Bridging the interaction between data teams and domain experts

At Slight, we believe that data work is about more than just data teams

Data work is all the conversations between data teams and domain experts about what questions they're trying to answer. It is how people discover, interact with, and learn from data resources. It's about how and why initial requests are made and how they’re prioritized. It is the actions that follow on from these questions - the data exploration, analysis, documentation, and deployment - and the business decisions that result.

We’re building a product focused on this full process, on all areas of interaction between data teams and domain experts

With Slight, domain experts will be genuine partners in data work and data teams will have a proactive voice in and the tools to impact core data driven decisions across a company.

Full Process: Lifecycle of Data Work

The primary dimension we use to think about data work is the lifecycle of a data request. That is, data work begins as a question or request; enters an iteration phase where ambiguities are clarified and goals of the work agreed upon; and finally the work is actually deployed, shared, and used. The graphs below detail the jobs we're doing and problems we're solving, along with the products we're building along this dimension. For details on our early product roadmap, see our blog post on on what we're making.

Implicitly, we also have the "ask-do" dimension, with the domain experts usually asking, the data teams usually doing, and both parties doing a number of jobs that fall in between these ends of this spectrum. You'll see this encoded as a color gradient below in the Jobs and Pain Points graph.

Lifecycle of Requests

Initial Request

Initial Request

Iteration

Iteration

Production / Use

Production / Use

Long Term

Long Term

Jobs and Pain Points

Getting / Using Domain Experts

Giving / Defining Data Teams

What We're Building

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