Useful Prompts

Use real-time search to analyze keywords and search intent. By studying head terms, long-tail queries, trends, and SERP structure, assess real demand and intent type (informational, comparison, transactional, alternative). Provides evidence-based inputs for product evaluation, PR/FAQ, BRD, SEO, and growth strategy.

Use real-time search to conduct systematic competitive analysis. Identify real competitors from public, verifiable sources; compare positioning, capabilities, pricing, and go-to-market. Output actionable landscape judgments and opportunity analysis for product planning and business decisions.

Use real-time search to mine authentic user pain points and complaints. Analyze forums, social media, reviews, and user language to identify frequent, high-emotion, long-unresolved problems and workarounds. Provides user evidence for product evaluation, PR/FAQ, positioning, and viability judgment.

Use real-time search to analyze what users do instead of buying/using a product: generic tools, manual processes, outsourcing, or doing nothing. Assess whether the problem is severe enough and whether substitutes are already good enough, to judge real 0→1 opportunity.

Use real-time search to analyze domain occupancy and brand naming space for a product direction. Study existing naming patterns, domain availability, and naming congestion to judge whether there is still a clear, ownable brand mindshare space, and provide inputs for naming and market entry.

Use real-time search to assess commercialization signals and market maturity. Analyze pricing structures, funding/M&A dynamics, hiring signals, and public industry information to judge whether the market is validated by real paying behavior and to guide investment cadence and go/no-go decisions.

Use real-time search to evaluate growth and distribution feasibility. Analyze acquisition channels, SERP/content competition, distribution structure, and growth moats to judge whether the product has a low-cost, sustainable path to acquire users, supporting project and growth strategy decisions.

Use real-time search to analyze legal, regulatory, and platform-policy risks for a product direction. Study relevant laws, penalty cases, platform rules, and industry practices to identify fatal risks that could block launch, cause takedowns, or prevent scaling—supporting a clear bottom-line decision.

Use real-time search to analyze users' willingness-to-pay and pricing intuition. Study real user discussions about price, competitor pricing feedback, and payment resistance to judge whether users will pay and what psychological price range is acceptable, informing pricing strategy, business model, and project decisions.

For product kickoff, MVP validation, or key directional choices: evaluate demand reality, time-to-value, complexity, unit economics, moats, execution risk, and opportunity cost—then converge to a clear Continue / Adjust / Stop decision.

Write a BRD (Business Requirement Document) from a business perspective for founders/CEO/shareholders. Systematically analyze product definition, market status, resource investment, business model, and profit expectations to help leadership judge commercial feasibility and investment value during project initiation.

Use Amazon's Working Backwards method to write a PR/FAQ by assuming the product has launched successfully and reasoning backward from user value and pain points. Validate whether the product is worth building before kickoff, and make key assumptions and failure risks explicit.

Write an MRD (Market Requirements Document) from a market perspective for business/ops/marketing/product stakeholders. Analyze target market, users, competitive landscape, and market-level product overview; clarify market constraints and boundaries; and summarize into product/business/ops/marketing models to inform BRD/PRD and planning.

Define an MVP (Minimum Viable Product) and its validation path. Break down key assumptions, constrain scope to the minimum, and set clear success/failure criteria so the team can validate whether the direction works at minimal cost before committing to full development.

Define measurable success criteria, a North Star Metric representing long-term user value, and clear product boundaries (what NOT to build). Helps teams stay focused, prevent scope creep, and support clear Go/No-Go decisions during execution.

Define the product's overall shape in users' minds and the primary path to core value. By clarifying core interaction unit, key steps, and the aha moment, ensure design stays focused on a repeatable core value loop.

Plan a product roadmap by defining stages, goals, and risks. Clarify where to invest in each stage and what decision signals to watch, guiding investment cadence and supporting internal alignment and leadership communication.

Turn product planning into an executable requirements document by clarifying scope, user scenarios, functional and non-functional requirements, and acceptance criteria—so engineering can deliver reliably.

Break down the technical solution and architecture by mapping core flows, data and API design, and technical risks. Determine feasibility and implementation path, and provide inputs for task breakdown and scheduling.

Design the UX structure and interaction flow after the PRD is frozen. Use information architecture, page responsibilities, user flows, and state feedback design to ensure users can complete the core task with minimal cognitive load, and provide clear structural input for UI design and implementation.

After UX structure is confirmed, produce UI design and engineering handoff. Specify visual principles, component/state definitions, interaction specs, and delivery standards to ensure design is implemented accurately by engineering and QA, supporting PRD acceptance.

Design a product website's routing and URL structure using clear information architecture and semantic rules. Balance user comprehension, SEO indexability, and long-term maintenance cost; avoid route explosion and reflect product boundaries.

Break requirements into executable, deliverable engineering tasks and create a staged schedule. Specify task granularity, owners, dependencies, and critical path to make delivery predictable and trackable, and to expose risks early.

Define the testing and acceptance plan by specifying scope, acceptance criteria, key test cases, and defect handling rules. Judge whether the current version reaches deliverable quality and provide a clear Go/No-Go decision basis for release.

After testing and acceptance pass, define the release and launch plan: scope, strategy, execution steps, rollback/monitoring, and communications. Ensure changes ship to real users with controlled risk, enabling fast stop-loss and postmortems.

After release and an observation window, run a post-launch review of outcomes and key metrics. Evaluate success criteria and assumption validation, and output a clear recommendation (continue / adjust / stop) so investment decisions are based on facts rather than inertia.

Design a high-conversion landing page for a specific traffic source and user intent. By focusing on a single conversion goal and optimizing information order and persuasion logic, improve conversion from visit to action.

Create a long-term SEO structure and content strategy for a product website. Use search intent analysis, topic clustering, and page-type design to build durable search entry points and reinforce the product's primary journey.

Evaluate potential acquisition channels (SEO, content, social, communities, partnerships, paid ads, platform distribution, etc.). Use a unified rubric to output investment priority, a minimum validation plan, and clear Go/No-Go criteria to support resource allocation and growth decisions.

Analyze the funnel from entry to activation and conversion, identify the biggest drop-off points and root-cause hypotheses, and output prioritized improvements (impact × cost) with verifiable acceptance criteria to improve activation and conversion efficiency.

Create a content distribution and repurposing strategy. Split core content assets into multi-channel reusable formats, define channel fit, repurposing templates, cadence, and measurement to reduce marginal content cost and improve reach and conversion.

Design growth experiments and A/B tests by defining falsifiable hypotheses, single-variable changes, metric system, traffic split, and stop-loss rules. Ensure results are interpretable and support clear Go/No-Go decisions to reliably improve key growth metrics.

Design retention and return mechanisms by defining return triggers, value loops, and reach strategies. Combine user segmentation and risk controls to increase return frequency and long-term retention after first value, with measurable iteration directions.

Identify the growth model fit and core growth levers by analyzing growth sources, bottlenecks, and key variables. Output the growth bets to prioritize next, explicit trade-offs and risk hedges, and measurable milestones and decision conditions.

Build brand mindshare and differentiation assets by clarifying target users' decision criteria, core positioning, and evidence-backed differentiators. Generate reusable messaging modules and define validation/iteration methods to improve user understanding and selection efficiency.

Use a strict, rational critique framework to evaluate any content or plan. Identify core assumptions, logical gaps, blind spots, and likely failure paths; output a clear judgment and practical improvements to support rational decision-making and avoid self-deception or over-optimism.

Use the 5-Whys method to trace a problem’s causal chain and find systemic/structural root causes. Output actionable fixes and recurrence-prevention measures, avoiding surface-level or blame-based conclusions.

Decide whether a situation is worth standardizing into an SOP, and if so, design the SOP’s goals, scope, main flow, RACI roles, exception handling, and timing. Avoid over-processization and ensure long-term efficiency and organizational value.

Prioritize tasks using Peter Drucker’s principles from The Effective Executive. Focus on a few highest-contribution items, make explicit sequencing and trade-offs, and clearly mark what to defer or abandon to guide real allocation of time and attention.

Polish and improve workplace messages while keeping the original language. Improve professionalism, clarity, and appropriateness without changing facts or stance, so communication is smoother and progress is easier.

Polish messages sent to managers/leaders while keeping the original language, intent, and stance. Increase respectfulness, clarity, and safety; reduce misinterpretation/accountability risks; help leaders scan and decide quickly.

When receiving upsetting or seemingly unreasonable messages, provide emotional stabilization, fact/interpretation separation, softened intent hypotheses, rational and psychological analysis, graded response strategies, outcome simulation, and handling recommendations—so you stay rational and retain choices.

Generate a send-ready daily or weekly report from work logs in Markdown format, containing only two sections (Today/This Week and Tomorrow/Next Week). Highlight key progress, milestones, risks, and next steps for fast alignment and review.

Generate a clear, realistic, and selective job description by defining role goals, core responsibilities, real challenges, and success criteria—helping qualified candidates quickly assess fit and reducing misapplications and mismatches.

Do an early-stage resume screen against a JD to assess fit, positive and risk signals, and items to validate. Output a clear decision on whether to proceed to interview and what to focus on next to reduce screening cost and misjudgment risk.

Generate a multi-round interview plan and question set based on role and candidate context. Cover fundamentals, deep resume probing, case exercises, behavioral interviews, and culture/values. Auto-adjust scope by number of rounds and time per round; provide division of labor and scoring rubrics for consistency.

Turn vague requirements into a high-quality, reusable, constraint-driven prompt by designing role, goals, key constraints, and output structure—so output quality remains stable in real complex scenarios.

Compress conversations or long content into structured notes for long-term archiving and fast review.

A systematic concept explanation for beginners, balancing accessibility and academic rigor.

Generate durable URL routing (URL path) for a piece of content and produce platform-appropriate promo copy for Weibo and Twitter/X (Chinese + English), improving discoverability and shareability without distorting meaning.

A personalized global daily news briefing.