During this stage you validate the assumptions underlying your value proposition, and discover what customers really care about. This is a long and iterative process.
Product-market fit happens when you have evidence that your product is creating value for customers and getting traction in the market.
Metrics to look at include: user growth, retention, engagement, and monetization.
Check these ideas for detailed metrics:https://dsta.sh/xwX2D2TsH3t817yKA
MORE IDEAS FROM Searching for Fit
Every company needs a sound business model. You need to pair the value proposition with a business model that creates value for your company.
During this stage there's a lot of back and forth between designing the value proposition and the business model.
Fit happens when you generate more revenue than it costs you to deliver the value proposition.
At this stage you identify jobs, pains and gains that are relevant to customers, and you design value propositions that you believe can address them.
You prototype multiple value propositions to find the one which produces the best fit. However, the fit you achieve is not yet proven and exists mainly on paper.
A successful value proposition requires fit between what the company offers and what customers want.
Fit happens in three stages:
Systems can be scaled:
Docker is a very powerful tool for development and code deployment. This is what you’re missing to take it to the next level!
Docker is an open source containerization toolkit which enables developers to package applications into containers.
As the name suggests, Docker is like a container ship which provides means to sort, link, manage and ship containers from a development setup into production.
So you started development using a Docker architecture but you don’t know how to scale and deploy?
It’s a cluster comprised of a group of physical and virtual machines running the Docker Engine, these are called nodes.
One of the nodes is elected to be the Leader by using the Raft consensus algorithm. He make all the orchestration decisions for the swarm. In case of failure, a new leader it’s automatically elected.
Manager nodes assign tasks to Worker nodes. They can do some other managerial tasks. You want to have an odd number of managers, for reliability purposes. Having to many managers can degrade performance, it’s recommended to have at most 7.