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Managing complex software development projects is about efficient utilization of resources, risk management, accurate estimation of budgets and timelines, experienced selection of appropriate technologies, and scheduling feature development to meet time-to-market requirements. Client requirements are everything at MindGenies. Hence we have our a Client-driven Iterative Development Methodology which takes care of the Client Requirements as well as keeping a strong check on various other Quality and Risk issues.

Iterative Development is an approach to building software (or anything) in which the overall lifecycle is composed of several iterations in sequence. Each iteration is a self-contained mini-project composed of activities such as requirements analysis, design, programming, and test. The goal for the end of an iteration is an iteration release, a stable, integrated and tested partially complete system. Although an iteration can in theory be only for clean-up or performance tuning, usually the partial system grows incrementally with new features, iteration by iteration; in other words, incremental development. The concept of growing a system via iterations has been called Iterative and Incremental Development (IID), although simply "iterative development" is common. In this era, most development methods are IID methods.

Our orientation is towards Client-driven Iterative and Incremental Development model which implies that the choice of features for the next iteration comes from the client-whatever they perceive as the highest business value to them. In this way, the client steers the project, iteration by iteration, requesting the features that they currently think are most valuable. Note that the customer adaptively plans the choice for the next iteration, shortly before it starts, based on their latest insight, rather than speculatively at the start of the project. The customer has ongoing control and choice, as fresh information arises At MindGenies most projects have at least three iterations before a final public release. In modern iterative methods, the recommended length of an iteration is between one and six weeks. Each iteration includes production-quality programming, not just requirements analysis, for example. And the software resulting from each iteration is not a prototype or proof of concept, but a subset of the final system.