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钉钉换帅 前路何往?

作者:戴珂 文章来源:tobesaas

2026-06-15 14:41

作者:戴珂 文章来源:tobesaas

2026-06-15 14:41

邦小白快读

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本文核心梳理了钉钉发展多年的历程,拆解了钉钉“每次选对战略方向却始终无法深耕到底”的发展悖论,同时对换帅后的未来走向给出了预测,核心干货如下:

1. 钉钉起家靠考勤打卡、流程审批等轻量化管理工具切入中小企服赛道,快速积累了千万级客户,形成基本盘,但也被固化“企业管理工具”标签,受限于协同办公赛道空间有限,长期陷入增长瓶颈。

2. 钉钉先后经历三次战略转型,分别转向企业数字化生态平台、AI原生战略,每次都精准踩中行业趋势,但每次都在即将突破时因换帅中断战略推进。

3. 此次换帅后,钉钉大概率不会被新任CEO之前主导的AI产品MuleRun取代,最可行的路径是整合前两任战略成果,走双轨生态模式。

本文对钉钉发展历程的复盘,对To B品牌的战略规划、品牌建设、赛道选择有诸多可参考的干货,具体如下:

1. 品牌心智建设方面,早期精准定位能帮助品牌快速切入赛道积累用户,但也要警惕固化心智限制后续扩张,钉钉就是被早期“企业管理工具”的标签限制,长期无法突破增长天花板。

2. 战略布局方面,选对赛道只是第一步,坚定深耕才能收获成果,钉钉三次精准踩中SaaS生态、AI原生等行业风口,却因频繁换帅、战略摇摆多次错失突破机会。

3. 赛道趋势方面,当前To B企业服务的核心增长方向是AI原生+垂直业务生态化,To B品牌的核心竞争力是对行业业务的深度理解,而非单纯的技术能力。

本文梳理了钉钉发展过程中的经验教训,对从事企业服务相关业务的卖家,有明确的机会提示、风险提醒和可借鉴经验,具体如下:

1. 市场机会方面,当前企业服务赛道的核心增长机会在AI原生垂直业务、企业Agent生态领域,钉钉已经跑通AI原生垂直场景试点,在法律服务场景中对律所全流程业务覆盖率突破85%,证明该路线完全可行。

2. 风险提示方面,要警惕早期定位固化限制长期增长,同时选对战略后要保持延续性,不能频繁调整方向,否则哪怕精准踩中风口,也无法抓住增长机遇。

3. 运营层面可学习双轨模式:一边守住现有成熟业务基本盘,保障短期营收,一边独立孵化新业务新方向,平衡短期生存和长期增长。

本文对企业数字化发展的梳理,对传统工厂推进数字化转型、挖掘新商业机会有不少启示,具体干货如下:

1. 工厂数字化转型的正确方向是AI原生重构业务流程,而非用AI技术改造原有流程,钉钉的转型经验显示,只有从底层重构业务逻辑,才能真正解决工厂数字化的核心痛点,存量改造很难带来实质突破。

2. 工厂推进数字化不需要完全自研,可依托成熟的企业数字化平台,接入第三方AI生态,低成本实现自身业务的智能化升级,降低转型的资金和技术门槛。

3. 钉钉拥有千万级企业客户基础、丰富的行业数据,未来开放AI生态后,能为工厂对接需求、实现产销数字化升级提供支撑,工厂可提前关注这类头部平台的生态开放机会。

本文梳理了国内企业服务SaaS行业的发展现状与未来趋势,能帮助企业服务服务商明确方向、抓住机会,具体干货如下:

1. 行业发展趋势方面,当前企业服务已经从早期的协同办公提效,转向深度业务数字化,生态化SaaS的增长空间远大于单一自研产品,按照Salesforce的数据,生态伙伴创造的市场规模是平台自身营收的6.2倍,增长潜力极大。

2. 客户核心痛点方面,目前多数企业的AI转型只是存量改造,并没有从底层重构业务逻辑,无法满足垂直行业的核心业务需求,真正的AI原生垂直场景产品存在很大市场缺口。

3. 可行的发展路径是依托头部平台的生态,入驻独立Agent智能市场,依托平台的客户基础和数据资源落地垂直行业方案,降低自身的获客和研发成本。

本文复盘了钉钉的发展得失,对做To B企业服务平台的运营商,在战略规划、平台运营方面有很多值得借鉴的经验,具体如下:

1. 平台生态战略层面,要明确生态是平台的核心增长引擎,不能过度依赖自研挤压第三方生态的成长空间,钉钉第一次转型做生态时,坚持自研为主大包大揽,挤压了第三方伙伴的生存空间,错失了快速做大产业规模的最佳时机。

2. 平台运营层面,可借鉴双轨运营模式:保留升级原有传统应用市场稳住现有基本盘,保障短期营收和客户留存,同时搭建独立的AI原生Agent市场,独立商业化运营孵化新业务,平衡短期收益和长期增长。

3. 战略管理层面,要保持战略延续性,选对方向后要坚持深耕,避免频繁换帅导致战略中断,哪怕方向正确也无法实现最终突破。

本文复盘了钉钉多年的发展历程,总结了国内SaaS行业发展的新动向、新问题,对产业研究具备较高的参考价值,具体干货如下:

1. 产业新动向方面,国内企业服务赛道已经完成三轮迭代:从早期的协同办公工具,到生态化企业数字化平台,再到当前的AI原生企业服务平台,AI Agent已经成为行业公认的核心发展方向,钉钉已经在垂直场景验证了AI原生路线的可行性。

2. 行业新问题方面,国内头部SaaS平台普遍存在战略延续性不足的问题,多次出现精准踩中赛道却无法坚持深耕、中途换挡的情况,同时早期品牌心智固化,也是平台突破增长瓶颈的核心障碍。

3. 商业模式方面,可参考对标Salesforce的生态化双轨运营模式,通过开放第三方生态撬动数倍于自身营收的产业规模,同时用双轨运营平衡短期营收和长期创新增长。

声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

This article sorts out DingTalk's multi-year development history, unpacks the development paradox of DingTalk: "it has chosen the right strategic direction every time, yet never followed through on deep cultivation", and offers a forecast for its future after the recent CEO change. Key takeaways are as follows:

1. DingTalk initially entered the SME enterprise services segment with lightweight management tools such as attendance checking and workflow approval. It quickly accumulated tens of millions of customers to build its core user base, but was also permanently labeled as an "enterprise management tool". Constrained by the limited market size of the collaborative office track, it has long been stuck in a growth bottleneck.

2. DingTalk has undergone three strategic transformations, shifting toward an enterprise digital ecosystem platform, followed by an AI-native strategy, each time accurately catching industry trends. Yet every time, strategic progress was interrupted by leadership turnover right as a breakthrough was within reach.

3. Following the latest CEO change, DingTalk is unlikely to be replaced by MuleRun, the AI product previously led by the new CEO. The most viable path forward is to integrate the strategic outcomes of the two previous leadership cycles and adopt a dual-track ecosystem model.

This article's retrospective analysis of DingTalk's development offers many actionable insights for To B brand strategic planning, brand building, and track selection. Key takeaways are as follows:

1. For brand positioning and mindshare building: Accurate early positioning helps a brand quickly enter the market and accumulate users, but brands must guard against rigid positioning that limits future expansion. DingTalk was held back by its early "enterprise management tool" label, and has long been unable to break through its growth ceiling.

2. For strategic布局: Choosing the right market is only the first step; sustained deep cultivation is required to deliver results. DingTalk accurately caught industry waves including SaaS ecosystem and AI-native three times, but repeatedly missed breakthrough opportunities due to frequent leadership turnover and strategic inconsistency.

3. For market trend assessment: The core growth direction of today's To B enterprise services is AI-native plus vertical business ecosystem. The core competitiveness of To B brands lies in deep understanding of industry business operations, not purely technical capability.

This article sorts out the lessons from DingTalk's development, and provides clear opportunity hints, risk warnings and actionable lessons for sellers engaged in enterprise service-related businesses. Key takeaways are as follows:

1. For market opportunities: The core growth opportunities in today's enterprise service track lie in AI-native vertical businesses and enterprise Agent ecosystems. DingTalk has already validated its AI-native vertical scenario pilot, achieving over 85% coverage of full-process law firm operations in the legal service scenario, proving that this path is fully feasible.

2. For risk warnings: Be wary of early positioning solidification limiting long-term growth. Once you select the right strategy, maintain continuity, and do not adjust direction frequently. Otherwise, even if you accurately catch industry trends, you will not be able to seize growth opportunities.

3. For operations, the dual-track model is worth learning: Keep your core mature business stable to guarantee short-term revenue, while independently incubating new businesses and new directions, to balance short-term survival and long-term growth.

This article's analysis of enterprise digital development offers many insights for traditional factories advancing digital transformation and unlocking new business opportunities. Key takeaways are as follows:

1. The correct direction for factory digital transformation is to reconstruct business processes with AI-native architecture, rather than retrofitting existing processes with AI technology. DingTalk's transformation experience shows that only reconstructing business logic from the bottom up can truly solve the core pain points of factory digitalization; retrofitting existing systems rarely delivers substantial breakthroughs.

2. Factories do not need to build all digital capabilities in-house. They can rely on mature enterprise digital platforms, access third-party AI ecosystems, achieve intelligent business upgrades at low cost, and lower the capital and technical barriers to transformation.

3. With a base of tens of millions of enterprise customers and rich industry data, DingTalk will be able to support factories in demand matching and digital upgrading of production and sales after it opens its AI ecosystem. Factories can monitor ecosystem opening opportunities from such leading platforms in advance.

This article sorts out the current status and future trends of China's enterprise SaaS industry, helping enterprise service providers clarify direction and seize opportunities. Key takeaways are as follows:

1. For industry development trends: The enterprise service sector has evolved from early-stage collaborative office efficiency improvement to deep business digitalization. Ecosystem-based SaaS offers far greater growth potential than standalone in-house developed products. According to Salesforce data, the market size created by ecosystem partners is 6.2 times the platform's own revenue, representing enormous untapped growth.

2. For core customer pain points: Most current corporate AI transformations are just retrofits of existing systems, rather than bottom-up reconstruction of business logic, and cannot meet the core business needs of vertical industries. There is a large market gap for genuine AI-native vertical scenario products.

3. A viable development path is to join an independent intelligent Agent marketplace built on a leading platform's ecosystem, leverage the platform's customer base and data resources to deliver vertical industry solutions, and reduce your own customer acquisition and R&D costs.

This article retroactively analyzes DingTalk's development wins and missteps, offering many valuable lessons for strategic planning and platform operations for To B enterprise service platform operators. Key takeaways are as follows:

1. For platform ecosystem strategy: Ecosystem is the core growth engine of a platform; you should not over-rely on in-house development and crowd out the growth space of third-party ecosystem players. When DingTalk first transformed to build an ecosystem, it prioritized in-house development and took on everything, squeezing out the living space of third-party partners and missing the best window to rapidly scale the industry.

2. For platform operations, the dual-track operation model is worth learning: Retain and upgrade the original traditional app marketplace to stabilize your existing core business, guarantee short-term revenue and customer retention, while building an independent AI-native Agent marketplace with independent commercial operation to incubate new business, balancing short-term returns and long-term growth.

3. For strategic management: Maintain strategic continuity; once you have chosen the right direction, stick to deep cultivation. Avoid strategic interruptions from frequent leadership turnover, which can prevent you from delivering a final breakthrough even when the direction is correct.

This article reviews DingTalk's multi-year development and summarizes new trends and new issues in China's domestic SaaS industry, offering high reference value for industrial research. Key findings are as follows:

1. For new industry trends: China's enterprise service track has completed three rounds of iteration: from early-stage collaborative office tools, to ecosystem-based enterprise digital platforms, and today's AI-native enterprise service platforms. AI Agent has become the industry's widely recognized core development direction, and DingTalk has already validated the feasibility of the AI-native path in vertical scenarios.

2. For new industry problems: Leading domestic SaaS platforms generally suffer from insufficient strategic continuity. Many have accurately selected the right market, but failed to stick to deep cultivation and shifted direction mid-course. In addition, rigid early brand positioning is also a core barrier for platforms seeking to break through growth bottlenecks.

3. For business models, the ecosystem-based dual-track operation model benchmarked against Salesforce is a valuable reference. Opening up to third-party ecosystems can unlock an industry scale several times the platform's own revenue, while dual-track operation balances short-term revenue and long-term innovative growth.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

回顾钉钉多年发展轨迹,会发现一个极具戏剧性的宿命悖论:它总能精准踩中企业服务的时代入口,每一次战略迭代都切中行业核心趋势,却始终无法把正确的方向深耕到底,每每在关键突破的临界点戛然而止、中途换挡。

此次无招卸任离场,不过是这一循环的又一次重演。

01

起家的成功,亦是根深蒂固的硬伤

Ding一下、考勤打卡、流程审批、管理沟通……一系列聚焦企业管理工具、服务管理者需求的基础功能,让钉钉快速切入SMB企服赛道。

凭借轻量化、零门槛、易落地的优势,钉钉迅速积累起百万级、千万级的客户体量,即便放在当下竞争白热化的国内SaaS市场,这一用户规模依旧是极具分量的基本盘。

但早期的起家优势,最终演变成束缚多年的心智枷锁。自诞生之初,钉钉就被牢牢贴上了“企业管理工具”的标签,在用户认知中,它始终是服务于老板管控、行政提效的协同办公软件。

这份固化的心智定位,成为钉钉难以突破的发展天花板。

更关键的是,协同办公本身就是一条增长空间有限的赛道。实际上,协同办公这件事,根本不适合大兵团作战。往好里说,是“螺蛳壳里做道场”,说不好听的,就是屎上雕花。

说到底,协同办公最终也无法形成差异化壁垒,这也是钉钉长期陷入增长瓶颈的核心根源。

02

第一次战略进化:选对了赛道,却做小了格局

不穷接任钉钉后,精准洞察到协同办公的赛道局限,迅速完成战略调转:跳出单一的办公协同框架,从表层效率工具转向企业深层业务深耕,推动钉钉从“办公软件”向“企业数字化平台”升级,让协同办公仅作为平台的基础功能之一。

这一次战略跃迁,钉钉再度选对了SaaS行业终极方向。

从行业逻辑来看,传统企业软件赛道早已被用友、金蝶等老牌巨头牢牢盘踞,深耕业务赛道必然直面巨头壁垒。但SaaS行业有着全新的玩法,正如Salesforce,凭借生态化SaaS模式,成功跨越SAP、Oracle等传统软件巨头的垄断,成长为全球顶级的企业服务平台。

而生态化SaaS的商业价值,拥有超乎想象的增长空间。

公开数据显示,Salesforce生态伙伴创造的整体市场规模,是其自身营收的6.2倍。按照这一模型测算,若钉钉坚定走生态化深耕路线,当其营收达到20亿级别时,带动的整体产业规模便可突破百亿,真正打开指数级增长空间。

遗憾的是,钉钉最终做小了生态格局。

团队始终将生态视为自身产品的补充延伸,而非撬动数倍增量的核心引擎。长期以来,钉钉坚持“自研为主”的思路,大包大揽开发各类功能,首页应用堆砌繁杂、层级冗余。过度依赖自研导致第三方生态的成长空间被挤压,错失了快速做大产业规模的最佳时机。

即便如此,这一阶段的钉钉依旧搭建起了国内为数不多的企业SaaS生态体系,生态赋能的商业模式已然初见雏形。

更具前瞻性的是,彼时钉钉便率先提出打造Agent智能平台的核心主张,精准预判了当下企业AI数字化的核心趋势。

历史的循环再度上演:正当生态布局稳步推进、AI Agent蓝图刚刚铺展之时,不穷卸任,无招接棒,钉钉的第二次深度进化再度半途放缓。

03

向AI Native惊险一跃:选对了未来,却落地又断

7.5万字离职书,将所有人的目光都引向ONE的复盘败笔,却很少有人想到,从ONE切换到悟空的核心战略逻辑。

客观而言,ONE“事找人”的智能办公思路极具创新性,彻底颠覆了传统“人找功能”的办公模式,产品体验流畅、逻辑新颖,足以让钉钉在通用办公赛道构建差异化竞争力,占据市场一席之地。

但ONE的两大致命硬伤,注定其无法承载钉钉的长期突破。

其一,战略本质依旧局限于传统协同办公赛道,只是用AI技术翻新了原有办公形态,并未深入企业垂直业务场景,无法解决行业数字化的核心痛点;其二,并非真正的AI原生产品,只是用AI能力作为针线,缝合原有传统办公应用,属于“存量改造”而非“增量重构”,没有从底层重构企业业务逻辑。

正因如此,钉钉最终果断舍弃ONE,全面转向悟空AI原生战略,从底层架构搭建纯粹的企业AI能力,彻底摆脱传统路径依赖。

从行业长远发展来看,这一抉择无疑是正确的,精准锚定了企业服务AI化的终极方向。

但这次激进的战略切换,也让钉钉陷入了巨大的市场真空期。AI原生的底层重构需要漫长的打磨周期,在通用AI能力迭代出成熟的垂直行业业务能力之前,缺少足够的可售“成品”,支撑营收与市场增长。

从落地效果来看,悟空的潜力已然得到验证。我参与的悟空法律服务共创项目中,其对律所全流程业务的覆盖率突破85%,产品能力、落地效果完全不输市面上任何一款成熟的法律SaaS产品,证明钉钉AI原生的技术路线完全可行。

可历史再度重演:正当悟空AI原生模式跑通试点、探索规模化落地之时,无招离职,钉钉的AI战略进阶再度陷入停滞。

04

换帅之后,钉钉的未来猜想

随着新任CEO陈宇森接棒,业界出现诸多猜测:钉钉是否会全面并入其主导的AI产品MuleRun,彻底覆盖原有体系?

在我看来,这种可能性微乎其微。MuleRun大概率只会作为一款AI应用纳入钉钉平台,而非取代钉钉整体架构。

核心原因在于To C与To B产品的底层逻辑天差地别:一款优秀的To C产品,技术能力往往占据80%的核心权重;但面向企业生产环境的To B方案,对行业业务的深度理解,才是80%的核心竞争力。

再说,倘若钉钉只是一款纯技术驱动的AI工具,那么钉钉根本不需要1500多号人,100人足矣。显然,钉钉并不想如此收缩。

也许,将前两任CEO的战略成果合二为一,可能是一个既创新、又稳妥的方案——既原生了AI,又深耕行业业务。

这样说可能有些抽象,可以参考Salesforce的布局路径:

第一,保留升级原有应用市场,对标Salesforce AppExchange,依靠既有应用、宜搭低代码构建、第三方业务应用,稳住现有基本盘,保障平台稳定营收与保住既有客户。

第二,搭建独立的企业Agent智能市场,对标AgentExchange,专门上架垂直行业AI模型、企业数字员工、智能业务等AI原生产品,与传统SaaS应用彻底分区,开展独立商业化运营。

这套双轨模式,既能依托传统应用市场守住基本盘、保障短期收入,又能通过独立Agent市场持续孵化AI原生能力、深耕垂直行业,实现从表层办公协同到深层业务数字化的纵向突破。

实际上,放眼行业,钉钉拥有独一无二的优势:千万级企业客户基础、丰富的落地场景、适合训练行业专属模型的干净数据、有利于构建企业上下文层... ...

因此,可以说钉钉是国内最有能力规模化构建企业Agent的平台。

屡次选对方向、屡次半途停摆的钉钉,如今再度站在战略十字路口。

换帅既是变局,更是破局的契机。

能否终结“选对路却走不远”的宿命,把正确的战略坚持到底,真正实现从办公工具到企业AI生态平台的蜕变,便是钉钉未来最大的悬念与机遇。

注:文/戴珂,文章来源:tobesaas,本文为作者独立观点,不代表亿邦动力立场。

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