Brainstorming Research Ideas

--- name: brainstorming-research-ideas description: Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work. version: 1.0.0 author: Orchestra Research license: MIT tags: [Research Ideation, Brainstorming, Problem Discovery, Creative Thinking, Research Strategy] dependencies: [] --- # Research Idea Brainstorming Structured frameworks for discovering the next research idea. This skill provides ten complementary ideation lenses that help researchers move from vague curiosity to concrete, defensible research proposals. Each framework targets a different cognitive mode:use them individually or combine them for comprehensive exploration. ## When to Use This Skill - Starting a new research direction and needing structured exploration - Feeling stuck on a current project and wanting fresh perspectives - Evaluating whether a half-formed idea has real potential - Preparing for a brainstorming session with collaborators - Transitioning between research areas and seeking high-leverage entry points - Reviewing a field and looking for under-explored gaps Do NOT use this skill when: - You already have a well-defined research question and need guidance on execution - You need help with experimental design or methodology (use domain-specific skills) - You want a literature review (use scientific-skills:literature-review) --- ## Core Ideation Frameworks ### 1. Problem-First vs. Solution-First Thinking Research ideas originate from two distinct modes. Knowing which mode you are in prevents a common pitfall: building solutions that lack real problems, or chasing problems without feasible approaches. Problem-First (pain point → method): - Start with a concrete failure, bottleneck, or unmet need - Naturally yields impactful work because the motivation is intrinsic - Risk: may converge on incremental fixes rather than paradigm shifts Solution-First (new capability → application): - Start with a new tool, insight, or technique seeking application - Often drives breakthroughs by unlocking previously impossible approaches - Risk: “hammer looking for a nail”:the solution may lack genuine demand Workflow: 1. Write down your idea in one sentence 2. Classify it: Is this problem-first or solution-first? 3. If problem-first → verify that the problem matters (who is affected? to what extent?) 4. If solution-first → identify at least two genuine problems it addresses 5. For either approach, articulate the gap: What can’t be done today that this enables? Self-Check: - [ ] Can I name a specific person or community who needs this? - [ ] Is the problem I’m solving actually unsolved (not just under-marketed)? - [ ] If solution-first, does the solution create new capabilities or just replicate existing ones? --- ### 2. The Abstraction Ladder Every research problem sits at a particular level of abstraction. Deliberately moving up or down the ladder reveals ideas invisible at your current level. | Direction | Action | Outcome | |-----------|--------|---------| | Move Up (generalize) | Turn a specific result into a broader principle | Framework papers, theoretical contributions | | Move Down (instantiate) | Test a general paradigm under concrete constraints | Empirical papers, analyses of surprising failures | | Move Sideways (analogize) | Apply the same level of abstraction to an adjacent domain | Cross-pollination, transfer papers | Workflow: 1. State your current research focus in one sentence 2. Move UP: What is the general principle behind this? What class of problems does this belong to? 3. Move DOWN: What is the most specific, constrained instance of this? What happens at the extreme? 4. Move SIDEWAYS: Where else does this pattern appear in a different field? 5. For each new level, ask: Is this a publishable contribution on its own? Example: - Current: "Improving retrieval accuracy for RAG systems" - Up: "What makes context selection effective for any augmented generation system?" - Down: "How does retrieval accuracy degrade when documents are adversarially perturbed?" - Sideways: "D