Amras Labs Product Development Process

Amras Labs Product Development Process

We help our partners innovate by following best principles on digital product management by creating structured product vision, strategy & roadmaps. We create disruptive digital products and apps with our experienced and creative agile and scrum teams. We provide support and maintenance to ensure quality deliverables.

Our approach is divided into 5 clear product sections:


(Develop Foundation and Recommendation)


Researching and understanding your users, their expectations and behaviours, and how your product factors into all of it.

Establish context

Investigating your users’ reference applications to establish context and benchmarks on how your product should function and improve on that.


(Designing solution based on user research)

User Definition

Defining who exactly is your user, user personas, user journey and what their requirements are.

User Research

Gathering, organising and prioritising user wants and needs, to help us design the best solution to solve these needs.


(Defining scope of work)

Designing Solution

Defining the product vision, strategy and roadmap.

User Stories

Developing the value proposition, brainstorm possible approaches and creating user stories and product backlogs.


Defining the scope of the Minimum Viable Product (MVP), working through extensive wireframes and designs and getting them approved before we proceed to development.


(Developing Minimum Viable Product)

Product Development

Using the agile and scrum process to build the product in an iterative manner.


The development and delivery stages go hand in hand, but this stage involves extensive QA & user testing to ensure the product is bug-free and of the highest quality.


(Product Improvement based on feedback)

User Feedback

This is where we take the process to the next level – based on data collected through product usage and feedback, we continue to improve the product.

Data Analysis

This stage involves closely analysing qualitative and quantitative data based on reporting metrics put in place, to decide on future improvements for the product.