Climate Tech Discovery Sprint
Climate & Sustainability Product Discovery
You may have a feature list, funding deadline, or stakeholder request, but the use case, data, user workflow, and adoption path are not yet clear enough to estimate responsibly.
Common gaps
Questions to answer before development
Common patterns in companies, impact startups, and public-sector innovation
Someone needs a number for budget or a grant, while users, data, and success criteria are still fuzzy.
Climate or sustainability work already happens across spreadsheets, emails, and disconnected tools, often with no clear owner.
Vendors and demos look fluent. It is unclear what can be automated safely and where human review is required.
Open source, internal tooling, and vendor software all sound plausible; the integration and adoption path is not.
Pain sits in one department; budget and IT ownership sit in another. The first pilot needs a door into that reality.
How the Discovery Sprint works
Step 1: Frame the problem
We nail the actual problem, stakeholders, and what 'good' would look like for a first pilot.
Step 2: Map users, data, and workflow
We document who uses what today, where data lives, and where the process breaks.
Step 3: Feasibility and risks
Technical, AI, adoption, and organizational risks, including what not to automate.
Step 4: Pilot backlog and options
A practical first version, architecture sketch, and implementation options with open budget logic after the scoping call.
Relevant experience
What we bring
Product discovery with climate-domain and delivery experience
We start from who will use the tool day to day, not from a feature list or a demo.
We assess what data exists, what is missing, and what current AI can reliably do for the decision.
Our team and network bring long software, AI, and UX delivery experience, applied on climate and sustainability work including Score4More, AdaptNow, and Actwyser.
When the pilot is clear, we can connect the work to ESG consulting, climate risk assessment, data analytics, or AI implementation. We may also recommend another provider.
Sprint outputs
What you get
Typical outputs from the Climate Tech Discovery Sprint
Use-case definition
The problem worth solving and the decision or workflow it supports.
User and stakeholder map
Users, buyers, influencers, and blockers.
Data and workflow assessment
What exists, what is missing, and how work happens today.
Feasibility and risk assessment
AI opportunities and limits, adoption risks, technical constraints.
Pilot backlog
A first version that can be estimated and tested.
Architecture sketch and options
Build, buy, open source, or hybrid, with a recommended path.
Frequently Asked Questions
Who is this for?
Sustainability and climate-risk teams, impact startups, public-sector innovation teams, research consortia, and companies considering AI or open-source climate tooling.
How is this priced?
Scope and price are agreed after a 60-minute scoping call. We do not publish fixed package prices.
Is this the same as a free workshop?
No. This is a paid discovery engagement once scope is clear. The scoping call is the low-friction first step.
What if Boundary & Product is a better fit?
If the collaboration lane or product-vs-service boundary is the main unknown, start with the Boundary & Product Sprint instead.
What comes after discovery?
Often a prototype, implementation project, benchmark of an AI pipeline, or a stop recommendation. We keep that explicit.
Scope a pilot before you build
Book a 60-minute scoping call. We will determine whether Discovery is the right package or point you elsewhere.
We usually reply within a few working days to schedule.
Book a 60-minute scoping call
Describe the idea or pressure you are under. We will help define whether a Discovery Sprint is the right next step.