This canvas and associated guidance is is a strategic management and lean startup template that can be used the to describe, design, challenge, and pivot a business model to deliver different values or in different ways. It consists of 9 elements: value proposition, customer segments, customer relationships, channels, key partners, key resources, key activities, cost structure, and revenue streams.
It can be used individually or in a group. It works in conjunction with the Value Proposition Canvas and other strategic management and execution tools and processes.
This canvas has been widely used and many variations exist, including those adapted to a non-business context. When adapting to the public sector context, "customers" may be considered stakeholders or users and "revenue streams" may also include outcomes or impacts.
It was originally intended to provide a more nimble and understandable replacement for a business plan.
The resource was developed for IFRC and National Societies to develop their literacy around data, but it could easily be applied to other organisations. It aims to promote responsible data use and develop data readiness. It has been tailored based on these audiences:
The Data Curious, who needs an ‘on ramp’ to learn and be exposed to the data basics.
The Data Advocate, who sees relevance and and wants to improve their skills and/or offer support.
The Data Active, who are motivated to self-learn and are on their way to being a ‘data-leader’.
The Data Ready, who are ‘trainers’ or ‘data leaders’ who lead data-driven projects and mentor colleagues.
It was heavily influenced by the DIY toolkit, the Atlassian Team Playbook and the Open Organization principles. The content is built to be social and modularised and used in a ‘pick and choose’ method. It includes examples, best best practices, how to’s, slides, session plans, training materials, matrices and scenarios, which are provided in formats that are easily adapted by others.
The resource provides support for individuals and organizations wishing to publish open government data. Some guidance may be specific to the Swiss context. It is designed as a wiki: contributions from organizations and individuals that have experience with open data are welcomed. The resource is organised into stages: identify, prepare, publish, and support. A Github repository of the website's code is also available.