How Low Code Addresses 3 Major Pain Points of Application Development
Jul 8, 2022
Low code allows projects to be delivered faster by addressing three key pain points
Pain point 1:
Poorly defined user requirements
- Poor understanding of the user needs and motivating reasons behind those needs
- Focusing on User Interface instead of the overall User Experience
- User stories open to interpretation
Addressing Pain point 1:
Improve requirements definition to drive velocity and quality
- Take a user experience (UX) and human-centered approach that creates solutions users will love with higher adoption rates
- Understand end user needs and motivating factors driving those needs
- Understand business needs and how they impact or drive end user behavior
- Produce precise user stories that developers can easily interpret
Pain point 2:
Slow build cycles
- Lack of qualified resources
- Especially for UI/UX
- Inability to integrate with existing systems and data stores
- Lack of standardization and repeatability in code development
Addressing Pain point 2:
Strategically leverage low-code to dramatically increase development velocity and time to market
- Leverage a high productivity visual full stack development platform
- A single tool to manage full application development and life cycle
- Quickly and seamlessly integrate with backend systems
- Create beautiful UI/UX out of the box without the need for specialty design skills
Pain point 3:
Continued reliance on manual testing
- Automate testing to reduce defects and shorten QA cycles
- Automate deployment, regression and performance testing to reduce errors and decrease time to market
Addressing Pain point 3:
Automate testing to reduce risk
- Build automated unit test cases to help reduce defects during development and shorten QA cycle
- Engineer automated UI test cases to perform redundant tasks and eliminate regression error prior to release
- Automate pipeline deployment from DEV to QA to PROD
- Automatically execute regression and performance test suite to expedite your release schedule