1. Testable: The hypothesis must be able to be tested through experimentation or observation. This means it needs to be specific enough to allow for measurable results.

2. Falsifiable: The hypothesis should be capable of being proven wrong. This means it's not a statement of absolute truth, but rather a proposed explanation that can be challenged and potentially rejected through evidence.

3. Specific: A good hypothesis is not a vague statement. It clearly identifies the relationship between variables being investigated and the expected outcome.

4. Clear and Concise: The hypothesis should be easy to understand and communicate. Avoid jargon or ambiguous language.

5. Based on Prior Knowledge: While the hypothesis is a proposed explanation, it should be rooted in existing knowledge or observations. It shouldn't be completely random or disconnected from existing scientific understanding.

6. Plausible: The hypothesis should be a reasonable explanation for the phenomenon being investigated. While it should be testable, it shouldn't be outlandish or defy established scientific principles.

7. Relevant: The hypothesis should address a meaningful question within a specific field of study or research area.

Example:

Bad hypothesis: "Plants need something to grow." (Too vague, not testable)

Good hypothesis: "Plants grown in sunlight will be taller than plants grown in the shade." (Testable, specific, falsifiable, based on prior knowledge)

Remember, a hypothesis is a starting point for research. It's meant to be tested and potentially revised or rejected as evidence accumulates.