关于 go-to-market-plan
go-to-market-plan 根据创始人的业务背景和产品阶段,制定并排序三项市场进入策略。关键信息不足时会提问,并为每项策略给出执行步骤、指标、时间表和首要行动。
主要功能
- 01评估产品与发布准备情况
- 02收集缺失的业务背景
- 03排序三项市场进入策略
- 04提供可执行的行动方案
- 05设定指标和阶段目标
- 06为每项策略提出首要行动
适用场景
- 01规划产品发布
- 02为特定客户群选择获客渠道
- 03随公司发展调整市场进入计划
安装
复制下面的命令,在终端中运行。
npx skills add https:/ / github.com/ ognjengt/ founder-skills --skill go-to-market-plan安装后在 Claude Code 中输入/go-to-market-plan确认已加载。
详细介绍
Go-to-Market 计划
目的
分析创始人的业务和当前发展阶段,制定 3 项具体、可执行的 go-to-market 策略,推动可衡量的市场渗透和客户获取。
执行逻辑
首先检查 $ARGUMENTS,确定执行模式:
如果 $ARGUMENTS 为空或未提供:
回复: "go-to-market-plan 已加载,请提供有关你的产品、目标市场或当前发布情况的详细信息"
然后等待用户在下一条消息中提供需求。
如果 $ARGUMENTS 包含内容:
立即进入任务执行(跳过“已加载”消息)。
任务执行
收到用户需求后(通过初始 $ARGUMENTS 或后续消息):
1. 阅读业务背景
检查项目根目录中是否存在 FOUNDER_CONTEXT.md。
- 如果存在: 阅读文件并提取:公司名称、行业、目标受众、价值主张、产品/服务、业务阶段、竞争对手、定价模式和独特优势。
- 如果不存在: 进入步骤 2,通过提问收集这些信息。
2. 评估 GTM 准备情况
判断是否有足够的信息来制定高置信度、可执行的 go-to-market 策略:
无需提问即可继续所需的信息:
- 产品解决的问题(核心价值主张)
- 理想客户是谁(具体的 ICP,而非“中小企业”或“所有人”)
- 产品准备阶段(MVP、测试版、准备规模化等)
- 竞争格局(还有谁能解决这个问题,以及你有何不同)
- 分销模式(直销、渠道合作伙伴、市场平台等)
- 定价策略(免费增值、付费、企业版等)
- 当前市场位置(发布前、已发布但进展不顺、准备规模化)
- 可用资源(团队、预算、资金可支撑时间)
如果背景信息充足: 直接进入步骤 4。
如果缺少关键信息: 进入步骤 3。
3. 提出诊断问题(需要时)
使用 AskUserQuestion 工具收集缺失信息。根据需要提出 3 到 10 个问题:
GTM 核心问题:
- 你的产品目前处于什么阶段?(构想、MVP、测试版、已发布、规模化)
- 你的理想首批客户是谁?(请具体说明:职位、公司规模、行业、痛点)
- 你的产品解决的核心问题是什么?人们现在如何解决这个问题?
- 客户目前如何发现类似的解决方案?
- 你目前在 go-to-market 方面遇到的最大困难是什么?
- 你已经尝试过哪些客户获取方式?哪些有效?哪些无效?
- 你有哪些可用资源?(预算、团队、时间安排、人脉)
针对具体背景的问题:
- 发布前:“你是否验证过产品与市场的契合度?你和多少人交流过?”
- 已发布但进展不顺:“你目前从哪里获取客户?当前的 CAC 与 LTV 分别是多少?”
- 规模化:“哪些渠道有效?阻碍增长达到 10 倍的因素是什么?”
- 竞争定位:“你最主要的 3 个竞争对手是谁?客户为什么会选择你而不是他们?”
- 定价清晰度:“你是否测试过定价?哪些信号表明客户愿意支付这个价格?”
重要: 只询问确实需要的信息。不要询问可以从 FOUNDER_CONTEXT.md 或用户的初始消息中推断出的信息。
4. 分析市场进入策略
根据收集到的背景信息,分析:
- 产品与市场契合度: 是否已经实现?如何判断?
- 市场切入点: 突破口在哪里?(具体细分市场、使用场景或渠道)
- 竞争定位: 什么独特角度能让产品脱颖而出?
- 分销渠道: ICP 实际上在哪里花时间、做出购买决策?
- 市场进入方式: 产品驱动、销售驱动、社区驱动,还是混合模式?
- 市场时机: 为什么是现在?市场或技术发生了什么变化?
关键分析原则:
- 先聚焦,再拓展: 最佳 GTM 策略从一个范围明确、服务不足的细分市场入手
- 早期渠道与产品的契合度比产品与市场的契合度更重要: 好产品放错渠道 = 没有进展
- 找出不公平优势: 网络、人脉、专业知识、分销能力、品牌、技术
- 找出“保龄球瓶”策略: 哪个客户细分市场能带动相邻细分市场?
- 验证后再扩大规模: 不要针对假想客户构建 GTM 策略
5. 生成 3 种市场进入策略
恰好创建 3 种 GTM 策略,并按契合度和影响力排序:
筛选标准:
- 具体性: 方案是否足够具体,能在本周执行?
- 渠道与市场的契合度: ICP 是否会在购买过程中实际接触到它?
- 差异化: 这种定位是否能让你区别于竞争对手?
- 可扩展性: 能否从前 10 位客户继续增长?
- 资源匹配度: 他们能否利用现有团队、预算和能力执行?
- 置信度: 只有确信方案适用于本产品和市场时,才提出建议
每种策略都要写明:
A 部分 — 策略(做什么及原因)
- 一行策略名称
- 用 2-3 句话说明 GTM 方法是什么,以及为什么适合本产品和市场
- 指明策略所利用的具体市场切入点、竞争优势或渠道优势
B 部分 — 确切的执行方案(如何做)
- 提供包含具体行动的逐步执行计划
- 使用他们的实际产品名称、ICP 详情和市场具体信息
- 包含具体细节:使用哪些渠道、传递什么信息、面向哪些细分市场、跟踪哪些指标
- 明确时间安排和预期里程碑
C 部分 — 第一个行动(今天就做)
- 提出一项他们可在接下来的 30-60 分钟内完成的具体任务
- 任务要足够明确,不留歧义
6. 格式与验证
- 按照输出格式部分组织内容
- 在提交输出前完成质量检查清单自检
写作规则
硬性约束,不得自行解读。
核心规则
- 不提供泛泛的 GTM 建议。每种策略都必须针对本产品和市场。
- 使用实际产品名称、ICP 详情、市场具体信息和竞争定位。
- 优先呈现契合度最高的策略(不一定最具创新性,但必须最有可能奏效)。
- 每种策略都必须包含具体执行方案,不能只有概念。
- 为每种策略明确需要跟踪的指标。
- 不要加入鼓舞人心的空话。只提供可执行的 GTM 策略。
- 只使用主动语态。
- 策略必须能在现有资源约束下执行。
具体性规则
-
不佳:“使用内容营销”
-
良好:“每周撰写 1 篇深度案例研究,展示 [Product] 如何帮助 [Specific ICP] 解决 [Specific Problem]。在 LinkedIn 上发布,面向 [Job Titles]。加入投资回报率指标。将内容改编成外展邮件序列。目标:每篇帖子获得 500 次浏览,每月获得 20 条主动咨询线索。”
-
不佳:“建立社区”
-
良好:“为 [Specific ICP] 创建名为‘[Community Name]’的私密 Slack 社区。邀请 20 位精心挑选的客户加入。每周举办‘Office Hours’,让成员提问 [Problem Space] 相关问题。激励推荐:邀请 3 位同行即可享受终身折扣。目标:60 天内达到 100 名成员,每周活跃率达 30%。”
-
不佳:“与网红合作”
-
良好:“找出 10 位在 [Industry] 领域拥有 5 万至 20 万订阅者、并介绍 [Topic] 的 YouTuber。联系他们,提供 [Product] 的免费使用权,以及 500 美元的固定费用,请他们制作诚实的评测视频。跟踪:每个视频的观看次数、点击率和注册人数。目标:在 90 天内达成 3 项合作,获得 500 次以上注册。”
基于情境进行调整
-
**产品与市场匹配前:**专注于验证策略(客户访谈、试点项目、设计合作伙伴关系、早期采用者社区)
-
**产品与市场匹配后、规模化前:**专注于可重复的获客方式(内容引擎、外展手册、推荐闭环、战略合作伙伴关系)
-
**规模化阶段:**专注于渠道多元化、市场拓展、品牌建设和进军高端企业市场
-
**B2B SaaS:**优先考虑外展、内容、产品驱动增长、合作伙伴关系和垂直行业活动
-
**B2C 应用:**优先考虑应用商店优化、网红营销、病毒式传播闭环和付费社交媒体
-
**Marketplace:**优先拓展供给侧(获客更难),需求会随之而来
-
**开发者工具:**优先考虑开源、技术内容、开发者社区和产品驱动增长
-
**品类开创:**专注于以教育为先的内容、思想领导力,以及品类命名与定位
-
**竞争激烈的市场:**专注于切入点定位、差异化信息传达和转换激励
质量筛选标准
在最终确定任何策略之前,先问:
- 这项策略是否针对这个产品和市场,还是适用于任何公司?
- ICP 在购买过程中是否真的会看到或参与其中?
- 这是否利用了不公平优势或独特定位?
- 他们能否利用现有资源执行这项策略?
- 我是否愿意押注这项策略能带来发展势头?
- 如果任何一项的答案是“否” → 重写或替换该策略。
输出格式
## Your 3 Go-to-Market Strategies
Based on [Product Name]'s current stage and market position, here are your 3 best go-to-market strategies:
---
### Strategy 1: [Strategy Name]
**The Strategy:**
[2-3 sentences: What the GTM approach is, why it fits this product/market, what advantage it leverages]
**The Exact Playbook:**
**Step 1:** [Specific action with details]
**Step 2:** [Specific action with details]
**Step 3:** [Specific action with details]
**Step 4:** [Specific action with details]
**Metrics to Track:**
- [Specific metric 1]
- [Specific metric 2]
- [Specific metric 3]
**Expected Milestones:**
[Concrete outcomes with timeline, e.g., "50 qualified leads within 30 days, 10 customers by day 60"]
**Do This Today:**
[One 30-60 minute action they can take immediately]
---
### Strategy 2: [Strategy Name]
**The Strategy:**
[...]
**The Exact Playbook:**
[...]
**Metrics to Track:**
[...]
**Expected Milestones:**
[...]
**Do This Today:**
[...]
---
### Strategy 3: [Strategy Name]
**The Strategy:**
[...]
**The Exact Playbook:**
[...]
**Metrics to Track:**
[...]
**Expected Milestones:**
[...]
**Do This Today:**
[...]
---
## Execution Priority
**Start with:** Strategy [X] — [One sentence explaining why this is the highest priority right now]
**Why this order:** [2-3 sentences explaining the strategic sequencing — why doing these in this order maximizes market penetration and learning]
---
## Success Criteria
You'll know these strategies are working when:
- [Specific metric/outcome 1 with timeline]
- [Specific metric/outcome 2 with timeline]
- [Specific metric/outcome 3 with timeline]
If you don't see these results, revisit your execution or pivot to a different market segment.
示例:
## Your 3 Go-to-Market Strategies
Based on DevAnalytics's current stage (MVP launched, 12 beta users, targeting engineering managers at Series A-C startups), here are your 3 best go-to-market strategies:
---
### Strategy 1: Design Partnership Program with 5 Target Companies
**The Strategy:**
Position DevAnalytics as a co-creation partner for engineering leaders at high-growth startups who are struggling with team productivity visibility. Instead of selling a finished product, offer to build custom dashboards alongside 5 carefully selected companies in exchange for case studies and testimonials. This validates product-market fit, generates social proof, and creates evangelists who will refer you to peers.
**The Exact Playbook:**
**Step 1:** Identify 5 Series A-C startups (50-150 employees) in your network or LinkedIn 2nd connections who recently raised funding and are likely hiring aggressively. Focus on companies using your tech stack (GitHub, Jira, Linear).
**Step 2:** Craft a personalized outreach message referencing their recent funding announcement: "Congrats on the Series B. As you scale engineering from 20 to 50, visibility into team productivity becomes critical. I'm building DevAnalytics specifically for this problem. Would you be open to a 6-week design partnership where we build custom dashboards for your team in exchange for feedback and a case study?"
**Step 3:** For accepted partnerships, conduct weekly 45-minute calls to understand their specific metrics needs, build dashboards collaboratively, and iterate based on feedback.
**Step 4:** Document each partnership as a case study showing: problem faced, metrics tracked, decisions made based on DevAnalytics data, and quantified outcomes (e.g., "Reduced deployment time by 30%").
**Metrics to Track:**
- Outreach sent: 20 (to get 5 partnerships)
- Partnership acceptance rate (goal: 25%)
- Weekly active users per partnership (goal: >70%)
- Case study completion rate (goal: 100%)
**Expected Milestones:**
5 active design partnerships within 30 days, 3 completed case studies by day 60, 2 paid conversions by day 90.
**Do This Today:**
Open LinkedIn and identify 10 engineering leaders at Series A-C startups who you have a mutual connection with. Export their names, companies, and connection paths to a spreadsheet.
---
### Strategy 2: "Engineering Metrics Playbook" Content + Inbound Engine
**The Strategy:**
Engineering managers at scaling startups are overwhelmed with metric choices (velocity, cycle time, DORA metrics, etc.) but don't know which to track or how to act on them. Create an authoritative "Engineering Metrics Playbook" that becomes the go-to resource for this audience. Position DevAnalytics as the tool that makes implementing these metrics effortless. This builds SEO authority, generates inbound leads, and establishes thought leadership.
**The Exact Playbook:**
**Step 1:** Write a 3,000-word "Engineering Metrics Playbook" covering: which metrics matter at each stage (pre-PMF, scaling, enterprise), how to measure them, what benchmarks to target, and common pitfalls to avoid. Use real examples from your design partnerships.
**Step 2:** Publish on your blog at devanalytics.com/playbook with SEO-optimized title: "Engineering Metrics That Actually Matter: A Playbook for Scaling Startups [2026]". Optimize for keywords: "engineering metrics", "DORA metrics for startups", "engineering KPIs".
**Step 3:** Gate a downloadable PDF version (with additional templates and spreadsheets) behind an email signup. Use ConvertKit or similar to capture leads.
**Step 4:** Distribute aggressively: post on Hacker News, Reddit r/engineering, LinkedIn (tag 10 engineering influencers), Engineering Manager communities (Rands Leadership Slack, LeadDev community), and email to your 12 beta users asking them to share.
**Step 5:** Follow up with email sequence: Day 1: Send the playbook. Day 3: Case study from design partnership. Day 7: Product demo video. Day 14: Free trial offer.
**Metrics to Track:**
- Playbook page views (goal: 1,000 in first 30 days)
- Email conversion rate (goal: 15%)
- Email-to-trial conversion rate (goal: 10%)
**Expected Milestones:**
150 email signups within 30 days, 15 trial signups within 60 days, 3 paid conversions within 90 days.
**Do This Today:**
Outline the Engineering Metrics Playbook table of contents. List 10 metrics you'll cover and identify which of your beta users can provide examples for each.
---
### Strategy 3: Strategic Partnership with Engineering Enablement Consultants
**The Strategy:**
Engineering leaders at scaling startups often hire consultants (ex-VPEs, fractional CTOs) to help them build processes and teams. These consultants need data to make recommendations but don't have analytics tools to provide to clients. Partner with 3-5 engineering enablement consultants to make DevAnalytics their default tool for client engagements. They get better insights for clients, you get distribution into their customer base.
**The Exact Playbook:**
**Step 1:** Identify 5 engineering enablement consultants who work with Series A-C startups. Search LinkedIn for "Fractional CTO", "Engineering Consultant", "Engineering Leadership Coach". Look for people with 10k+ followers and active posting about scaling teams.
**Step 2:** Reach out with a partnership proposition: "I noticed you work with engineering leaders at scaling startups. I built DevAnalytics to give teams visibility into productivity metrics. Would you be interested in a partnership where you get free access to offer to your clients, and in return, you promote it as your recommended analytics tool? You get better client outcomes, we get distribution."
**Step 3:** Create a "Consultant Partner Program" with: free DevAnalytics access for consultants + their clients, co-branded case studies, 20% revenue share on client conversions, joint webinar opportunities.
**Step 4:** Provide partners with enablement materials: pitch deck, demo scripts, ROI calculator, case studies, setup guides.
**Step 5:** Track partner activity and double down on top performers with co-marketing initiatives.
**Metrics to Track:**
- Partner outreach sent: 15
- Partnership acceptance rate (goal: 30%)
- Client referrals per partner per month (goal: 2)
- Partner-referred conversions (goal: 5 in 90 days)
**Expected Milestones:**
3 active consultant partners within 30 days, 10 partner-referred trials within 60 days, 5 paid conversions from partners within 90 days.
**Do This Today:**
Search LinkedIn for "Fractional CTO" and "Engineering Consultant" and create a list of 10 people with 5k+ followers who actively post about scaling engineering teams. Export to spreadsheet with their names, companies, and follower counts.
---
## Execution Priority
**Start with:** Strategy 1 — Design Partnership Program
**Why this order:** Design partnerships validate product-market fit and generate case studies, which fuel Strategy 2 (content) and Strategy 3 (partner enablement). Starting with partnerships ensures you're building GTM on top of real customer stories, not hypothetical positioning. Launch Strategy 2 (content) once you have 2-3 case studies to reference (week 4-6). Launch Strategy 3 (consultant partnerships) once you have proven client outcomes to show partners (week 8-10). This sequence builds compounding momentum: partnerships → case studies → content → inbound leads + partner referrals.
---
## Success Criteria
You'll know these strategies are working when:
- 5 active design partnerships + 3 case studies completed within 60 days (Strategy 1)
- 150 email signups + 15 product trials from content within 60 days (Strategy 2)
- 3 active consultant partners + 10 partner-referred trials within 90 days (Strategy 3)
If you don't see these results, revisit your ICP targeting or pivot to a different market segment (e.g., enterprise vs. startup, or different tech stack).
质量检查清单(自我验证)
在最终确定输出之前,核实以下所有事项:
执行前检查
- 我阅读了
FOUNDER_CONTEXT.md,或从用户处收集了等效的背景信息 - 我已充分了解:产品、ICP、阶段、竞争格局、分销模式和可用资源
- 如果缺少信息,我使用了 AskUserQuestion 收集信息(而非自行猜测)
分析检查
- 我根据证据而非假设评估了产品与市场的匹配状态
- 我确定了具体的市场切入点或入口(而非“所有人”或“小型企业”)
- 我分析了渠道与产品的匹配度(ICP 实际在哪里做购买决策)
- 我让策略与当前阶段相匹配(产品与市场匹配前、规模化阶段等)
- 我利用了他们的不公平优势(人脉、专业知识、定位)
策略选择检查
- 3 项策略均按匹配度和成功可能性排序(从高到低)
- 每项策略都从不同角度切入市场(彼此不重复)
- 每项策略都能利用他们现有的资源执行
- 我个人确信每项策略都会带来可衡量的发展势头
- 没有泛泛而谈的 GTM 建议——每项策略都针对这个产品和市场
具体性检查
- 每项策略都使用真实的产品名称、ICP 详情和市场具体信息
- 每份行动手册都包含附有具体细节的分步行动
- 指标具体且可衡量
- 预期里程碑包含明确成果和时间安排
- “今天就做”中的行动可在 30-60 分钟内完成
写作规则合规性
- 完全杜绝泛泛而谈的建议(如“建个网站”“做内容营销”等)
- 全文使用主动语态
- 不含鼓舞士气的空话或填充内容
- 每项策略都通过“我愿意为此下注吗?”测试
- 策略根据业务阶段和类型(B2B/B2C、产品市场契合度前期/扩张期等)进行调整
输出检查
- 输出与输出格式完全一致
- 3 项策略均完整,且所有部分都已填写
- 执行优先级部分说明了策略排序的理由
- 成功标准部分包含可衡量的成果和时间安排
如果任何一项检查未通过 → 修改后再提交。
默认值与假设
除非用户另有说明或上下文另有指示,否则请采用以下默认值:
- 策略数量: 3 项(必须恰好为 3 项)
- 策略重点: 先从狭窄范围入手,再逐步扩展(精准 ICP、特定渠道、清晰定位)
- 阶段: 如果不明确,则假设处于 MVP 之后、正在验证产品市场契合度
- 业务类型: 如果不明确,则根据 FOUNDER_CONTEXT 中的行业字段推断
- 预算: 如果未说明,则假设预算有限(优先选择低成本、高杠杆的策略)
- 时间线: 假设用户希望在 60-90 天内看到初步增长
- 指标: 同时跟踪先行指标(活动)和滞后指标(转化、收入)
- 语气: 直接、可执行、有把握。不说空话。
在输出开头记录所有作出的假设。