吗?是仍需发生的科技突破吗?是监管问题,还是仅仅是城市方面说“好吧,没问题”?目前最大的阻碍或瓶颈是什么?
Shweta Shrivastava: 那么让我分享一下我对L5的看法。
Lenny: 很好。
Shweta Shrivastava: 对于那些可能不太熟悉这个术语的人来说,L2、L3仍然很大程度上是驾驶辅助。它达到了某种程度的自主性,但在复杂情况下仍然依赖方向盘后的人类驾驶员来接管。L4是完全自主的,方向盘前没有人类驾驶员,也不期望有人类驾驶员。这就是我们一直专注的。L5则是在任何完全非结构化的道路上,在越野等环境中,能够在没有任何地图、没有任何先验数据等情况下驾驶。我们相信,通过在今年剩余时间及未来其他城市提供我们在凤凰城和旧金山提供的那种服务,有助于在很大程度上实现完全自动驾驶的梦想,而无需达到L5。所以我认为技术已经具备了。至于L5,我不确定,也许它会变得更加小众等等,它解决的是非常特定的用例。至于阻碍,我想说,技术已经具备了,但仍然需要改进。特别是我们还不能在雪地中行驶,这是我们在未来必须解决的问题。
Lenny: 我在雪地里都开得很慢。
Shweta Shrivastava: 是的。而且我也不喜欢在雪地里开车。连我自己都会尽量避开雪天。但这是我们现在仍然必须建立的一项能力,即在雪地中完全行驶的能力。所以这很棒。
维持长期投资的内部认同
Lenny: 有道理。显然,这有很多小事,也有很多大事,而且关于我们不需要L5、L4对大多数人来说就很好的观点非常有趣。也许是沿着这个思路的最后一个问题,然后我想转向一个不同的领域。Waymo 一直是 Alphabet 的一项长期投资,许多产品经理经常试图为大型投资和大型项目创建并保持认同感。我知道这与大多数产品经理处理的投资规模不同。但是关于让领导者保持认同和兴奋,并在数年时间里持续投资于一个项目,你学到了什么吗?具体来说,就是那些让人们保持兴奋并认同长期投资的策略?
Shweta Shrivastava:
是的。首先,我们很幸运拥有 Alphabet 和其他投资者的支持。自动驾驶行业很有趣,我认为过去一年随着更多整合的发生,情况也很有趣。因此,我认为这里的关键在于展示进展,展示有意义的进展,而且这种有意义的进展不仅体现在技术上,还要体现在商业部署上。可以说,这就是产品真正落地的阶段。结果必须能说明一切,才能让我们的投资者对我们有信心。因此,不管行业内其他自动驾驶公司发生了什么,关键在于我们在做什么。然后看看我们取得的进展以及我们的发展方向。事实上,我们一直在加速实现各个里程碑并超越我们自己的预期,我认为,这些对投资者来说也是非常积极的信号。
对于初创公司也是如此,关键在于你必须做对业务正确的事情。你的重点是为客户创造价值,为乘客创造价值。你必须建立一家合理的业务,投资者也能看到这一点。我们不会为了在短期内赢得投资者的好感,而去做一些不自然或不符合业务目标的事情。我认为这行不通,投资者也会看穿这一点。毫无疑问,Alphabet 一直以来都是我们的支持者。所以,这真的在于专注于建立正确的业务,并为用户做正确的事情。
跨公司的产品与团队构建经验
Lenny: 我认为这是一个很好的收获,如果你发现你所构建的东西获得了认同和持续的支持,那就专注于保持势头并展示成功。仔细想想,这其实很简单。而且,你很难砍掉一个正在展示成功的东西。因此,即使在 Waymo 这样的规模上,这也是一个很好的教训。所以这很合理。
Shweta Shrivastava: 绝对的。
Lenny: 我们稍微聊了一下你工作过的其他公司,所以我想稍微把视角拉远一点。我只想问,你曾在亚马逊、思科工作过,现在是 Waymo,还有你提到过的初创公司。关于构建成功的团队和成功的产品,你学到的最大教训是什么?
Shweta Shrivastava: 在产品方面,无论你是在大公司还是初创公司工作,核心的产品管理原则仍然是一样的,那就是你必须从客户问题或用户问题出发逆向工作。仅仅为了技术而构建技术并不能走得很远,所以你真的必须专注于你在构建什么,为谁构建,以及你要解决什么问题?这适用于任何情况。亚马逊有一个很好的流程,产品经理甚至必须在开始构建产品之前,就为最终产品写一份新闻稿。他们要做的第一件事就是写这份新闻稿,就好像产品今天就要发布一样。你要向用户传达关于该产品的什么信息?这确实能迫使他们更彻底地思考价值主张。我知道许多其他公司也开始关注这种做法,但我发现它非常有效。
Lenny: 你们在 Waymo 会这么做吗,或者你们团队会这么做吗?那里有没有类似的体系?
Shweta Shrivastava: 亚马逊遵循的那种明确的 PR FAQ 流程,我想 Waymo 有自己的版本。但这本质上都是关注客户问题。现在,Waymo 也是一种非常不同的产品。它是高度集成的。可以说,它包含了不同类型的产品管理风格。有些更侧重于技术且技术深度很高,有些则更侧重于商业化。所以它们都在适应。它们都有自己从客户问题出发逆向工作的版本。但在我看来,这仍然是核心原则。
明确边界与自我颠覆
另一个重要的教训,至少在我工作过的一些大公司里是这样,那就是知道你不构建什么也非常重要。这一点不仅限于大公司,我想说即使在初创公司,知道你不构建什么也极其重要,因为你很容易被客户甲要求做这个、客户乙要求做那个所左右。一个试图满足所有人所有需求的产品,通常最终哪里也去不了。因此,这种专注、这种优先级排序,以及清晰地明确你构建什么和不构建什么,是非常重要的。
然后,在大公司的背景下,我刚才想说的一点是,我认为这就是经典的创新者的窘境。大公司往往是其专注领域的市场份额领导者。因此,产品团队和产品领导者在产品战略上可能会变得非常渐进式,然后突然间,你就会看到一个后起之秀出现并颠覆他们。因此,我确实学到了这样一个教训:你需要在别人颠覆你之前先颠覆自己,因为这种事总会发生。这是不可避免的。那些不断挑战自我、颠覆自己的模式或产品能力,从而为客户带来更具变革性体验的大公司,才是真正能取得成功的公司。我认为这正是产品领导者需要带入这种思维的地方,比如,嘿,我们是不是变得太自满了,或者是时候该……
Lenny: 这是一个非常好的提醒。你有没有这样做的例子,或者你参与过的某个项目,是你让公司致力于某件事,而这可能原本会构成被颠覆的威胁,或者哪怕只是你亲眼目睹了公司在发生这种情况?有没有什么具体的项目或投资浮现在脑海中?
Shweta Shrivastava: 在亚马逊,我是第一位产品经理,随后我带领团队围绕一个名为 Honey Code 的无代码应用开发平台开展工作。那是一个全新的服务。亚马逊以前从未涉足过那个领域。它当时更侧重于基础设施,而该团队研发的这种服务是同类中的首创。这在我的职业生涯中多次上演,所以我非常相信在别人颠覆你之前先自我颠覆。
被低估的产品经理技能
Lenny: 你认为最被低估的产品经理技能是什么?你建议人们,尤其是职业生涯早期的产品经理,应该把精力集中在哪些他们可能没有想过的技能上?
Shweta Shrivastava: 我认为倾听和共情能力排在首位。这些非常重要,因为我认为当人们想到产品管理时,他们会想到非职权影响力、优先级排序以及能够撰写新闻稿等等,所有这些事情都更容易被首先想到。关于倾听和共情,我不会说它们被低估了,我认为现在人们越来越认识到,如果你想具备很强的非职权影响力,这些其实是核心技能。但我认为说起来容易做起来难。你真的必须带着成长型思维和初学者心态进来,能够吸收并仅仅是学习和倾听,不一定要急于抛出想法,对吧?花时间形成那种观点,去真正学习和了解客户和市场,真正忠于从客户问题出发逆向工作这一原则,而不是仅仅嘴上说说,因为它现在在产品界已经成为一种老生常谈了。
Lenny: 是的,有一本书。现在有一整本叫 Working Backwards 的书。
Shweta Shrivastava: 是的。我想说的是,对于刚刚起步的产品经理来说,真的要尝试遵循那个原则。然后,倾听和共情在帮助你做到这一点方面,将会发挥巨大的作用。
Lenny: 关于倾听和共情,你认为什么对你培养这两项技能帮助最大?
Shweta Shrivastava: 我认为对我而言,部分原因只是在不同环境、在我主导的不同产品发布中、在我合作过的不同类型的公司里反复实践这一点。无论是在初创公司还是大公司,动态都是不同的。而且,你在不同公司合作的团队也有着不同的文化。因此,当你在与一位工程负责人合作时,要能够理解他或她的限制是什么?他或她的出发点是什么?对那个人来说影响力是什么样的?然后理解你们在哪里一致,在哪里不一致,这些都是你在职业生涯中向上发展或晋升时必须培养并开始投入更多关注的事情,而我认为我在这方面的大量收获,仅仅来自于身处不同类型的情境和环境中。
Lenny: 是的,这也是我经常说的,很多时候这仅仅来自于一次又一次地实践。不可能上完一门课,然后就觉得“我是个很棒的倾听者了,我完成了”。
Shweta Shrivastava: 是的,确实不是这样。
Lenny: 对,这并不容易……如果有一本书,读完之后你就能成为一个伟大的倾听者和共情者,那就太好了。
Shweta Shrivastava: 嗯,我想分享的一点就是挑战你自己的假设。因此,我认为带着开放的心态倾听,但随后你是否在主动尝试挑战自己的假设,这一点极其重要。作为一个资深的产品经理以及经验丰富的产品领导者,如果你在这方面做得不够,那么我认为你可能没有很好地倾听,对吧?或者你可能没有捕捉到那些线索。如果没有冲突,如果没有争议,那就说明缺失了什么东西。
Lenny: 你不可能总是对的。
Shweta Shrivastava: 是的。
关于晋升的建议
Lenny: 也许可以顺着这个方向再问一个问题。你经历过很多次晋升,现在你处于能够提拔别人的位置,我很好奇,对于那些可能想要获得晋升或正在为晋升而挣扎的人,你会说他们没有获得晋升的原因可能是什么?或者你认为,如果人们想在职业生涯中获得一次或多次晋升,他们应该把重点放在哪里?
Shweta Shrivastava: 我要说一些可能听起来有点俏皮的话,但我认为获得晋升的方法是不要过于渴望它。关键在于你必须专注于影响力。在于产生影响力,然后做对业务正确的事情。所以不要为了你的晋升去优化事情,当然,我们都是有野心的人。我想明确一点,想要晋升并没有错,有野心也没有错,但随后要把重心放在影响力上。你正在做的事情是否能为业务带来正确的结果?因为如果是,并且如果你投入了百分之百的精力,这将是可见的。让你的经理、你的领导知道你的野心,这是一件你应该做的好事。因此,当合适的机会来临时,至少你的领导或经理会知道,嘿,这个人想要从事更有挑战性的工作,所以也许我应该把她安排在那个项目上。但你必须专注于真正为公司创造正确的影响力,而不是为了自己获得晋升而进行优化。如果你试图在这方面操纵太多,它就会变得可见,当组织能看到这就是你试图做的事情时,这就不是一个积极的信号。而且这也会分散你对那些你需要关注的事情的注意力。因此,我想说,提升你作为产品经理的技能组合。确保你已经让别人知道了你的愿景,即你想参与那些真正考验或拓展你技能的、具有挑战性的高可见度项目或产品,然后真正致力于那项事业,去做那些对公司有业务影响的事情,做正确的事。
Waymo 的现状与使用
Lenny: 我非常喜欢这个建议。我百分之百同意你说的所有话。我还有几个关于 Waymo 的最后问题,然后我们将进入非常令人期待的闪电问答。对于那些可能想尝试 Waymo 的人,也许可以说说它现在在哪些地方提供服务?你认为它什么时候会推广到新城市?然后,如果人们住在这些城市之一,他们如何尝试和使用它?如果可能的话。
Shweta Shrivastava: 我们已经在凤凰城大都会区和旧金山落地。所以在这些城市,你只需要去下载应用程序就可以使用该服务。我们在洛杉矶已经完成了初步的完全自动驾驶测试。在今年的剩余时间里,我们将在洛杉矶进行扩展,所以请密切关注这方面的更多进展。然后,我们确实有一份未来几年将要推广的城市名单,但遗憾的是,我暂时还不能分享这份名单。
Lenny: 如果有人住在其中一座城市,有没有办法让他们尝试加入候补名单或尝试使用这项服务,还是说目前是封闭的?
Shweta Shrivastava: 所以在旧金山和凤凰城是开放的。
Lenny: 明白了。所以你只需注册,然后进入候补名单,接着你可能就会通过审核?
Shweta Shrivastava: 在凤凰城,我甚至认为没有候补名单。
Lenny: 哇哦。
Shweta Shrivastava: 在候补名单上。
Lenny: 我得搬到凤凰城去了。太酷了。
Shweta Shrivastava: 或者就等等,在旧金山只需要等一小会儿。不过是的,凤凰城很棒。所以,如果你想去那里,完全没问题。
Lenny: 不,我今晚就要开始收拾行李了。开个玩笑。在我们进入非常令人期待的闪电问答之前,你还有什么想补充的吗?
Shweta Shrivastava: 没有,我想我们已经谈论了很多事情。到目前为止,这是一次很棒的对话。
闪电问答
Lenny: 还没结束呢。我们已经到达了非常令人期待的闪电问答环节。我有六个问题要问你。准备好了吗?
Shweta Shrivastava: 放马过来吧。
Lenny: 好的,开始了。你向其他人推荐最多的两三本书是什么?
Shweta Shrivastava: Geoffrey Moore 的《Crossing The Chasm》和 Clayton Christensen 的《Innovator’s Dilemma》仍然是产品管理领域的两部经典之作,我经常引用它们,并向许多人推荐过。
Lenny: 太棒了。我身后的小书架上就有这两本。
Shweta Shrivastava: 是的,我这也是。
Lenny: 最近你非常喜欢的一部电影或电视节目是什么?
Shweta Shrivastava: 我有一个八岁的女儿,所以我的观影选择很大程度上受她看的东西的影响。但让我想想,我确实非常喜欢《壮志凌云》,也就是那部新的《壮志凌云:独行侠》。我们在电影院看的,视觉效果非常棒。我认为看到汤姆·克鲁斯能够做到这些也很令人振奋,他在这个年纪完成了这样一项壮举。这非常鼓舞人心。
Lenny: 完全同意。你最喜欢问候选人的面试问题是什么?
Shweta Shrivastava: 尤其是在高级职位层面,我总是会问他们,你有一次失败是什么时候,你从中学到了什么?我发现那些要么说自己从未失败过,要么试图把成功故事当作失败故事来讲的人,通常是不真诚的,或者缺乏经验的深度。所以我问这个问题,是在寻找一些真正可靠的例子。
Lenny: 太棒了。最近发现的、你喜欢的一个产品是什么?
Shweta Shrivastava:
Shweta Shrivastava: 我不会说这是我最近才发现的。它在我的愿望清单上,准备很快购买。我非常支持可持续出行,所以我正在挑选一辆折叠电动自行车,这样我就可以在不进行山地自行车运动的情况下,体验更多山地骑行的乐趣。我想这就是对我来说可持续的部分。
产品推荐
Lenny: 有没有你特别期待的具体型号或品牌?
Shweta Shrivastava: 我愿意接受你的推荐,但我还在挑选。我觉得是电动的,有几个选择。
Lenny: 好的。有推荐的朋友,请在评论区留言。
Shweta Shrivastava: 请务必留言。
高效的团队沟通规则
Lenny: 那么在你们团队的产品开发流程中,你做过什么相对微小的改变,却发现产生了巨大的影响?
Shweta Shrivastava: 我不会说这是一个产品开发流程,尽管在我职业生涯的不同阶段,我确实推行过不同类型的流程和工具,帮助改善了产品开发。但我想分享一个有趣的例子,我在之前的公司经常使用,然后在 Waymo 使用了它的另一种形式,我以前称之为“七次法则”(rule of seven)。如果在一个邮件链里来回发了七封邮件,问题仍然没有解决,那就直接打电话给对方,或者聚在一个房间里,现场解决。但是那些无法达成共识也没有结果的冗长邮件交流,我觉得对很多人来说是在浪费时间。所以我的想法是,你必须设定一个限度。Waymo 是一家更大的公司,所以限度更像是十次,但如果你在 X 封邮件内还没有解决某件事,请直接打个电话,或者进个房间把它解决掉。
Lenny: 我喜欢这个。这个想法是指,如果比如你和那个人来回七次的话,就是七次吗?
Shweta Shrivastava: 是的。或者是所有人都在来回发邮件。然后不断增加更多的人,每个人都插话几句,但这事情到底要走向哪里?
乘车体验与结语
Lenny: 我太喜欢这个了。最后一个问题。如果有人有机会乘坐 Waymo,要想获得一次很棒的体验,你有什么专业建议吗?
Shweta Shrivastava: 带上你最爱的播放列表,坐下来享受旅程。
Lenny: 太棒了。当我在乘车时,我放了一些爵士乐,外面在下雨。真的很惬意。
Shweta Shrivastava: 但你实际上是在……上做的吗?所以,有一个功能,如果你有 Google,你必须下载 Google Assistant,但你其实可以在车里播放你的播放列表。
Lenny: 很酷。不,我选了里面自带的电台,就是爵士乐。
Shweta Shrivastava: 好的。是的。
Lenny: 是的。好的。这很棒。好吧。希望有一天我能再坐一次。
Shweta Shrivastava: 是的,你应该的。
Lenny: Shweta,这太精彩了。我要开始收拾去凤凰城的行李了。我要把我的车卖掉。一切都要改变了。
Shweta Shrivastava: 这正是我们所期望的。
Lenny: 这就是你的关键绩效指标(KPI)。再次感谢你的到来。最后两个问题,如果人们想了解更多、联系你、也许问你一些问题,或者在你们招聘时申请加入 Waymo,可以在哪里找到你?听众们怎么能帮到你?
Shweta Shrivastava: 你可以在 LinkedIn 上找到我。然后如果你对 Waymo 的机会感兴趣,去 Waymo 的招聘网页。你应该能看到所有开放的职位。如果是产品管理岗位,你也可以在 LinkedIn 上联系我。听众们怎么能帮到我?我想说,嘿,报名在凤凰城或旧金山乘坐,等我们在洛杉矶开放时也去乘坐,给我们反馈。
Lenny: 太棒了。Shweta,再次感谢你的到来。
Shweta Shrivastava: 谢谢你。很高兴能有这次对话。
Lenny: 大家再见。非常感谢大家的收听。如果你觉得这很有价值,你可以在 Apple Podcast、Spotify 或你最喜欢的播客应用上订阅本节目。另外,请考虑给我们打分或留下评论,因为这真的能帮助其他听众找到这个播客。你可以在 lennyspodcast.com 找到往期所有节目或了解更多关于本节目的信息。下期见。
术语表
| 原文 | 中文 |
|---|---|
| Amazon Web Services | 亚马逊云科技 |
| Apple Podcast | Apple Podcast |
| Google Assistant | Google Assistant |
| Honey Code | Honey Code |
| KPI | 关键绩效指标(KPI) |
| Lenny | Lenny |
| MVP | 最小可行性产品(MVP) |
| Nauto | Nauto |
| rule of seven | “七次法则”(rule of seven) |
| Shweta Shrivastava | Shweta Shrivastava |
| Spotify | Spotify |
| Tesla | Tesla |
| Waymo | Waymo |
| Working Backwards | Working Backwards |
此文档由 AI 分片翻译(translate_long_document)