What “good prompts” contain: clarity, context, constraints, examples, and success criteria. Includes a scoring checklist and examples.
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On SenseCentral, we focus on practical, repeatable workflows. The fastest way to get great results from ChatGPT is to ask like a manager, not like a search engine: give context, define the goal, request an output format, and iterate.
The anatomy of a great prompt
A good prompt makes it easy to be correct and hard to be wrong by giving the model the right context and constraints.
- Clear goal
- Right context
- Constraints (tone, length, rules)
- Examples
- Success criteria (“include a table,” “must cite sources,” etc.)
A prompt quality scorecard
| Prompt element | Score 0–2 | What “2” looks like |
|---|---|---|
| Goal | 0 / 1 / 2 | Specific outcome + audience |
| Context | 0 / 1 / 2 | Inputs + constraints + background |
| Format | 0 / 1 / 2 | Table/checklist/steps specified |
| Examples | 0 / 1 / 2 | One strong example provided |
| Checks | 0 / 1 / 2 | Verification + assumptions requested |
Tip: If your prompt scores under 6/10, add missing parts.
Before vs after examples
Before (weak)
“Write ad copy for my product.”
After (strong)
“Write 5 ad variations for for [audience]. Constraints: 90 characters max, benefit-first, no hype claims. Provide: headline + primary text + CTA.”
Reusable prompt templates
| Use case | Copy‑paste prompt | Output you should ask for |
|---|---|---|
| Summarize | Prompt: Summarize this for [audience] in [length]. Include key points + action items + questions. | Reliable summaries |
| Generate options | Prompt: Give 10 options. Then rank the top 3 and explain why. | Better choice quality |
| Improve writing | Prompt: Rewrite for clarity and brevity. Keep meaning. Provide 2 tones: friendly and formal. | Controlled rewrites |
FAQ
Do I need to be polite?
Politeness is fine; clarity matters more than courtesy.
Should I add a role?
Only if it changes the output (e.g., “act as a lawyer” for tone/structure).
What if I don’t know what I want?
Ask ChatGPT to propose 3 interpretations and ask you which to pick.
Key Takeaways
- Lead with the outcome you want (not just the topic).
- Add context + constraints to prevent generic answers.
- Request a specific output format (table/checklist) for consistency.
- Iterate at least once: “tighten,” “expand,” then “verify.”
- Use SenseCentral resources and your own templates to scale results.
Useful resources and references
Internal links (SenseCentral)
- More SenseCentral posts about ChatGPT
- More SenseCentral posts about Prompt Engineering
- More SenseCentral posts about AI tools
Further reading (external)
- OpenAI Help: Best practices for prompt engineering (API)
- OpenAI Help: Prompt engineering best practices for ChatGPT
- OpenAI Help: How do I create a good prompt?
- OpenAI API: Prompt engineering guide
- PromptingGuide.ai: General tips for designing prompts
References: The links above include official OpenAI help documentation and an independent prompt engineering guide for general prompting principles.
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