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Due to the pandemic, centralized offices have transformed into decentralized networks of people working from home. It has become an incentive for the implementation of SaaS in business processes.
More and more companies are looking to use the cloud to support remote and hybrid work models and improve system reliability. If you have a cool cloud service idea, now is the time to implement it. To understand whether your project will be in demand in your niche, we recommend starting from the MVP stage.
If you still feel uncertain even after reading this post, you can find more useful information on building and running an MVP by following the link: https://intellisoft.io/.
MVP is a basic version of the cloud product with the main features only. However, it cannot be crude or primitive because it must perform its tasks at the maximum level. It is a kind of strength testing of the idea, which helps understand whether the product is demanded by users and corresponds to market trends. However, startup MVP development has much more goals.
You should be prepared that the work on the MVP will last more than one week since you need to complete many steps to make everything perfect: from assessing the situation in the niche to sequential deployment.
The process can be divided into three major steps. The first one is related to market analysis, which implies creating user stories, studying the tech stack, and preparing specifications. Further work is related to design, front-end, and back-end. After testing and checking results, the basic version moves to the launch stage.
Working with SaaS has some peculiarities. For example, after gathering feedback, you should find out which pricing model is attractive to the audience (pay per feature, user, or freemium). It is natural that studying and implementing all the nuances will take some time, but what are the exact dates?
According to our observations, the development of the basic version lasts an average of 3-4 months. It is standard for projects where many specialists are engaged: analysts, developers, designers, DevOps, and QA. Tasks can be executed simultaneously, which saves time. Of course, it is necessary to consider the project’s complexity and scale.
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