Outcome-based leadership is everywhere in theory. In practice, it often collapses into two familiar traps: goals become tasks, or goals become top-down control.
In this episode, I sat down with Tim Beattie and Bella Bardswell, co-founders of Stellafai, about what it actually takes to build an outcome-focused culture that improves collaboration, increases autonomy, and keeps teams aligned without crushing initiative.
Their perspective is shaped by decades of experience in consulting and transformation — and by the reality of building a product company from scratch.
In this episode, we discuss
- •When OKRs trigger people, it is usually not about OKRs — it's MBO trauma in disguise.
- •Change the language if it blocks adoption — keep the mindset: outcomes, evidence, experiments, rhythm.
- •Collaboration first, frameworks second — get people in a room, argue about the words, build shared understanding.
- •Why impact mapping makes outcome conversations real — actors, behaviors, impacts, goals.
- •The hidden cost of growth: communication complexity explodes between 20 and 50 people.
- •Outcome rituals beat glossy strategy launches — small recurring check-ins keep goals alive.
- •AI as an extra team member, not a replacement — Armstrong nudges, suggests, and keeps the conversation human.
- •Inclusion is a built-in practice, not a retrofit — values, hiring, facilitation, daily habits.
- •Three closing moves for emerging leaders: collaborate, prioritize outcomes, make it enjoyable.

References mentioned in the episode
- Stellafai
- Tim Beattie on LinkedIn
- Bella Bardswell on LinkedIn
- Measure What Matters — John Doerr
- Radical Focus — Christina Wodtke
- Impact Mapping — Gojko Adzic
- Radical Product Thinking — Radhika Dutt
Transcript
Alexis:
Welcome to Le Podcast on Emerging Leadership. I'm your host, Alexis Monville. Today, we are thrilled to have Tim Beattie and Bella Bardswell, the co-founders of Stellafai, a company pioneering in outcome-focused approaches to team collaboration and leadership in the tech industry. Tim, with his deep expertise in agile and lean methodologies, and Bella, known for her transformative work in cultural change, bring a unique perspective to the table. We'll explore their journey in co-founding Stellafai, the challenges and triumphs of emerging leadership, and their innovative strategies in the tech world. Welcome to the podcast on emerging leadership. Could you each share a bit about yourself and what led you to co-found Stellafai? Maybe Tim, you want to start?
Tim:
Yeah, sure. Thanks Alexis. Thank you for having us on your podcast. My name's Tim Beattie. I spent the majority of my career working in consulting — large consulting organizations including PwC, IBM, Deloitte, and a couple of smaller boutique consulting organizations. So I've always worked in the world of services and delivering professional services to clients. Most recently I worked for Red Hat where I met you, Alexis. I was responsible for a part of Red Hat called Open Innovation Labs. Open Innovation Labs was a slightly different services model in that the focus was all around enablement. It was all about enabling customer teams to get the very best out of, in this case, Red Hat technology. The focus on successful enablement was all about ways of working, about culture, practices, mindset, a little bit about the technology — but technology is sometimes the easier part. It's more about the ways of working around the technology.
My time at Red Hat was very rewarding. I loved learning more about open source and open organizations and it felt like a really good blend to the work that I love and I'm passionate about, which is all about business agility and lean and agile and frameworks like that. So I spent five years really switching away from being a delivery consultant into an enablement consultant. And that I found very rewarding. I look back on the teams that I helped kickstart, the organizations that I helped transform. Once I got a bite for that, that felt like, this is the kind of world I want to live in. This is the kind of career I want to continue.
So I co-founded Stellafai with Bella a little under two years ago. Again, that was building upon this idea of enablement. It was about how can we help organizations really achieve their measurable outcomes. We had some great ideas when we paired up — some software that could help with that, an alternative model to coaching in a more asynchronous, contextual way. And we wanted to leverage the work that we'd done in our previous 20 to 25 years. So we brought all of that together to form Stellafai. I think we've come up with something really exciting and I love being a part of it.
Alexis:
Excellent. Thank you Tim. And I still remember the first time I really met you in person. That was, I believe, at Agile New England, in Boston. You showcased what was happening in an Open Innovation Labs residency — you showcased in a one-hour-long session what was happening in a whole week of engagement and even more than a week. So that was really a lot of fun. But before I recall my memories — maybe Bella, you want to say a few words about yourself.
Bella:
Yes. So my background, on a quick glance, looks quite similar to Tim, but we've actually had very different experiences, which I think is why our partnership works so well. We were able to bring that together with enough common ground that took us in a shared direction and vision.
Most of my career was in IBM — big, big digital transformation programs, and I've done most roles along that journey. So business analysis, business architecture, change management, business change program management, then the leadership and sales elements. The thread that's gone through all of that is I did a lot of work in government, and the thing that I didn't realize at the time that made me love that so much is that real clarity over why it mattered. You were building software, but you knew why, what the reason you were doing that for. And it was really tangible and it mattered, and that was really, really motivating. Then while I was at IBM I became familiar with Agile and that amplifies that — what's the value of what you're doing, what's the why? But I often found that people were somehow managing not to do that.
Then I went from IBM to Google. At Google many people know they're really, really into this framework, OKRs — objectives and key results. That's really about having a very, very clear why and then a way of measuring if you're getting there. There are lots of different goal-setting methodologies and they all talk about measurement, but very, very often no one does it. Their goal is actually a task. I started to realize I'd built up these skills and these insights, but all I could ever do was help the client I was with. I was really inspired by what Tim was doing at Red Hat with Open Innovation Labs. When we talked about it, the idea of using software to be able to scale us and our experience and what models could we use — like Tim mentioned, the asynchronous model, but also bringing in AI, just generally technology making less admin and more visibility easier. I was thinking, this is a way that we could start to scale ourselves and help profoundly more people. So that was really the vision: helping get the power of the why, but also using tech and different ways of thinking to help many more people get the benefit of that way of working — the brilliance of understanding why you are there and why what you're doing matters. And then if you track things, you're more likely to get there. So the real buzz of actually achieving what you set out to is something that we wanted to help more people do.
Alexis:
Yeah, I really love it because then it gives us a sense of why you are doing it and not really how you are doing it. There's some mystery about that I really like. And of course on the podcast, I had the pleasure to welcome a lot of different people, and some of them talk about OKRs. There was Christina Wodtke, the author of Radical Focus, for example, or Gojko Adzic, who wrote Impact Mapping. We had a discussion about OKRs. That's because of him that I had a short video on OKRs and impact mapping. We discussed it, and I explained to Gojko, ah, that's how I'm defining OKRs. He looked at me and said, no, explain that to me, because I don't understand what you say. I said, you are the author of Impact Mapping, you inspire me to do that. And he said, no, no. Explain that to me. And I explained it to him. He said, can you record a short video? I would like to share that with my partner because we never thought of it this way. For me it was so obvious that, that was really funny to connect the two.
One of the guests I welcomed on the podcast — I prompted her to speak about OKRs because I was all excited about it. And my surprise was she was very against OKRs. That person is Radhika Dutt, the author of the book Radical Product Thinking, a book I really like. When she spoke about OKRs, she said, oh, it's setting big lofty goals, it's not collaborative enough, it's more like an end-of-year exam that you pass or fail, and you don't even test if the strategy really works. I was listening to that and saying, no, no. So tell me — what would you answer to Radhika about OKRs?
Bella:
Something that Tim and I — and we get this a lot — so OKRs, just like Scrum actually, we've noticed a lot of parallels. You get a big framework, someone writes a book like Measure What Matters or Radical Focus with Christina Wodtke, and suddenly you get the lovers and the haters. It feels like you have to pick a side, but actually I think all these frameworks have elements that are valuable and then elements that you have to go, that's not gonna work in our culture for where we're at, let's think about what will work.
One of the patterns we've seen come up a lot with OKRs is people's perception of OKRs is actually much more like what happened in the sixties with management by objectives — Peter Drucker, and then Andy Grove adapted them to OKRs. But a lot of people go back to the principles of MBOs. That means your managers tell you what your goals are. The word cascade is used a lot. Top-down. You have to achieve a hundred percent and it's linked to comp, and that has all sorts of unintended consequences. If you're not involved in figuring out what you're going to do, you're not committed, you're not engaged, you don't have a say. If you set a hundred percent goal, it creates pressure. There's no space for experimentation. It's stressful. And if you link it directly to compensation, you immediately eliminate the desire for anybody to collaborate or to do anything but just to try and focus on what they need to do to get paid. That's extremely damaging to culture. All of those things are the exact opposite thing that you want to have if you wanna build great products.
So I think OKRs are often done that way. Someone reads a book, a manager reads a book, goes, right, OK, it's gonna take too long to do lots of collaborative workshops, so I'm just gonna, for the first time, just write them and give them to them. And then I'm not gonna think about how we'll embed this idea of thinking around outcomes into my organization. We're not gonna use this as a way to communicate understanding and to track progress and to decide what we should do. We're just gonna shove it in, step back and expect everyone to deliver the goals. And yeah, that doesn't work.
Elements of that happen in pretty much all the implementations Tim and I have seen in the work we've done. You don't have to use OKRs — you can just take this concept of setting a goal, being clear about the outcome you're trying to achieve, and then figuring out how you're gonna measure whether you're getting there. Coming back to impact mapping, which is a great way to measure the impact of what you're doing rather than just ticking off tasks, which may or may not help you get there. So I've drunk the Kool-Aid — I think done well, they're brilliant. But they're often not done well. Often people put a lot of effort up front and then we call it set and forget — they never go back to it. They don't think about how to build it into how they operate. It's as much a way of working and a culture and a mindset as it is a framework. The framework's pretty skinny.
A lot of people that have negative feelings towards OKRs based on experiences they have are entirely justified. But often I think it's still worth taking a look and exploring what happened in the past and whether some tweaks could be made where you could get this really incredible power of everyone understanding what you're trying to do, caring about it, being focused, aligned, and then tracking progress together. When done well, it's phenomenal.
Tim:
Your experience, Alexis, with that lady reminded me of something that happened probably about a year ago. I was doing some beta testing of the platform we built and I had some time with a CTO. The CTO looked at it and said, Tim, I can never show this to my CEO because he hates OKRs. He got burnt by them badly, tried them in a previous company and he's just an anti-OKR. Your platform's got objectives and key results. We tried a little experiment — we built a little feature, only took a day or two to build, where we could customize on a per-user basis some of the terminology and the naming. For his space alone, we changed it so that instead of creating objectives, he was creating goals. Instead of creating key results, he was creating measures. Instead of adding the activities or tasks, he was writing about experiments. I showed him and he goes, oh, my CEO's gonna love this — the goals, experiments, and measures. He'll really get that.
The interesting thing was our mindset, what's under the hood, hadn't changed. We were still thinking about: what is the problem we are trying to solve? What is the opportunity we're trying to grab? What are the pain points and how can we articulate that in a really well-aligned and shared view — a goal statement or objective statement, a SMART goal. There's lots of different ways you could do it, but in essence that's what we were trying to do. Then we were trying to come up with a series of qualitative measures — needles that we could see move that were going to tell us if we were making progress or not. And we were going to encourage the idea of trying different things out, designing experiments to see if the needle would move or not.
Whether we call them — to me, we were still doing OKRs. But I could hear that there was a negative perception to OKRs, and it's a little bit of consulting 101 here: when you go out and you consult with a client, you've got to meet them on the language that they're comfortable with. If there is language which is triggering some real negative emotion, it's OK to change that. What's not OK is to change the mindset that we know is going to promote success and deliver success. So it's a very interesting one — and just as Bella says, we've seen it with many things over the years, with Agile, with DevOps, with design thinking, with lean. Anything that goes mainstream starts to get that Marmite love-hate relationship. Therefore we tread carefully with what's the best way to introduce that under change management to organizations.
Alexis:
That's a very good point. So the language can influence the perception. We can change the language but maintain the culture or the mindset that we want to have about the collaborative aspect of it. You both mentioned that top-down effect of, I'm setting goals — not saying we will forget about them, but if it's not integrated in our way of working, we'll definitely forget. What do you want to say about that collaborative aspect? You worked in Agile and lean, you have extensive experience on those topics. So I'm interested in how we can get people to be more autonomous, more independent, more able to take matters in their own hands — basically make leadership emerge in the organization. So I'm interested in what you have to say about that collaborative aspect.
Tim:
For me, this is all about collaboration. Collaboration is the number one focus. Whenever I'm doing coaching, what am I trying to do? I'm trying to get people to talk to each other. I'm trying to get technical people to collaborate with other technical people. I'm trying to get business people to collaborate with technical people. I'm trying to get users to collaborate, and I'm trying to get shared understanding and alignment. For me the best way to achieve the best collaboration is in a room. It is bringing the energy, the physical energy together — the room, the walls, the sticky notes, the visualization. I feel it sets us up. It gives us the best chance for success.
So to kickstart collaboration, getting people physically together, and reaching a point where everybody has really got that feeling of, yes, that's what we're trying, that's why we're here, that's what we're focusing on, that's what we're trying to achieve — almost with our arms around each other, feeling passionate about that. I think there's a lot of excellent practices that really facilitate collaboration, facilitate conversation. You mentioned impact mapping. That's why I love creating OKRs through impact mapping — because just the act of getting people to write a goal statement and align on it and argue about it and challenge it and change, swap one word out for another word, that's all collaboration. It's achieving shared understanding and alignment, agreeing the actors and what we call those people, what do we call our users — there's lots of different types of users. That conversation is collaboration: the measurable impacts, and actually what we're doing there, we are building OKRs. We don't realize we're doing it, but we are coming up with an aligned goal and we're coming up with a well-thought-out, measurable impact that we're trying to help to get us towards that goal. But we're doing it through conversation and visualization and energy. To me, starting these in the room is just such a key foundational ingredient.
Then I think it's how do we maintain, how do we not lose that? And that's where the emerging leadership you talk about, Alexis, comes in. It's very much a diverge–converge. Can we go away separately, autonomously? Can we come back at regular points to synchronize and bring that challenge back together? Can we get access to the right level of support, where it isn't someone doing the work for you but enabling you and just challenging you to think? So I think it's putting that environment in place — that's what promotes that kind of continuous improvement and evolving leadership so that there is a self-controlling, self-management aspect to all of these things.
Bella:
I personally think that the most important thing that goals do is enable conversations, and that is communication. I've just got so many stories, and everyone I speak to sort of nods slightly when I say this, but we've all been to those start-of-the-year kickoffs where all the leadership spent weeks, months figuring out strategy, and then there's this big launch of your strategy and there's glossy presentations and oh, this is gonna make such a huge difference, and it's all nice — maybe there's some wine if you are lucky enough to work in that kind of company. And then after you leave there, it's very nice seeing everyone, you go back and you just carry on doing exactly what you were doing before.
That is an example of a strategy which is not going to be executed anytime soon, perhaps ever. That's crappy communications. It's the message received and the action that's taken off the back of it, not the one delivered. We've got to get better at finding ways for people actually to receive the message well enough that they can understand and apply it to the work they do. Strategy execution is a huge challenge for all leaders and every leader should be worried about that.
Writing some really crisp, clear goals that break that down and can then be decomposed through the organization, all aligning, can give you a pathway right down to every single person on every keyboard working in alignment to achieve the goal. And if they then every week have a little conversation about how they are doing against their goals, that keeps that goal front of mind. That big presentation disappears quickly from your mind. If you are looking at the measures every week, that's keeping it front of mind, and then you have a conversation like, we're on track — brilliant, what was going well? Or, we're not on track, what do we need to change up? You are empowering people: you know what you need to do, I trust you, go do it, let me know if you need me to unblock something or help you. That's incredibly powerful.
But the other thing you're empowering people to do is to say, this has nothing to do with what we're trying to achieve. I understand what we're trying to achieve, I think we should maybe talk about whether we should stop that. The amount of waste of pet projects and work which has drifted from the mission and no one realized because the comms weren't there is huge. So that empowerment and communication combination can make a huge difference to, first of all, business success, but perhaps more importantly, all of our ability to feel connected to purpose and actually deliver something that matters.
Alexis:
Focus on outcomes — I saw that a lot in your communication. There's also that thing about AI, and I'm a bit curious about that, because we spoke about communication between people, empowering people, getting people in the room, getting them really aligned, really get to that shared understanding. What does AI have to do with that?
Tim:
Let me tell you the story about why we put AI in at the end of our company name. We were drawn to the word stellify, S-T-E-L-L-I-F-Y, which means turn into a star or place amongst the stars. There was a lot of thought behind that because we thought about outcomes in organizations as connected, particularly measurable outcomes. If you've got a platform engineering team working towards measurable outcomes, they've got these little needles which should start to move, and if they are moving it's connected to maybe some product teams and their needles can start to move quicker because of that connection. And if that's successful, then it's helping a business line and it's helping them achieve their measurable outcomes, and that's helping the strategy. So we're joining the dots. We're forming this idea of a constellation of stars where there's lines, and what we want is really bright stars and really bright constellation lines because of those connected outcomes. We want to be able to zoom into those stars and understand what the energy is.
When we looked into trademarks and domain names, of course the guy who had stellify.com wanted a hundred grand for it. So we did what every startup did and we invented a word. We liked Stellar because we want everyone to be stellar — our people to be stellar and our customers to be stellar. We still liked stellify, and then AI — we thought, well, AI's coming and I'm sure AI will filter into our company at some point. We actually didn't plan for it at the beginning, but we put it in.
Then of course about a year ago, the world went AI mad and everybody was doing ChatGPT and Bard and OpenAI. So we invested a sprint — one week, November before last. One of our guys did a little spike, a bit of a prototype, just to see how this AI could help us. We have some strong beliefs: we don't want the AI to replace coaches, we don't want the AI to replace conversation, collaboration. What we want the AI to do is to help that. We'd liken our AI, which we call Armstrong — named after Neil Armstrong — to be like the extra team member. Think about the team members who's just always great at throwing out ideas, suggestions, just gets people talking. When you're drawing a blank and you can't think, oh, let's get some ideas — and there's always that one person who's just really good at getting the troops talking and throwing some ideas out on the wall, and then everybody starts talking. That's what AI can do.
We've built things like, hey Armstrong, can you suggest some ways to measure, provide measurements against this goal, or key results against the objective? And Armstrong won't do that for you, but it'll get you going. It'll throw out ten ideas and people are, oh, OK — oh, that's what a key result is. Oh, let's tick those two and now let's talk about those and let's dive deeper. Or, hey Armstrong, we've got this key result, but are there some open practices that might help? We've trained Armstrong on the open practice library, a great open source repository, and it will give you three ideas. You can take it or leave it, but hopefully it just elevates you that little bit more. This is where Armstrong can help — it can just get you going in the right direction. We don't think individuals — we think teams — should use AI in their conversations. Let's see what Armstrong thinks and see if Armstrong can get us going in the right direction, and hopefully you'll get a better collaboration thanks to the training that we've been able to give to our AI.
Bella:
It's become a little bit of a catchphrase, hasn't it — like, AI won't replace humans, but humans that use AI will replace humans that don't. That's the exact approach we've taken. Tim was talking about it's not gonna replace real coaches' insights, that level of context — not for a while anyway, we need generalized AI for that. But certainly there are all sorts of ways. Tim's given a few examples. There's a heap. We've been looking at research grants and things to go a whole load deeper about some really, really fascinating front-edge stuff that could start to really help teams communicate and collaborate at another level with just nudges and assistance and help. So I'm very, very excited about how it can help all the people that we're working with, but also just help us be more efficient and do a better job. It's an exciting technological frontier we're at, I think.
Alexis:
I really love that. I'll tell you a story about what happens when a team of developers really work on that. I'm working with a team of developers — basically I'm coaching the manager of the team. We discussed their new goals because they are really shifting where they are going with their product. It's very challenging for the product, very challenging for the team, and also challenging for the people themselves because they will need to grow new skills, do things they never did. They are really experienced developers. I'm discussing both the goals for the product and the developmental aspects for each individual. I'm telling the manager, you should have really career conversations with all of them so they can really think, at a time period that fits them — five years, ten years, twenty years, we don't really care — where they want to work, what kind of jobs they want to do, what kind of size of company. He's really excited about it and discussed it with the first developer.
The result was really interesting because the developer came back and said, listen, that was a fantastic conversation, I loved it, and look at that — I created a series of prompts because your questions were really good. Now everybody in the team can do that following that series of prompts. And I looked at it and said, yeah, of course, they are developers, they know how to talk to a machine. He created really good prompts and tested it and they all worked on that. The manager told me that was very funny — I'm chatting with one and then the ten others are doing that work, and now the conversations I have with them are really fantastic because they have really inspiring things to say. So I can see how, considering Armstrong as another team member that has more experience and more knowledge, could be really inspiring for other team members and really enabling them to go further. That's a very nice way to integrate AI in that context of aligning, getting people to really collaborate effectively.
Bella:
Yeah, that's one of the things we looked into — again in relation to the grants — could you have an AI coach facilitate through a check-in meeting? Because something we've noticed, a real anti-pattern that seems to happen a lot, is check-in meetings become a group exercise where everyone watches everyone else update the numbers. It's like, yeah, but you could do that beforehand. The bit that counts is the so-what — what does that mean, and the discussion. Could you, without the need to have a human (which is obviously expensive — you have to book the human and arrange it all, there's logistics) — could you have something that's just nudging you through the conversation? And then the brilliant thing is it can then learn and respond depending on what it is. It's not straightforward, but there are some things which could hugely increase the quality and the outcomes that come just from a simple half-hour meeting. But not just that — afterwards, you've just had an AI listen to everything that happened. What was the subtext of that meeting? Were there any dynamics? Were certain people doing certain things they didn't realize were having an impact because they were focused on the content? All that kind of stuff can be surfaced as insights afterwards. This is where the coaching comes in, with some suggestions about what you could do to fix it. These are complex things to do, but I think they're not out of reach with AI, and the benefit could be enormous. So exciting.
Alexis:
Excellent. So a question that I usually ask to all the people who are building a product for others — do you use Stellafai to build Stellafai?
Tim:
Absolutely. Absolutely. We learn so much from adopting it ourselves. We are our own alpha testers — not just Stellafai, but OKRs. In all honesty, I have not used OKRs brilliantly before Stellafai. I loved the idea of them, I love the principle of them. But like many other people, I have not seen them work terribly well even when I tried them at previous organizations. I know why now — I've learned a lot from Bella, who brought all of the goodness from Google. I can see the mistakes we were making, but the best way to learn is to do it on your own content.
As an example, we have a weekly check-in. It happens at 10 o'clock every Thursday morning. Honestly, if we don't do the check-in on a Thursday morning at 10 o'clock, it feels like I haven't brushed my teeth. It's become a ritual. We've done it since the beginning of the company and we've evolved. Yes, we use our platform. We review our key results. We update them. We have a conversation. But as Bella was saying in the last question, we've learned actually, why are we wasting time in this precious time together as a team? We've only got 25 minutes. Why are we spending time trying to figure out the calculations and get the numbers right? We've emerged from that, and we now enter before that meeting — and actually something I've noticed in the last few months is that the updates are happening during the week. Because we have a Slack integration, we can see when anybody updates a key result or makes a comment, it fires out a message to the team. I think this is a transition we've gone through — that we're now starting to think about what is the measure that we're trying to move today. When something happens that we know it's moved one of our measures, the first thing we wanna do is go and update it. So it's become less of a batch thing that we do once a week or a ritual, and into a continuous thing that is just a part of our cognitive way of working.
I see this with other practices. It's like going from fortnightly retrospectives to a real-time retrospective — why are we waiting two weeks to do a retrospective when we could just have a real-time one running all the time? Or abandoning the daily standup because there's such good collaborations, pairing and mobbing, you don't need to stand up. We've used OKRs with the ritual, with the guardrails, and now we've been using them for a couple of years, I'm now seeing the team naturally thinking about what's the key result that I'm going to move today, and how is that gonna help achieve a goal, and what's that goal connected to in terms of a bigger strategy? That's just becoming a part of default.
Bella:
What you're describing — and it's really interesting listening to you say this because we haven't had this conversation — is like another level of outcome obsession. It's driving everything, every micro-decision all the time. Is that gonna move one of our needles? And yet, if you've got the needles right — which is why you need to put effort into setting them — that's where the magic is.
Tim:
We got them wrong at first. Remember our first quarter — we got them wrong. So we've come through that journey as well.
Bella:
Well, part of that is we were new founders, so we didn't know what we should and shouldn't be doing — which is a whole other podcast. But we've got so much better at figuring out what are the right OKRs for us. One of the things we've had from a lot of organizations is, we're too small for OKRs, it's not gonna be valuable for us. It is true that you get to a certain size — and we reckon it's about 20 to 50, depending on the org from the people we've spoken to — you get a level of communication complexity with all the interconnections. It grows exponentially that suddenly you need a system to help you operate and stay aligned and communicate. One of those systems could be OKRs, but it doesn't mean that it's not profoundly valuable at a smaller scale — it's just that it's not critically needed to make sure you are still able to keep moving forward. So yeah, we 100% use them.
Alexis:
That aspect of complexity that comes with adding people to the team — that usually we completely ignore. It's very funny that suddenly people are highly frustrated because that doesn't work anymore. When you look at it from the outside and you've lived it before, it's so obvious. I was discussing with the founder of a company and he told me, I don't understand why — we just have two more people on the team and suddenly it seems nobody understands anything anymore and nothing changed. I told them, yeah, OK, good. Let's look at that. Nothing changed. And they added the two people, but they took also another office because, of course, two people in that previous office didn't fit. So now they are spread into two offices. Look — that's so… before it was annoying because developers needed to work close to people who were on the phone calling customers, and that was very annoying, and now you split them in two rooms, and you are surprised. Of course I cannot say it this way — I'm more gentle and I'm making it emerge more gently to avoid being thrown out of the window. But that's very interesting to look at. Putting in place a system that will enable people to do great work is really important. And what I like is you really thought that through — and using it yourself makes it better.
I would like to touch on something slightly different. I've noticed you both have a strong commitment to diversity and inclusion, and I would like to know how it shapes the culture and maybe even the strategic direction of your company.
Tim:
In our company we felt there are some principles that we have to start from the outset because it's not something you can retrofit in later. Diversity and inclusion is something we were both passionate about. From the work that Bella did at IBM, where we first met, I knew that this was going to be a really strong partnership in that — it was something that she would really drive and that's really important. That was important for me when I was seeking a co-founder.
We probably spent about four months before we even hired anyone to write code or build product. A lot of that was about finding our why and our purpose. We used practices on ourselves like business model canvases — again, just to trigger the conversation and to get the alignment. From early on around diversity and inclusion and also sustainability — you'll notice in pictures of us, we have a lot of our own swag, our own t-shirts and hoodies. Our suppliers that we used had good sustainability metrics, because we thought we could play the card that we are an early startup, we don't have much money, let's just go for the cheapest thing possible — but we thought that's gonna be so hard to turn out. It's something we believe in. If you don't follow your principles and your values from up front, you're lying to yourself.
A lot of that comes around alignment, shared understanding, communication, collaboration about what those principles are, and then figuring out what are the initiatives, what are the acts that we can put in place. We've started — I think there's probably more, like everyone, that you're never done with these things — but we started, and it's something that you can continuously improve and continuously evolve in the next chapters and the next version of the company.
Bella:
When we did our first sort of recruitment campaign — campaign might be too big a word, we're only little — but one of the first things… So Tim and I do both care about this. The very first version of our website had four pages, and one of those pages was a diversity statement, just setting out our intent.
I was really interested when we put our first ad out. We were looking for a junior designer. All these things are benchmarked around how many responses you typically get of certain underrepresented groups in the applications. We got so many people that I spoke to often — women, people that had a slightly different educational background. We asked them to write just an answer to two or three questions around what attracted them to Stellafai, and I'd say every single person that wasn't like a young white male came back saying, it was really cool to see the diversity statement that attracted me to your company. It's a self-fulfilling prophecy. If you care about it, you'll attract people that care about it, and then you'll create a more diverse and inclusive culture. Exactly what Tim was saying — you have to do it from the get-go. And we did.
Then it's also not just saying it, it's doing it. There's an awful lot of pride-washing in pride month, where companies change their logos to pride, but if you look at the things they actually do, it's the very minimum they can get away with. Their actions do not suggest they care — their actions suggest they want to cash in on looking like they care. Now, that's not all companies, but you have to actually then do it in the organization. The other thing — Tim and I are really lucky, the experiences we've had and things like the open practice library, design thinking, etc. — so many of them are things that help give everyone a voice in a non-threatening way. Dot voting, 1-2-4-All — these are all things that help give everyone a voice. So it's how you operate and how you work. That's expanded out to our customers and our clients as well. We talk to them about: if you want people to be engaged, you need to make them feel like they have a voice and included, and this extends to the role you are doing as well as some of the more traditional DEI ERG (employee resource group) things.
We've tried to not only do it — we're a small company and Tim and I are pretty experienced, but we're always learning — but we've tried to do all of those things, make sure that everyone has a voice. We have lots of forums where we listen to that. But also in the work we've done externally, we try and reinforce those values and those principles in how we run our workshops and how we advise and coach people and explain why. The business case for inclusivity and trying to bring in a diversity of voices is a no-brainer. But sometimes people don't know how to make that transition — they don't realize it's everyone's responsibility in how you operate every day, not just the HR group in your organization. We've seen the benefit of that in terms of the talent we've had into the organization and the diversity of people. We have 50/50 male/female, etc. We've also tried to take that out and be ambassadors for those ways of working. It's very cool to have a partner like Tim to do that with.
Alexis:
I love it. People will not see that because there's no video, but I was smiling and nodding as you were talking, because I believe it's very inspiring and you gave really the right things to inspire leaders to really do something about what they can control and to make it happen. To close the session, what advice would you give to new leaders or aspiring leaders?
Tim:
Yeah, wow. I would say simply: collaborate. Get your people together. Ideally get your people into a room and get them talking. That builds on several answers we've talked about today, but it's: let's get everybody talking to each other. You've got something in common — you all work for the same organization, you are hopefully working towards a common mission. And if you're not, by getting people talking, getting people communicating and collaborating, you will start to align. You will start to get a shared view. You'll start to identify where those slight nuggets of misunderstanding are happening. That's the starting point — just getting people to talk to each other. Then I would go a level deeper about, well, what are we trying to do, why are we here, what are we gonna tackle, how are we gonna prioritize, let's measure. That can come all afterwards. But unless people are comfortable talking to each other, collaborating, challenging, ideating, building upon each other — that is the foundation for success. So whatever it takes to get those people into a room — good facilitation, good setup, good planning to put that environment in place to facilitate collaboration — that's what leaders should focus on doing right now at the beginning of the new year.
Bella:
Predictably: write some OKRs. Actually, let me rephrase that. Think about what outcomes you most want to achieve, and narrow down that list. Warren Buffett gives the advice — he says, write your to-do list, and then scratch out everything that's below number three. Same thing — lots of people say it in different ways, but you've gotta prioritize because you can't do it all. So prioritize, but make it measurable.
The biggest mistake I made when I first started moving into leadership roles is I tried to carry on doing everything that I'd been doing before and then take on all the extra. That just ended up with me being on this very fast-moving hamster wheel. It's not a good place to have great insights and to be a good patient listening leader. You've got to trust people to take things off you and to create time for you to reflect and think. Part of that reflection is figuring out what the priorities are and then making sure, to Tim's point, that you are communicating and collaborating well to deliver them.
And then the last thing — I think this is, you spend a lot of time at work, you've gotta make it fun. Find ways to enjoy yourself, to have a laugh. In Stellafai, on the Friday standup, we always pick a random filter on these Google filters, so we all turn up as pirates and cowboys and astronauts floating in space. It's a silly little thing, but find ways to make it fun. If you're clear why you're collaborating, and you're feeling engaged and connected, and then you are having fun as you do it — the difference that makes to our working lives is pretty phenomenal. So: set OKRs, find time to reflect and stand still and lead, and have fun.
Alexis:
I love it. Thank you to both of you for having joined the podcast today. Have a great one.
Bella:
Thank you very much. It was great to do it. Thanks, Alexis.

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