🛠️ Early-stage framework, evolving through practice.
The aim of Product-Oriented Data Framework (PODAF) is to provide a standard for managing data with user experience as its core.
Focusing on user experience means structuring processes according to the capabilities the user needs. In other words, the elements, actions, and even the semantics respond to what the user wants to do with the data, not what the technology dictates.
To achieve this mission, PODAF serves as a doctrine, taking ideas from the most widely used standards and regulations in the industry and allowing the data user to be given the importance they deserve.
The fundamental principles and motivation of the PODA framework are described in our manifesto
The mission of the PODA framework assumes that the user's pain point is the need for data, typically to make a decision by reducing uncertainty. To address this pain point, the user needs to find the data (DISCOVERY), capture the data (RESCUE), and use it (EXPLOIT).
Based on this assumption, PODAF articulates the solution through:
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Conceptualization: analyzing the state of the art, identifying the gaps in other frameworks, and explaining the rationale. Based on the user's pain point and the gaps left by current standards, the PODA values have been defined. These are outlined in our manifesto.
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Semantic Layer: we have defined the elements and actions relevant to the user-data interaction. This allows us to maintain a common language with business matter experts without resorting to technical data jargon. This is defined in our PODA ontology.
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User guide: This section bridges the gap between the PODA ontology and its practical application. It explains how the defined elements interact, how they map to real user needs, and how they can be combined to solve concrete data problems.
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Tactical Resources: we provide playbooks to meet user needs. Our team comes from the world of data; we know it's not magic. Defined in our PODA tactical resources section
PODAF is for you if working with data feels unnecessarily hard.
If you find yourself navigating standards, governance models, and best practices that don’t seem written for how you actually work, you’re not alone. Most frameworks are built to organize data at the company level, not to help you use it.
PODAF starts from a different place. It assumes you already know what you need from data. The problem is not defining it, but being able to find it, access it, and use it without friction.
If you’re working on data-intensive products and existing approaches feel disconnected from your reality, PODAF is likely closer to what you’ve been missing.
PODAF is developed by practitioners working at the intersection of data and product.
The team behind it has experience in the tech industry, particularly in the data provider space, as well as in finance and defense. It comes from hands-on work building data-intensive systems, where the main challenge is not managing data, but making it usable.
The framework reflects a practical perspective shaped by real constraints, not theoretical models. PODAF is not backed by a standards body or a consortium, but by direct experience with the limitations of existing approaches.
PODAF is powered by Spoton Labs. PODAF is licensed under Apache License 2.0