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The Lean Start Up For Business Analysts

Jun 16, 202329 min
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Episode description

Benjamen Walsh from The Better Business Analysis Institute talks about The Lean Start Up For Business Analysts. Written by Eric Ries.

The lean startup methodology emphasizes customer feedback over intuition and flexibility over planning. This methodology enables recovery from failures more often than traditional ways of product development.

Here are the key principles of the lean startup:

  • Build-Measure-Learn: This is the core feedback loop of the lean startup methodology. It involves building a minimum viable product (MVP), measuring how customers use it, and learning from the data to improve the product.
  • Validated learning: This is the process of using data to measure whether or not your hypotheses about your customers are correct. This allows you to make better decisions about how to develop your product and business model.
  • Pivot or persevere: Based on the learnings from the build-measure-learn loop, you may need to pivot your business model or persevere with your current approach.
  • Customer development: This is the process of understanding your customers and their needs. It involves talking to customers, conducting surveys, and running experiments.
  • Continuous improvement: The lean startup methodology is an iterative process. You should continuously improve your product and business model based on the feedback you receive from customers.

The lean startup methodology has been used by many successful companies, including Airbnb, Dropbox, and Stripe. It is a powerful tool that can help you build a successful business.

Here are some additional benefits of using the lean startup methodology:

  • Reduced risk: The lean startup methodology helps you reduce the risk of failure by allowing you to test your hypotheses and learn from your mistakes early on.
  • Increased speed to market: The lean startup methodology can help you get your product to market faster by allowing you to iterate on your product based on customer feedback.
  • Improved decision-making: The lean startup methodology helps you make better decisions about your business by providing you with data-driven insights into your customers and their needs.

If you are a startup founder or entrepreneur, the lean startup methodology is a valuable tool that can help you build a successful business.

Sure, here are some of the different types of MVPs covered in the lean startup:

  • Concierge MVP: This is a type of MVP where you provide a service to customers manually, instead of automating it. This can be a good way to test the demand for your product before you invest in building a full-featured product.
  • Wizard of Oz MVP: This is a type of MVP where you use automation to simulate a fully-functional product. This can be a good way to test the user experience of your product before you invest in building the full feature set.
  • Landing page MVP: This is a type of MVP where you create a landing page for your product and collect email addresses from potential customers. This can be a good way to gauge interest in your product before you invest in building it.
  • Minimum lovable product (MLP): This is a type of MVP that focuses on creating a product that is both functional and appealing to users. The goal of an MLP is to create a product that users love to use, even if it doesn't have all of the features that they would eventually want.
  • Minimum viable feature (MVF): This is a type of MVP that focuses on building a single, core feature of your product. The goal of an MVF is to get your product to market as quickly as possible and start collecting feedback from users.

The type of MVP that you choose will depend on your specific product and business goals. However, all MVPs share the same goal of helping you learn more about your customers and their needs so that you can build a product that they love.

Transcript

The Better Business analysis Institute presents the Better Business analysis podcast with Kingsman watch. Everybody and welcome back to the bitter, business analysis podcast with Benjamin Walsh. So this week, we're going to be focusing on one of those skills. That is not within the core repertoire of a standard be a but it is one of the skills you need to be a better business analyst.

And this skill is actually derived from a book that came out a few years ago, really in the product development space. It is a skill that it's evolved and has sparked a whole lot of businesses ways of thinking, and some techniques that we use as Bas from time to time. And it's really about getting something to your customers as fast as possible. She so you can get feedback. So it's around building, it's around measuring and it's about learning very He quickly so you

don't waste money. Now you could say, okay that's dead. Makes sense to me so far. And I'm, I'm holding back about the name of this product because as soon as you hear the second part of it, you might think that this technique only relates to Startup companies or small start-up companies that are developing products and I, that is where it's come from and a bit like how agile came out of

product development. However, this technique Technique can be used for any type of project and for any type of organization. And in some ways I think that enterprises need to embrace this way of thinking so they don't waste money and the technique. I'm talking about came from a book written by Eric Reeves quite a quite a while ago. Now, if you don't, if you haven't read it, go get yourself a copy of the Lean Startup, okay?

And so there might be some people they're going Lean Startup. Wow lane lane coming from the idea of manufacturing lean manufacturing lean development from the Toyota, you know, Carcassonne side of things and start up. Meaning that this technique was how Eric Reeves was discussing, how you could rapidly test an idea or Market generally in the it space and generally when you

didn't have much money. So the lien came in if you like Because this was this would be companies, which either self-funded or VC, using VC capital and every dollar matted now, for me, fundamentally and philosophy from kind of hard for loss of philosophy that I have, as I hate waste, I'm not necessarily someone who wants everything to be inefficient and unfun, but I just don't think there's any excuse for wasting I

wasting money. When you know that, Money can be used to provide better Services somewhere else and so when I think when you hear the word lean, this is a way in which all be a should operate. We should always our job is to make to produce value. And one of the ways we do that is through lean thinking, so we don't write 300-page specs, we do lean be a and we our job is to identify where in efficiencies exist within business processes.

So, We can improve them. So the Lean Startup is a really, really great mindset to put yourself in and if you haven't read it, go get yourself a copy. And I'm going to walk us through some of the main aspects of Lean Startup. And I'm going to talk about some of the techniques that have evolved out of that movement which still exists today and people still use this concept and it's been graded integrated into the kind of design thinking.

Being Lean Startup and agile approach that Gardener talked about quite a while ago. Now to and that relates to our model which is the people process Projects and product taking take the full P plus model which is an evolution of that little. Okay? So let's get started and I'll explain what the Lean Startup is about. So the Lean Startup primarily is around building something measuring and learning and

cycling around in that format. So that is the fundamental philosophy of Lean Startup. And the idea is that there's this feedback loop and it involves building and MVP a minimum viable product. It's a lot of people who don't understand what an EVP really is. I think the best definition, there are a lot of definitions. Best definition comes from The Lean Startup so if you want to have one definition that you can, you know, wave your flag

out. This is the definition you want the build measure, learn feedback. Back loop as wrap measuring how our customers use our product and losing learning from data to improve the product, right? And that doesn't mean once a product necessarily full and complete, it is just the idea of having that first increment out to the customer to get feedback as fast as possible with the premise of Not wasting any more money. So not going in the wrong direction or just not even

knowing. If your idea is desirable that, actually what you thought was a great idea actually isn't and it's very hard to measure that if you haven't actually demoed something, or actually really release something to a product to a customer such that they can use it. Not not. So you're testing. Team can use it. Not. So your mate, who always tells you, you've got a great idea can use it. Okay, this is around your

customers. And when you release a product to customers to people, you don't know who, you know, are not involved in, your are not necessarily there to support you emotionally or to, you know, to Pat you on the back because you've produced something that looks cool. Customers are people that are willing to pay for your product.

So therefore a customer is going to be much more critical and you know, Even know the extent of how a customer will use your product until you put it in their hands. And as you get more, and more customers using the product, you will find bugs in it. You will find things that you never never expect a customers to do with your product. It's quite interesting out in the natural environment.

Sometimes, people use whole products have been released to the market and have been used in a different way, then the vendor or the Ooh sir. Expected and you know, and that's where Innovation comes at. This is where the unexpected that's kind of learning what our customers use. Our product is quite interesting and some some well, no, and companies, you know, have have learned some amazing things from their customers and then they've Incorporated that back into their product.

Okay? So when we talk about the Lean Startup, I guess it's around developing businesses and products that I am to shorten the development lifecycle and rapidly discover of a proposed business model is viable, okay? And this is achieved by adopting a combination of what we call a business hypothesis-driven, experimentation.

Okay. So, it's basically hypothesis-driven or we create a hypothesis, which is the word we use in science, which says, we, I think that this is going to happen and we're going to go out and test that and we got to learn whether or not that's true or not and that might not just be customers, want our product but this feature is useful or this many customers will use this feature when we release it.

And so that's the idea, you don't know, if 100 customers, you know of your 200 customers, 50% 100 of them are going a little embrace, your new feature when you add it to your product, you don't know. That until you release it to Market. So you've got to have a really good idea about how you're going to measure that.

And so this is you know this is this is parsed Agile development as you may know about in terms of some of the organizations you work at here in New Zealand. This is around getting even features out there to Market. This is passed a be testing. This is knowing that that that feature you've added is actually usable and them so companies like I guess Spotify in some ways. I mean lots of says It's use this technique to get rapid feedback to turn off.

Features. Microsoft, does it all the time in terms of going? Oh, that didn't work or no one's using it. Let's turn it off. I mean, some of these things are invested in a little bit, some of them not. We're going to be talking about how those companies do that without investing a lot of money which is which is the other side of the Lean Startup that I think is really important. What we need to focus on when we do, Lean Startup is, we need to emphasize customer feedback.

Over intuition and flexibility over planning. Okay. So we got to be a little bit less rigid in the way in which we assume we've got the right answers. We should be we should be out of file and we should be out of fail fast and that's the idea we should be saying. Okay no that's not killer work that's far fast that saves US money. The idea of you know trying things quickly and in a very cheap way and if they fail we fail fast and we learn.

So we start to reduce the number of variables in terms of our guesses, our hypothesis until we find a hypothesis that actually proves to be true and then we go down that cycle. And that's just the I mean if you look at and science its natural Evolution, it sort of survival of the fittest of you like and and so it's allowing us to use that natural technique to be able to, you know, natural selection.

If you like to be able to to choose and focus our energy on the, I guess the pathway that is actually going to be the most successful. So we've talked about bold measure and learn that which is number one validated learning. So that's about using data to measure whether or not I'll pop the sis is correct or not and the our customers are telling us that while the data points from our customers are telling us that we're not just asking, was it cool we're saying or are they

using it? Are we watching? We're watching, we're observing whether or not they use it and they use it the way we thought. They were, they willing to pay

for that extra feature. Okay. And this helps not only does this help our product, but if we're a smaller company and I would argue this applies to all Enterprises within a product, sorry, within a project or program team, we know whether or not our by the business model or a project model or our Enterprise architecture or our business architecture is actually valid. Is that model actually true. Our assumptions, true you would have heard this word used a lot, which is Pivot.

I'm going to Pivot. I mean, there's lots of means about it and perfect. A bit. Okay, that's where this came from. So the word pivot was, if things are not working. We pivot to either a different different tests or we pivot completely to a different idea which is still under our company vision and Mission. So if we want to develop, we talked about a minivan that could drop people down at the

train station. And one example, one of our podcasts and for example we said, well, we you know, we haven't actually tested That year we don't know if it's desirable yet. So we're going to do a little in VP and we can use that as an example as we go through this.

Let's say for whatever test we did we've found out that people weren't willing to pay the cost that we needed to get in order to you know make it a sustainable and viable business in order to pick people up, they weren't willing to pay the $20

charge that we needed to to be able to bring in a profit. per customer per, you know, per per day for example per week and so we needed a pivot and so we realized okay a minivans not going to work, you know, maybe we do a bus and a bus or changed our cost model, we could pick up more people and maybe the $10 they're willing to to pay would be a different business model, because we've got a different cost structure there and we've changed, you know, the inputs and the processes we use in

because we're using a Buffs to pick people up and that's quite a different business model that's the idea of Pivoting. So we've pivoted, with NL, same Mission, our same kind of Target kind of state or problem. We're trying to solve that still the same, but we've pivoted how we're going to solve that problem. So that's permitting and then the other one is I guess we can. We could just preserve what we've done and say. We're going to preserve this where we've learnt that this B working.

This isn't so we're going to focus our attention on to on this area. So so I'll say that again. So, Say you've releasing the service we talked about with the van. You said, that's a really great idea, but actually, we can retain that whole business model, but it's not just the train station. People necessarily want to go to their want to go to the city. And so, we're preserving the business model, but we're changing some of the aspects of it. And that's, we're preserving that.

We've learned that a whole business model that actually viable. And the willing to pay for that service, but we're changing some of the parameters, that's preserving. The other the other thing is it's really important to learn how to serve a how to run experiments we talked about and how we need to observe our customers and that's something you learn through. Lean Startup it's really putting the customer in the center of

your development, literally. Okay. In some cases they are involved are the of course, the other part that I like about Lean Startup and joins, the world of internal, kind of Really internally focused what we used to call business Improvement. If you take the Lean Startup approach and start to bring it right to the customer and don't make it an operational problem and you actually incorporate it

up front. You actually have true custom, sorry, continuous Improvement because you're continually talking to your customer and feeding their into your kind of Enterprise and strategic planning. And Obviously into your product development. So for me that's where true continuous Improvement comes from is when you apply and Lean Startup approach.

Okay. So I guess the benefit is we were reducing risk here by not you know, by filing fast and learning which of our hypotheses are actually true. So we actually learn our data straight away. So actually more sure that the path that we getting down is true or is or at least know that the path that we thought about. About hitting down and got feedback on. That's it. At wasn't working very, very quickly meant that we weren't wasting our money on a bad idea.

So we're starting to like really tuned in on the right path and that actually reduces risk. So you could say this sounds really loose been how could we apply this to you know, program planning or business casing? This is actually statistically a better model for reducing risk and of course it the idea of using MVPs which we'll talk about soon.

Increases speed to Market, we gettin it, we gettin things to be getting a product to the market faster, so that we can actually start generating room profit, potentially and getting feedback well before. You know, we've spent six months in a dark room here and improves our decision-making by making sure that we've actually got data-driven insights from customers with measuring all of those.

So data is a huge part of this and having playing, you know, No data science to the data points that we need to capture from our customers AKA. I don't know, measuring their Mouse Clips on our website seeing if they're using the new menu and features we've got, you know, seeing whether or not that where they dropped off in the sales process to that it cart, or did they love the landing page?

But when they looked at the price, they dropped off a website that these are all the kind of data points that need to be really you know, measured front and center. We can start to measure therefore whether or not that new feature, the estimate the parameters around, it around price description, kind of experience or demo or you know, pictures or video describing service pop the customer off or

made them want to know more. We can measure, you know, the time they watch the video for, you know, whether or not this was something they added to their cart after That it is another product, was it, something we could upsell. So these are all know, this is all modern-day insights that we

using here. So that is, you know, that is all the Lean Startup. So if any of that interest you, if you can think of any of that and think I could apply that to my project today or to my organization, read The Lean Startup. Now, the other aspect of Lean Startup which it talks about, and that's kind of now the rule When it comes to projects and products is MVPs. And what we talked about in The Lean Startup is different types,

okay? And, and by defining these types of MVP and describing near these various, I guess variations of how you can test a product rapidly. So the MVP being the minimum viable product, meaning you can get to Market ASAP. When we in agile, we talk about it. As an increment. And so an MVP could be your first increment at the end of your first Sprint. How can you achieve the idea of a Indian product and only two weeks print, but that's what

agile talks about. So, when you delve deeper in terms of these types of in vp's, you can start to understand how you can apply these techniques in order to release something to your customers, very rapidly. Okay, so I'm going to describe these in vp's. One is kanji used in VP, This type of MVP is where you provide a service to a customer

manually. Okay. So the purpose of doing this not no automation, you're providing a service to the customer manually and I will say that you can Mash these MVPs up. So for example, your back-end could be manual and your front end could be a website or the other way around. You could have a person taking orders manually and then you're backing, could be automated. So you can match these up, they don't stand alone.

However, the idea of a conscious MVP, Is that as a good way to test the demand for your product before you're actually investing in building anything? If we were to take our example of the minivan driving around lower her up, you know, to pick up customers to drop them at the train station as we talked about in our last podcast. Well then what we could do is focus on just delivering the service AKA just have the van

driver driving around. And instead of building a whole web interface that has smarts like peak times and a schedule, we could simply just have a Number or you know, email address and say people email us and outpost it, you know, posters to and brochures to the local area. And the whole point is for us just to focus on whether or not there's any demand for the product.

So instead of building the whole interface which might actually cost money and you know, that's, you know, we might be a tech company. That's what our true product actually is, we could perform cons years in VP, which It means that we are actually manually scheduling were mentally calling our van driver. We manually manually notifying customers that the van is leaving. And, you know, to be at this location at this time and all the rest of it. So that's con Jewish.

The second MVP type is what we call Wizard of Oz. In. VP, this type of in VP is when we use automation to simulate a fully functioning product. So this is a good way of kind of having Magic or smoke and mirrors happening in the background. So we might automate something, which is only, you know it's not actually happening but the user feels like it's happening.

So in the example with our van, we might have a website that looks like it is automatically emailing back and forth and might even have a video of the van picking someone up, but it's all smoke and mirrors. It's not all connected. Third and a fully functioning product. So it's what we call Wizard of Oz, you know, there's stuff happening behind the curtain that you don't see that we are rapidly moving data from one system to the other, it's not

full. So we're only only exposing the front end of your like the interface. So it looks like it's automated and there might be semi and automation happening. The other MVP is a landing page in vp2 might simply just have a landing page and say, for example, coming soon or This product and might have description of what the product is. And again, I might have a video and I might just have a sign-up

page, so that's an MVP. This is a really good way of testing whether or not there's demands, its feels like it's all there. But actually you're not going to launch the product unless there's say 100 people that have pre-ordered this or suggested that they want to know more. There is actually other two. Other products is something called a minimum lovable product. And that, That focus is focuses on creating product, that is both functional and appealing to users.

So an MLP is a product that uses loved use even if it doesn't have all the features they want. So, this is about a fully, you know, a fully functioning product, for example, with our van service, but it might not. It might only just do it, might not have all the in features we want. So it might just have the, you know, Landing Age must have email and a might just pick people up and it may only work on a Tuesday because we can't afford to expand or scale to a

Wednesday, Thursday, just yet. But people are loving that Tuesday, pick-up day, so that's minimum lovable product and they love that and you can measure that by Customs coming back and paying for it and it being viable in terms of an organization. And then there's the idea of a minimum viable feature. And that's just means that there's a, the idea of focusing on a single A core feature of your product and releasing it straight away and getting

feedback straight away. So, that's quite interesting. And a lot of times that when we talk about MVP we're actually talking about an MV. If m. V, if being a minimum viable feature, okay, the development team and an agile environment have worked on one feature, one part, maybe the back end or the Middle where layer or the landing page or the, you know, that's actually fully functioning but it's, it's been chopped and a different way.

It's A full slice of the cake, it's just the topping and so that happens a lot. And it's kind of used as a replacement for every pain. It's not actually the case in BP being a full experience for a customer all the way showing the truth full service. Even if that true service is happening, manually behind the scenes or hasn't fully evolved yet or just simply a video of what the possibility could be.

So that's the idea of an BP. And I really hope that you've learned more about what that means and you now know what Lean Startup is the final. But I'm going to talk about here is something I use often in the be a world. You may have heard of the business model canvas, it's a great one pager that you can use to use internally. When you do strategic strategic analysis internal locking, you don't know what it is. Look it up business model canvas and when the Lean Startup Evolved.

There's actually a guy called Ash hope I get his last name,

right? It is a I'm pretty sure it's called miren, miren, ra and Asthma and Asthma and he runs a website, these days called lean stack, but he developed the lean canvas, and the lean canvas was integrating, The Lean Startup and using the business model canvas as As its kind of origin and its format a one pager and so you end up having what we call a lean canvas and you may have use those at your work except for people would really notorious using them.

So if you don't know what, I'll lean canvas has look it up the you may think they're fill-in left to right, you don't you start with your customers or your early adopters. They're people that are the people who are going to use your, you guarantee they're going to use your product or pretty much guarantee that you'll use your product.

If it's got any desirability, And then you've got your Target customers and you look at your problems you're solving and then the solutions to those problems and then the product and any against unique, value proposition that you've got, and any kind of special Advantage you've got and the existing Alternatives, the cost model Revenue model and then kind of your channels out to your customers. So, I've rapidly talked about that and it's something that you

really need visualize. I'm not going to spend too long. Long on the podcast about it, but I will have to check a link up on to our blog on the Better Business analysis website and so you'll be able to look at that and it's really fantastic if you're doing strategic sorry, Enterprise analysis, and helping your customers look externally by. Trying a new idea, a new feature, any of these things.

We talked about trying a new product taking your existing products and actually seeing whether or not, they're heading your Target customer. And having a conversation about who your Target customers are Because I will say that a lot of companies have no idea who their end Target customer is, or at least their personas and their customers segments. So Lean Startup, your action today is to go get yourself a copy either online, You Know, download the Epub for the book.

I've got the book at home and I have a copy that ePub which I constantly refer back to check out lean stack as well and you know Ash has there's a Very smart guy who's got other books around skating lane? We won't talk about that today. But if you're into business, the really great website to check out and Eric Reeves is the man. And that's all we've got time for today, so I'll catch you next time.

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