Case study - ecosurety

Digital first
revenue model.

The problem

Sustainable delivery for a sustainability business

Ecosurety is an environmental consultancy that helps big brands comply with environmental regulations around packaging and recycling.Reason collaborated with key stakeholders to explore and validate ideas, leading to the design, build and launch of a new subscription-based website, the Ecosurety Hub in under 6 months.

Reason did
Data led change

Ecosurety's purpose is to accelerate change towards an environmentally sustainable world, using data and insights to enable businesses to make sustainable product and packaging decisions.They’re also the first company of their kind to become a B Corp, committing to balance profit and purpose, and meet the highest standards of social and environmental impact.

The challenge

Regulations around packaging and recycling in the UK are going through a massive shift, aiming to promote the use of recycled materials, and get producers contributing more towards the eventual recycling of the packaging they put out to market.Many companies will face increasing costs to comply with the new regulations, which means they need to scrutinise their product portfolio to optimise their packaging choices. Having worked in this space since 2003, Ecosurety is in a unique position to inform and influence these choices.

  • Launch a new platform where existing and new Ecosurety customers could come to learn about the new regulations and access interactive visualisations that drive decision making
  • Make that platform flexible enough to support future growth and respond to changes in the regulatory environment (which is still in flux)
  • Clearly convey the new proposition to existing Ecosurety customers, and offer flexible options for new customers to sign up
What we did

Launching the Ecosurety Hub means that customers can now get access to:

  • Members-only access to industry information and new legislation
  • Bespoke data dashboard with PowerBI integration
  • Visual data modelling using real company data
how we achieved it

Delivery @ Reason is focussed on optimising time to market. We do this by using data to increase predictability & transparency, whilst reducing risk.To support this we designed a flexible contract providing the ability to pivot and re-prioritise from sprint to sprint.As the team formed, we ran bite-sized workshops to establish roles and responsibilities, working agreements, and align on tooling.
Through the adoption of Reason’s agile lean framework the creation and analysis of flow-based forecasting metrics enabled powerful conversations on prioritisation. Transparency and a shared understanding of the data allowed the team to reduce bottlenecks and optimise flow, resulting in improvements to throughput (+200%). A key technique we adopt here is how we broke work down.

“The question was: 'Can we do a live demo with our prospects?' The answer was YES and that was just amazing!”

Jon Brookes
Partnership Director and Board Member
The outcome

A global store view in the palm of your hand.

  • Forecasting with data allows for objective decision making
  • Predictability of delivery increased over time
  • Daily collaboration accelerates client-agency blended teams
  • Regular retrospectives led to continuous improvement
  • Ongoing agile coaching helped shape the ways of working in an incremental fashion
Next up


FX Trade Processing Transformed with Machine Learning

Case study