DRM: Resolve 'Problem' Element Type Policy Discussion

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DRM: Resolve 'Problem' Element Type Policy Discussion

Alright guys, let's dive into a crucial decision regarding the 'Problem' element type within our models. This came up during the DRM alignment review, and it's something we need to nail down to ensure consistency and adherence to the standard DRM framework by Blessing & Chakrabarti.

Background

During our recent DRM alignment review, we spotted something kinda funky: some models are using "element type": "Problem". Now, here's the kicker – this isn't part of the standard DRM framework laid out by Blessing & Chakrabarti. According to the DRM framework, Problems should be described in a research context, not as network nodes. Instead, all nodes should represent influencing factors, which are attributes of elements.

Where We See It Now:

  • dailies-effectiveness-reference-model.json
  • dailies-effectiveness-impact-model.json

What the DRM Standard Says:

  • Problems are described in research context, not as network nodes
  • All nodes should be influencing factors (attributes of elements)

Decision Time: What Do We Do with 'Problem'?

Okay, so here's where we need to make a call. We've got a few options on the table, each with its own set of pros and cons. Let's break them down:

Option A: Rip It Out – The Strict DRM Approach

  • What it Means: We'd completely remove the "Problem" element type from all our models. Basically, a clean sweep. We'd then need to rework those elements into proper factors, classifying them as "SchlĂĽsselfaktor" (Key Factor) or "Einflussfaktoren" (Influencing Factors`).
  • Pros: This gets us to full DRM compliance. No more bending the rules!
  • Cons: Massive refactoring. It's gonna take some time and effort to rework those existing models.

Option B: 'Problem' as a Ghost – The Pragmatic Approach

  • What it Means: We'd keep the "Problem" element type in our existing models but only as a documentation thing. Like, it's there, but it doesn't really do anything. We'd also add it to our GATEKEEPING_CRITERIA.md as a non-standard, legacy type. The big rule here is that Problem elements CANNOT have any outgoing connections. And, of course, no new models should use this type.
  • Pros: We save our existing work. No need to tear anything apart right now. Plus, it gives us a clear path for migrating away from it.
  • Cons: We're keeping a non-standard practice alive, which isn't ideal.

Option C: 'Problem' Reborn – The Best Practice Approach

  • What it Means: We'd transform the "Qualität des Dailies" (Quality of Dailies) from a "Problem" type to a "SchlĂĽsselfaktor" (Key Factor). This means making sure it's measurable and influenceable, and then integrating it into our factor network with proper connections.
  • Pros: This is the best practice. It keeps the model valuable and aligned with the DRM standard.
  • Cons: This also requires careful reformulation to ensure it aligns as an influencing factor.

My Two Cents: Recommendation

I'm leaning towards Option B (Document as Legacy) initially, but with a clear plan to move towards Option C over time. Here's the breakdown:

  1. First, we document "Problem" as non-standard in GATEKEEPING_CRITERIA.md. This makes it official.
  2. Next, we mark the models that are currently using it as legacy. We need to know what we're dealing with.
  3. Going forward, all new models must use proper factor formulation. No more "Problem" elements!
  4. And, as we update existing models, we gradually refactor them to eliminate the "Problem" type altogether.

This approach lets us keep what we have while setting a course for full DRM compliance.

Why This is Important

In the realm of model creation and maintenance, adherence to established frameworks like the DRM standard ensures several critical advantages. By sticking to the guidelines set forth by Blessing & Chakrabarti, we promote consistency across our models. This means that anyone working with these models, whether they are internal team members or external stakeholders, can easily understand and interpret them. Imagine the chaos if everyone used their own unique element types and connection styles – it would be a nightmare to collaborate and share knowledge!

Furthermore, adhering to the DRM standard enhances the reliability and validity of our models. The DRM framework is based on rigorous research and best practices, providing a solid foundation for building models that accurately represent real-world phenomena. When we deviate from the standard, we risk introducing biases, inaccuracies, and inconsistencies that can compromise the integrity of our models. Think of it like building a house – if you don't follow the blueprint, the structure might be unstable and prone to collapse.

By aligning our models with the DRM framework, we also facilitate easier integration and interoperability with other systems and datasets. Standardized element types and connection styles allow us to seamlessly connect our models to external data sources, enabling more comprehensive analyses and informed decision-making. This is particularly important in today's data-driven world, where organizations are increasingly relying on integrated systems to gain a competitive edge. Imagine trying to fit a square peg into a round hole – without standardization, integration becomes a frustrating and time-consuming process.

Moreover, maintaining compliance with the DRM standard ensures the long-term sustainability and maintainability of our models. As the DRM framework evolves and adapts to new research and technological advancements, our models will remain relevant and up-to-date. This reduces the risk of obsolescence and ensures that our models continue to provide valuable insights for years to come. Think of it like maintaining a car – regular servicing and upgrades keep it running smoothly and prevent it from breaking down.

Therefore, while the decision of how to handle the 'Problem' element type may seem like a minor detail, it has significant implications for the overall quality, reliability, and sustainability of our models. By carefully considering the options and choosing a path that aligns with the DRM standard, we can ensure that our models continue to provide valuable insights and support informed decision-making for years to come.

References

Tasks

Alright team, let's get to work:

  • [ ] Team discussion to choose option
  • [ ] Update GATEKEEPING_CRITERIA.md with chosen policy
  • [ ] If Option C chosen: Refactor existing models
  • [ ] Document decision in commit message