In recent years Amazon, Google and Apple have radically changed how software is used for very sophisticated functions as cloud based or custom-built internal systems. The trend towards product thinking has accelerated the demand for new products and modernizing old ones. This new type of solution now requires different processes and skills for creation of simplicity and ease of use, but are facing far more complex use cases and in a remote-friendly work environment. Join our experts that will give real world examples and show the Expero ‘Product Factory’ method and process for rapid software development that will drive more revenue and increase productivity, while lowering operational costs.
This session will focus on how Expero can help your teams increase the process speed of product ideas from opportunity to production. We will explain our unique approach of combining product strategy and user experience design with technology and data to accelerate ideas to maturity, so you can quickly maximize analytical insights, drive larger functional increases and user loyalty, helping to unlock the potential in your organization.
Expero Product Factory - Overview for different types of software development steps including repeatable playbooks for items like: New from scratch products, modernization of older products, moving products from on premise to cloud based platform. Real examples and demos
Stages of Product Design - Detailed ‘playbooks’ for how to manage and drive more features and faster time to market. How and when to include market information and customer feedback. How to measure value to stakeholders and benefits with product-market-fit
How to Utilize Prototypes - How and when to use different types of prototypes. Demos with a ‘Rubric’ for decision making on how to incorporate a data driven prototype vs. a simple storyboard, which one is right for your project?
User Value Matrix - how technology improvements and capabilities in visualization and human intelligence increase throughput and provide valuable data analytics, and create quicker and more efficient outcomes for users like: Managers, Risk Analysts, Investigators, and Data & Analytics teams