1. Chain-of-Thought Prompting
Ask ChatGPT to 'think step by step' or 'explain your reasoning'. This improves accuracy on complex tasks by making the model show its work rather than jumping to conclusions.
2. Few-Shot Learning
Provide examples of the input-output format you want. Show 2-3 examples before your actual request. This is especially powerful for formatting, classification, and consistent style.
3. Role and Persona Prompting
Assign a specific role: 'You are a senior software architect reviewing code' or 'You are a marketing strategist for B2B SaaS'. This primes relevant knowledge and appropriate response style.
4. Structured Output Prompts
Request specific formats: 'Respond in JSON with fields: title, summary, action_items' or 'Use markdown with H2 headers for each section'. Be explicit about structure.
Wrap-up
Combine these techniques for best results. A well-structured prompt with role-setting, examples, and step-by-step instructions consistently outperforms simple queries.