The Producer works closely with the Client to normalise the data and humanise the findings of the iteration to then collaborate on a plan for what should be done next.
With a plan in place, the next iteration begins to test a new hypothesis, trial a new feature or begin the next development sprint. The Producer collaborates with the cross functional teams to flesh out the solution and build the solution.
Appropriate strategies for collecting feedback and data from what has been built is carried out until there is enough evidence to form a conclusion and validate the solution (or not).
The process is fundamentally a feedback loop of constant iterations to trial and test ideas and functions.
Projects are broken into smaller modules to reduce risk, deliver faster and allows easy and transparent billing.
We all like to know what is going on. The project dashboard allows everyone to see what is being done in realtime.
Data-driven development iterations make sure that you are building what is most important for your users at that time.
Reducing unnecessary development and planning small modules of ongoing development is better for cashflow. There is no hidden costs and there is no lock contracts.
Efficient & Effective
Costs are reduced and the right product is built from the start because nothing is being built without it first being validated.
The discovery stage is an initial consultation where the Producer sits down with the client to get an in depth knowledge of the business and see the problem from as many perspectives as possible.
Following the initial Discovery process, a solution is designed mostly in collaboration with client team members to provide a clear roadmap of what’s to come. This might be in the form of Mockups, Prototypes or process flow diagrams etc.
The design is handed to the development team and the business logic, application logic and other intelligence is built into the product. All the while, the progress can be monitored via the project dashboard.
Research & Feedback
Analytical measures are implemented to track the success of the latest build to provide the Producer and the client with the information they need to make decisions on the next iteration. What worked, what didn’t? How can this be improved? What does the data suggest?