24 Proven Prompt Formulas to Unlock DeepSeek’s Full Potential

Many users of the domestic large model DeepSeek receive “correct nonsense”; by adjusting the way questions are asked, the assistant can produce expert‑level solutions. After three months of intensive use, the author compiled a unique set of prompting techniques.

1. Basic Prompt Formulas (For All Users)

1. Role‑Playing Method

Formula: [Role] + [Task] + [Output Requirement] . Example: “As a senior product manager, analyze user psychology of WeChat red packets and present key insights in a table.” Scenario: quickly obtain professional perspectives during competitor analysis or solution planning.

2. Step‑by‑Step Decomposition

Formula: “Please explain in 5 steps __, each step including common pitfalls.” Example: “Please explain short‑video script creation in 5 steps, each with common pitfalls.” Scenario: building systematic understanding when learning a new skill.

3. Reverse Questioning

Formula: “If I want to achieve __, which practices must be avoided?” Example: “If I want to develop a cross‑border e‑commerce SaaS system, which technology choices must be avoided?” Scenario: mitigating risks before major decisions.

2. Advanced Prompt Techniques (Essential for Professionals)

4. Cross‑Disciplinary Transfer

Formula: “Use the theory of __ to solve the problem of __.” Example: “Use the ‘flanking maneuver’ from military tactics to design a marketing plan.” Scenario: breaking through traditional solution bottlenecks.

5. Constraint‑Based Method

Formula: “Under __ constraints, how to optimally achieve __?” Example: “Within a budget of 500 CNY, design a viral referral campaign that acquires 1,000+ users.” Scenario: innovating when resources are limited.

6. Comparative Analysis

Formula: “Compare __ across __ dimensions with __.” Example: “Compare membership system and points system across user stickiness, conversion efficiency, and operational cost.” Scenario: rapid evaluation when choosing between solutions.

3. Professional‑Level Efficiency Formulas (For Developers & Creators)

7. Code Optimization Template

Prompt: “Please refactor the following Python code: [paste code], requirements: ① PEP8 compliance ② Time‑complexity improvement ③ Add exception handling.” Reported effect: saves 60 % of code‑review time.

8. New Media Creation Formula

Prompt: “Generate 10 viral titles about __, requiring: ① numbers ② suspense ③ TikTok‑style.” Example: an education influencer produced a video with millions of views.

9. Data Analysis Command

Prompt: “Analyze the following sales data: [paste data]; please ① identify outliers ② create trend charts ③ propose three improvement suggestions.” Effect: completes a two‑hour analysis in five minutes.

4. High‑Level Thinking Formulas (For Managers)

10. Second‑Order Thinking

Prompt: “When most people think __, what overlooked counter‑intuitive opportunities might exist?” Example: an investor discovered a new Web3 niche.

11. Spatiotemporal Shift

Prompt: “If the problem __ occurred in Shanghai in 2023, how would the solution differ?” Example: applying Singapore’s public housing policy to a Chinese megacity.

12. First‑Principles Inquiry

Prompt: “Setting aside existing solutions, what is the most fundamental need of __?” Example: product teams restructured user‑need documents.

5. Domain‑Specific Templates (Industry‑Specific Solutions)

13. Education Coaching Template

Prompt: “Design a 30‑minute __ lesson plan with ① three interactive segments ② Feynman technique ③ tailored to middle‑school attention spans.” Result: student accuracy improved by 40 %.

14. Business Decision Framework

Prompt: “As a CEO of the __ industry facing __ trend, devise short‑term (1 month), mid‑term (1 year), and long‑term (5 years) strategies.” Example: a new‑energy car maker responding to solid‑state battery breakthroughs.

15. Legal Document Assistant

Prompt: “Rewrite the following contract clause: [original]; ① simplify language ② highlight risks ③ suggest alternatives.” Measured outcome: legal review speed increased threefold.

6. Thought‑Breaking Toolbox

16. Hypothetical Scenario

Prompt: “Assume __ condition holds (e.g., policy liberalization, tech breakthrough, cost zero), what disruptive changes would occur in the __ field?” Example: consulting firm reimagined retail logistics.

17. Metaphor Thinking

Prompt: “Explain __ using the metaphor of __, revealing at least three deep similarities.” Example: comparing the Yangtze ecosystem to internet platform governance.

18. Reverse Engineering

Prompt: “Given a successful case of __, identify six key factors and design validation methods.” Scenario: quickly dissect a competitor’s hit product.

7. Precise Expression Pack

19. Dimensional Reduction Explanation

Prompt: “Explain __ to the __ audience (e.g., elementary students, investors) using a specific analogy and limiting to three key points.” Example: using “parcel delivery” to explain blockchain to government officials.

20. Meeting Management Command

Prompt: “For a brainstorming on __, list ten counter‑intuitive ideas, design a voting filter, and generate a Gantt‑chart template.” Result: compresses a two‑hour meeting into 40 minutes.

21. Multimodal Creation

Prompt: “For the theme __, simultaneously produce: ① story script ② storyboard sketches ③ share‑worthy punchlines.” Example: a travel account generated promotional material for an ancient town.

8. Advanced Cognitive Upgrade

22. Variable Control

Prompt: “Keep __ constant, vary __, and predict five chain reactions.” Example: keeping housing prices stable while adjusting school‑district policy.

23. Risk Hedging Inquiry

Prompt: “When implementing __ plan, how to build three risk firewalls at different stages?” Scenario: startup preparing for financing.

24. Cognitive Folding Command

Prompt: “Compress the professional methodology of __ into a three‑sentence actionable guide for a team.” Example: simplifying OKR into a morning‑meeting mantra.

By combining multiple formulas, users can achieve synergistic effects, such as the example of a psychologist using role‑play, cross‑disciplinary transfer, step‑by‑step decomposition, and reverse thinking to craft a five‑step defense plan for workplace PUA victims.

Data shows that structured prompting raises DeepSeek’s effective information density by 83 % compared with unstructured queries, especially in feasibility, logical rigor, and creative uniqueness.