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Research Problem Framer

by @quochungto

Transform a research question into a fully framed research problem that readers recognize as worth solving, using the condition+consequence structure and the...

⚑ When to Use
TriggerAction
A research problem has two parts:
1. **Condition:** A gap in knowledge or understanding (stated as your research question)
2. **Consequence:** What more important question cannot be answered until this gap is closed
Without the consequence, your question is a private curiosity. With it, you enter a community conversation.
Typical triggers:
- "I have a good question but my advisor keeps asking 'so what?'"
- Your introduction describes what you will study but does not create a reason for readers to keep reading
- You finished the 3-step formula and Step 3 still feels thin or forced
- You are not sure whether your consequence is strong enough for your field
- You need to write an introduction that opens with stakes, not just a topic
**Preconditions to verify:**
- Does the user have a focused research question (a how/why question, not a topic)? If not: invoke `research-question-formulator` first, OR ask the user to state what they want to find out in one sentence.
- Does the user know their intended audience? (The consequence must land from the reader's point of view, not the researcher's.)
**This skill does NOT cover:**
- Formulating the research question from scratch (use `research-question-formulator`)
- Writing the full thesis, claim, or argument structure
- Evaluating source quality or selecting a methodology
πŸ’‘ Examples

Example 1 β€” Undergraduate humanities paper

Input question: How have cultural depictions of romantic love in American movies changed since 1970?

Step 2 β€” Problem type: Conceptual. The condition is not knowing how depictions have changed; there is no immediate practical cost, but there is an epistemic consequence.

Step 3 β€” Condition: We do not yet know how romantic movies have changed their depictions of love and relationships over the past fifty years.

Step 4 β€” So What? cascade:

  • So what if we don't know this? β†’ We can't understand how Hollywood storytelling shapes cultural expectations about romantic partnerships.
  • So what? β†’ We can't understand how mass media influences what young people expect from marriage and long-term relationships.
  • *(Audience cares. Stop here.)*
  • Step 5 β€” Pure or applied: Pure. The consequence is about understanding cultural influence, not about making better movies or fixing relationship expectations. No practical fourth step needed.

    Problem statement: > We do not yet know how American romantic movies have changed their depictions of love and partnership over the past fifty years. Without that knowledge, we cannot fully understand how Hollywood storytelling shapes the expectations young people bring to romantic relationships β€” a question central to cultural psychology and media studies.


    Example 2 β€” Graduate policy research

    Input question (from 3-step formula): How did the loss of NASA's Hubble instruments change the agency's approach to telescope design and redundancy planning?

    Step 2 β€” Problem type: Hybrid. There is a conceptual problem (what we do not know about how institutional learning works after a major failure) linked to a practical one (how NASA and similar agencies should design future systems).

    Step 3 β€” Condition: We do not know how the Hubble failure changed NASA's internal design review and redundancy protocols.

    Step 4 β€” So What? cascade:

  • So what? β†’ We can't understand how large engineering organizations update institutional practices after high-profile failures.
  • So what? β†’ We can't explain what conditions cause those updates to stick versus fade within a decade.
  • *(Applied consequence within reach: agencies cannot design reliable failure-response protocols.)*
  • Step 5 β€” Framing: Applied. The consequence refers to doing (designing better protocols), so the project is applied research.

    Problem statement: > We do not know how the Hubble Space Telescope's optical failure changed NASA's internal design review and redundancy planning processes. Without that understanding, large engineering agencies lack a documented model for how institutional learning after catastrophic failure translates β€” or fails to translate β€” into lasting procedural change.


    Example 3 β€” Professional context

    Input: "I'm writing a report on why our engineering team's velocity dropped after switching to remote work. My manager wants to know if we should go back to in-office or just change our remote policies."

    Step 2 β€” Problem type: Practical problem (velocity drop costs delivery time and morale) β†’ motivates a conceptual problem (we don't know which aspect of remote work caused the drop).

    Step 3 β€” Condition: We do not know whether the velocity drop is caused by collaboration friction, tooling gaps, scheduling misalignment, or some combination.

    Step 4 β€” So What? cascade:

  • So what? β†’ Without knowing the cause, management cannot fix the right variable.
  • So what? β†’ The organization risks reverting to in-office work to solve a problem that actually requires policy redesign, not location change.
  • *(Manager cares. Stop here.)*
  • Step 5 β€” Framing: Applied. Consequence refers to doing (making the right policy decision).

    Problem statement: > We do not yet know whether our team's velocity decline after the remote transition stems from collaboration friction, scheduling misalignment, tooling inadequacy, or a combination of factors. Without that diagnosis, any intervention β€” including a return to in-office work β€” risks fixing the wrong variable and leaving the actual cause unaddressed.


    View on ClawHub
    TERMINAL
    clawhub install bookforge-research-problem-framer

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