While scrum and XP were transforming the software development industry, there were another set of ideas (derived from lean manufacturing and Six Sigma) that started to influence software development methods. These ideas around Lean Software Development forms the foundation of number of agile methods. In this course, we will explore lean concepts and cover some of the common Lean methods and techniques like Kanban, Value Stream Mapping, etc. In this course, we will also learn techniques like Lean Startup and Design Thinking that can help team learn about user and market needs much faster and cheaper. As part of this course, you will also apply the knowledge gained in this course to fictional case studies. These projects will help you gain experience to confidently apply these techniques in real world. At the end of the course, you will be able to apply lean techniques / methods to software development. You will also be able to apply methods to learn about your users and market needs much faster and cheaper.
Lean Startup (validated Learning and Build-measure-learn)
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Del curso dictado por University of Minnesota
Lean Software Development
17 calificaciones
University of Minnesota
17 calificaciones
Curso 3 de 4 en SpecializationSoftware Development Lifecycle
De la lección
Lean Startup
In this lesson we will learn techniques like Lean Startup and Design Thinking that can help your team learn about user and market needs much faster.
Conoce a los instructores
Praveen MittalAdjunct Professor
College of Science and Engineering
In this video, we are going to learn about a concept called
Lean Startup and it provides a very unique approach to software development.
The basic idea behind this approach is hoping you
learn faster about your market or your user need.
A lot of software development models are there,
they are quite a bit mostly focused on the delivery of the software.
This model actually focuses a lot on understanding or fast learning about real user need.
Let's see what it looks like.
The Lean Startup model or
Lean Startup concept was made popular by Eric Ries with his book,
The Lean Startup and primarily,
it was geared towards the start up companies,
but now it has been used by a lot of industry,
at least the concept is very popular in the software industry.
As you can see,
the model is very straightforward.
It's a cycle of build, measure,
learn, and then again,
keep doing this cycle.
That's the basic idea behind the software development,
but there are a couple concepts that makes it really powerful.
The first one is how Eric Ries says about validated learning.
Here is what Eric says,
"We must learn what customers really want,
not what they say they want,
or what we think they should want.
We must discover whether we are on a path that will
lead to growing a sustainable business."
What he's talking about here is validated learning.
You can learn about things by asking someone so you can just say,
"Hey I'm planning to build this functionality,
would you use it?" People will say.
"Yeah, sure, I will use it."
But then, what he's talking about is validated learning
where you actually collect data to find
out whether somebody is going to use your feature or functionality that you are building.
That's the concept number one is validated learning.
Another idea is to complete the cycle as quickly as possible.
It's all about time.
Like how quickly can you do the cycle so that you can iterate
and reduce the waste or reach your market in a fostering.
The third thing I want to talk about is a way to think about this lean startup concept.
Whenever you have an idea that you want to
build or something new that you want to launch,
a lot of times there is assumption or assumptions about
that model that has to be true for that model to be successful.
And so, in lean startup concept,
you think about those assumptions and then you talk about what metric,
what can I measure to validate or invalidate my assumption?
And then, once you have that metric,
you think about what experiment can I give, can I do?
And I made it red color intentionally to say that just an experiment,
it's not even a product,
it may not be even a product.
You do that experiment to get the metric and that provides
that metric will validate or
invalidate the assumptions and then you can think about what are the next steps.
It has the concept of
validated learning because you're doing an experiment and getting a metric,
and then you are doing this as fast as possible.
That experiment has to be in such a way that you
don't spend years to learn about that metric.
Let's take a couple examples to learn about this concept.
you may have heard of zappos.com.
It's a website that sells shoes online.
When the founder of zappos.com,
part of this idea of selling shoes online he was thinking like,
"Will people actually buy shoes online?"
He wasn't sure and he didn't want to spend or invest
too much money creating an inventory of all the issues and then start selling.
What he did is this,
he went to a local store.
He went to a local store with his camera and then took
pictures of all the shoes in the store and
then uploaded those pictures of those shoes on
a website and basically made it a store online store for people to buy.
Then, he just said like,
"Let's see if people buy."
Pleasantly surprised, people bought shoes from the website
and then it became very
popular and then he started talking about inventory and all that stuff.
As you know that zappos.com was acquired by Amazon.
It's a very successful venture,
but as you can see how he started.
Now, let's apply the lean startup model on this.
When the founder was thinking about building this online shoe store,
he has an assumption that people will buy shoes online.
He thought of, "What metric can I measure that can validate or invalidate my assumption?
He thought of like if I know how many number of shoes sold online,
that would be a good metric.
What is the cheapest, not cheapest,
but what is the fastest way I can learn about this metric,
or how can I collect this metric?
And he thought, "Why don't I just create a website with shoe spec and see if people buy?"
As you can see that he had an assumption,
he thought of a metric,
and then he did an experiment to validate his assumption.
Let's take another example.
You must have heard of Dropbox, and so again,
the company who created Dropbox with a lot of technical people.
Again, they had assumption or they were thinking like,
"Will people need something like this where you want to share your content,
or you want to synchronize your files into multiple devices?"
Again, what Dropbox did is that they actually didn't build the product.
They just buried the video and the video basically shows how it will
work or what will be a user experience if they were to build the functionality.
Then, on the bottom of their video, they had a link,
or a place for people to provide
their email address to be notified if this functionality,
renders functionality is available.
Again, pleasantly surprised or nice,
they got thousands of emails saying that, "Yep,
I'm definitely interested in this kind of functionality and we would like it."
Then, Dropbox actually executed on that,
and you know where it is right now,
it's very popular and are very well known brand in the industry.
Again, let's apply our lean startup model on this as one of the assumptions.
In this case the assumption was,
people would want the functionality to sync files on
multiple platforms and the metric that they
thought what they will need is a number of people who sign up to use the service.
And the experiment they did is to create a video that will show how it will work.
Again, they validated their assumption after they did this very fast and easy,
even not very fast and quick,
to experiment, to collect the data,
to validate their assumption.
Let's take one more example.
As a third example is about a company called buffer,
and so they allow you to share and schedule
your content on social network or social network sites like Twitter,
Facebook, and things like that.
again, they wanted to know if people will be interested in it.
They didn't even create a video or a product.
They just created a dummy page.They created a dummy page which says;
Here is what our service will do. Are you interested?
And then, the next page shows that, "Okay,
we are working on it and here is
an email that you can provide and we'll get back to you."
Then, once they validated that,
then they did another experiment,
which was; Hey, will people pay for it?
Then, what they did is they created a page between these two,
and so if the user says,
"Yup, I'm interested in it."
Then, they showed a page where they say, "Okay,
select the payment plan that you would like and then,
when they click on the one of the payment plan."
Then they will say, "Okay, it is still in work in progress and we'll get back to you,
if you provide your email address."
Again, they did the two round of this validation of their assumption.
Again, let's apply the MVP model,
see if that works.
their assumption in round one was,
"Would people actually want to do this,
like would they want a schedule posting content on a social media?"
The metric will be number of people who click on the link to show the intents.
The experiment was to create a dummy page for people to show interest.
Once they got this cycle done,
then there is another cycle of the same,
build, learn and measure.
Build, measure and learn cycle which is what people pay for the functionality and
their metric was number of people who will click to
actual lead the second page which is the pricing plan, price plan.
The experiment was to include another page which will
show the pricing plan and for people to actually select the pricing plan.
Again, they did the two rounds,
and so you can keep on,
it creatively making sure that you're going in
the right direction for your product in a very trendy fashion and quickly,
as soon as you see that something is not going to work out,
you can drop this idea and start with another idea.
This lean startup concept really allows you to quickly learn
about your users or your market.
One question that comes to mind is that,
all of the examples that I gave are for kind of the startup company,
so does it even apply to a big industry?
Luckily or whatever you want to call it,
recently I ran into
this situation where I was paying for a service and in last five years,
the service, the price I was paying,
or the cost I was paying for,
the service fee that I was paying was almost doubled.
I wanted to check and I want to talk to the customer service company,
called customer service for the company and say,
"Why did it got doubled?".
To find that, I wanted to see invoice,
which was five years old,
and the invoice today,
and I wanted to get those numbers so that I
can show it to the customer service that, "Hey,
you guys have changed so much fees and it has almost doubled."
To do that, I went to their website and I was looking at it,
and I saw a link.
It was showing me the current and the last year invoices,
but then, there was a link to view older documents.
When I clicked on that link,
it actually showed me this message saying,
"We are currently working on adding new features to
the documents page such as adding multiple years of documentation.
By clicking this link,
you're giving us valuable data to
determine the demand for the document is beyond two years.
Thank you for helping us complete this announcement.
A full functioning page will be available soon."
Clearly, whether they intentionally did or not,
but this is clearly an idea or a concept of lean startup that the big company
used to make sure that they are working on the things that user actually need.
Again, let's apply the model.
In this case, the assumption was there is a need to see all invoices,
the metric would be number of people click on the link to see the old invoices,
and the experiment was to create a dummy link to show the old invoices.
As you can see,
again it's a concept that could be applied to startup,
as well as in big industry,
big companies you can apply this concept there.
Let's summarize what is the lean startup is all about.
It's about validated learning and it's about completing the cycle as quickly as possible.
Of course, it's incremental and iterative approach and then,
kind of believes in the very, very short cycle.
In terms of the predictive and adaptive cycle,
obviously, really obvious that it is very much on the adaptive side.
In fact, it's on the negative side of the adaptive that it's even goes beyond.
In terms of pros and cons,
I would say it helps you learn faster,
and helps you build the right product and, of course,
the speed to market, you can quickly go to the market by validating it.
In terms of cons, again,
may result in a rework and it requires you to experiment attractively with your clients,
not just with some proxy for the users but actual users and the client.
You experiment with them directly.
In the examples that we saw,
we had just a link and then,
when somebody clicks on it, it just says,
"Oh, we are still working on it."
There is a little bit of risk there that you're
experimenting with your users and your clients directly.
Where do you use this?
If you have a very doubtful business case, or a user need,
or if there is a lot of high probability risk,
then you can use this concept.
Of course, if you are building
a big product and you're just not sure about a specific feature,
then you can use this concept
to validate it before you put too much effort into that feature.
That's being startup.
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