🎯 1. Ensure Each Aim Directly Tests a Hypothesis
- 🎯 Each aim should test a clear sub-hypothesis of your overarching hypothesis.
- 🧪 Experiments must actually test what you claim they test—not simply describe phenomena.
- 🧩 Avoid purely descriptive experiments (KO phenotype, activity recordings without causal testing, etc.).
- 🛠️ Make the mechanistic insight explicit—reviewers expect this.
🔗 2. Avoid Interdependent Aims (A Fatal Flaw)
- ❌ Aims must stand independently; Aim 2 should not require Aim 1 to succeed.
- 🔀 Structure aims so each tests a distinct component of your overarching hypothesis.
- 🧠 This protects feasibility and makes your proposal review-proof.
- 🤝 But, make sure that aims are related, both testing subcomponents of you overarching hypothesis.
🧪 3. Use Rigorous, Well-Controlled Experiments
- 👁️ Study top papers in your field—model your rigor on theirs.
- 🔬 Include all necessary controls, validation steps, and replication.
- 🧠 Avoid artificial manipulations that lack physiological relevance.
- 🧩 Use converging evidence: multiple methods testing the same concept from different angles.
🧠 4. Ensure Experiments Truly Test the Hypothesis