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Continuous Discovery Habits

Continuous Discovery Habits

Discover Products that Create Customer Value and Business Value
作者 Teresa Torres 2021 237 页数
4.47
4k+ 评分
10 分钟

重点摘要

1. 持续发现:打造客户想要的产品的关键

至少每周与客户接触一次,由产品团队进行小规模的研究活动,以追求预期的结果。

持续发现是一种结构化的产品开发方法,涉及持续的客户研究和实验。它帮助团队通过以下方式持续提供价值:

  • 每周与客户互动,了解他们不断变化的需求
  • 进行小而频繁的研究活动,而不是大而不频繁的研究
  • 追求明确的预期结果,而不仅仅是发布功能
  • 让整个产品团队(产品经理、设计师、工程师)参与客户研究

这种方法使团队能够紧密贴合客户需求,快速适应新信息,并做出基于证据的产品决策。通过将发现变成一种持续的习惯而不是一次性的阶段,团队可以更可靠地创造出客户真正想要和使用的产品。

2. 关注结果而非输出,以驱动真正的价值

你永远不会因为一个功能而成功……你也永远不会。

将思维从输出转向结果。 这意味着:

  • 通过为客户和业务创造的价值来定义成功,而不仅仅是发布功能
  • 设定明确、可衡量的结果(例如,提高客户保留率10%)
  • 允许团队自主决定如何实现结果
  • 定期评估产品变更是否推动了预期结果

结果导向的好处:

  • 使团队的努力与业务目标保持一致
  • 鼓励在解决问题方面的创新
  • 当初始解决方案不起作用时允许调整方向
  • 衡量真正的影响,而不仅仅是活动

通过关注结果,团队避免了“构建陷阱”,即无休止地发布功能而不创造真正的价值。他们通过看到工作对客户和业务的实际影响而保持动力。

3. 映射和优先考虑客户机会

结构是复杂的。它完成、撤销并重新完成。

创建机会解决方案树。 这个可视化工具帮助团队:

  • 映射出客户的需求、痛点和愿望(机会)
  • 从广泛到具体地分层结构化机会
  • 优先考虑首先要解决的机会
  • 生成和评估潜在的解决方案

构建和使用树的步骤:

  1. 从顶部的预期结果开始
  2. 分支到高层次的机会领域
  3. 将每个领域分解为更具体的机会
  4. 根据以下标准评估机会:
    • 对客户的重要性
    • 对结果的潜在影响
    • 解决的可行性
  5. 选择一个目标机会进行关注
  6. 为该机会生成多个解决方案想法

这棵树提供了对问题空间的共同理解,并帮助团队在决定将精力集中在哪里时做出战略决策。它是一个随着团队对客户和市场的了解而不断发展的活文档。

4. 定期进行客户访谈以发现真实需求

人们不知道他们想要什么,直到你展示给他们看。

通过访谈发现机会,而不是验证解决方案。 关键原则:

  • 每周进行访谈以保持持续的学习循环
  • 专注于收集具体的故事,而不是一般的意见
  • 询问最近的经历,而不是假设的未来行为
  • 倾听潜在需求,而不仅仅是功能请求

访谈结构:

  1. 确定范围:定义要探索的客户体验部分
  2. 询问具体的故事:“告诉我你上次……的经历”
  3. 深入挖掘:使用后续问题了解背景和动机
  4. 捕捉机会:记录表达的需求、痛点和愿望
  5. 综合:创建访谈快照,总结关键见解

定期访谈帮助团队保持与客户现实的联系,捕捉新兴趋势,并建立同理心。它提供了一个不断的机会流,以告知产品决策。

5. 生成和测试多个解决方案想法

创意团队知道,数量是质量的最佳预测指标。

广泛构思,然后聚焦。 方法:

  1. 个人生成许多想法(每人目标15-20个)
  2. 团队分享想法并在彼此的概念上进行构建
  3. 选择一组多样化的3个有前途的解决方案进行进一步探索

多个解决方案的好处:

  • 增加找到创新方法的机会
  • 减少对单一想法的固执
  • 允许比较和对比选项

测试过程:

  1. 为每个解决方案创建简单的原型或模型
  2. 定义明确的评估标准(例如,“10个用户中有7个可以完成任务”)
  3. 与少量客户(5-10个)进行测试
  4. 比较各解决方案的结果
  5. 根据学习结果进行迭代或调整

通过并行探索多个解决方案,团队可以更快地识别出成功的想法,避免过度投入于次优方案。

6. 早期识别和测试关键假设

好的测试会杀死错误的理论;我们仍然活着,可以再次猜测。

浮现并测试风险假设。 步骤:

  1. 列出每个解决方案想法的假设(可取性、可行性、可行性)
  2. 根据重要性和不确定性映射假设
  3. 识别“信仰飞跃”假设(高重要性,高不确定性)
  4. 设计小实验来测试这些关键假设
  5. 在运行测试之前设定明确的成功标准

假设测试类型:

  • 烟雾测试:在构建之前评估兴趣(例如,登录页面注册)
  • 奥兹巫师:手动模拟功能
  • 礼宾服务:为早期采用者提供高接触服务
  • 假门:测量对不存在功能的点击

早期测试假设帮助团队:

  • 快速验证或否定想法
  • 减少构建错误事物的风险
  • 更快地学习和迭代
  • 做出基于数据的决策

通过系统地识别和测试假设,团队可以在大量投资开发之前增加对解决方案想法的信心。

7. 在发现和交付过程中衡量影响

你的错觉,无论多么令人信服,都会在数据的严酷光照下枯萎。

为产品设置衡量结果的工具。 关键步骤:

  1. 定义与预期结果相关的明确指标
  2. 实施分析以跟踪这些指标
  3. 在进行更改之前建立基线
  4. 衡量每次产品迭代的影响
  5. 寻找长期结果的领先指标

考虑的指标类型:

  • 产品指标:直接衡量产品使用和行为
  • 业务指标:衡量对公司目标的影响(收入、保留)
  • 客户指标:衡量客户满意度和成功

最佳实践:

  • 从小处着手:不要试图一次测量所有内容
  • 专注于可操作的指标,以告知决策
  • 寻找产品变更与结果指标之间的相关性
  • 耐心等待:有些影响需要时间才能显现

持续测量使团队能够:

  • 验证解决方案是否推动了预期结果
  • 识别改进的领域
  • 做出基于数据的优先级决策
  • 向利益相关者展示他们工作的价值

8. 管理发现周期并根据需要进行调整

信任过程可以给你信心去冒险。

接受发现的混乱现实。 关键原则:

  • 预期意外并准备好调整
  • 将大机会分解为更小的、可测试的部分
  • 平衡短期胜利与长期战略赌注
  • 认识到何时坚持,何时改变方向

常见的发现情景:

  1. 了解到一个机会并不像最初想象的那样重要
  2. 发现一个解决方案比预期的更复杂
  3. 发现新的约束或要求
  4. 发现意外的客户行为或偏好

面对意外时:

  1. 重新评估假设和假说
  2. 如果需要,返回发现过程的早期步骤
  3. 向利益相关者传达变更和理由
  4. 寻找实现预期结果的替代路径

通过保持灵活性并对新信息做出响应,团队可以驾驭产品开发的固有不确定性,并找到创造价值的最佳路径。

9. 通过展示工作与利益相关者合作

领导者越能理解团队的进展,他们就越会退后一步,让团队执行。

通过透明度建立信任。 策略:

  • 使用可视化工件(机会树、故事地图)分享思路
  • 从预期结果开始,而不仅仅是解决方案
  • 向利益相关者展示你的发现过程和关键决策
  • 在适当的时刻邀请输入和共同创造

利益相关者合作的好处:

  • 利用多样化的观点和专业知识
  • 为产品决策建立认同感
  • 减少对新想法的抵制
  • 使产品工作与更广泛的业务目标保持一致

有效的利益相关者管理技巧:

  • 根据每个利益相关者的需求和兴趣调整细节水平
  • 定期、简短的更新通常比不频繁的长时间演示更好
  • 对反馈持开放态度,但使用数据和客户见解支持决策
  • 庆祝成功和有价值的失败

通过积极让利益相关者参与发现过程,团队可以创建对产品战略的共同理解,并增加组织对其工作的支持。

最后更新日期:

FAQ

What's "Continuous Discovery Habits" about?

  • Focus on Discovery: "Continuous Discovery Habits" by Teresa Torres is about adopting a structured and sustainable approach to product discovery that continuously involves customer input.
  • Framework and Habits: The book introduces a framework and a set of habits that help product teams discover opportunities and solutions that create customer and business value.
  • Outcome Over Output: It emphasizes focusing on outcomes rather than outputs, ensuring that product decisions are driven by customer needs and business goals.
  • Iterative Process: The book advocates for an iterative process where discovery and delivery are interwoven, allowing teams to adapt and learn continuously.

Why should I read "Continuous Discovery Habits"?

  • Practical Guidance: The book provides practical guidance on how to implement continuous discovery in your product development process.
  • Improved Decision-Making: It helps improve decision-making by teaching how to balance customer needs with business outcomes.
  • Real-World Examples: The book includes real-world examples and case studies that illustrate the application of continuous discovery habits.
  • Empowerment: It empowers product teams to take ownership of their discovery process, leading to better products and increased confidence in their work.

What are the key takeaways of "Continuous Discovery Habits"?

  • Continuous Customer Engagement: Regularly engage with customers to discover and validate opportunities and solutions.
  • Outcome-Oriented Mindset: Shift from focusing on outputs to achieving desired outcomes that benefit both customers and the business.
  • Structured Discovery Process: Use tools like opportunity solution trees to map and prioritize opportunities and solutions.
  • Iterative Learning: Embrace an iterative approach to learning and adapting, ensuring that discovery and delivery inform each other.

What is the "Opportunity Solution Tree" in "Continuous Discovery Habits"?

  • Visual Framework: The opportunity solution tree is a visual framework that helps teams map out paths to achieve desired outcomes.
  • Structure and Prioritize: It structures the opportunity space, allowing teams to prioritize opportunities and solutions effectively.
  • Resolve Tensions: The tree helps resolve tensions between business needs and customer needs by aligning them through opportunities.
  • Shared Understanding: It builds a shared understanding across the team, facilitating better collaboration and decision-making.

How does "Continuous Discovery Habits" define continuous discovery?

  • Weekly Touchpoints: Continuous discovery involves at least weekly touchpoints with customers by the team building the product.
  • Small Research Activities: These touchpoints include small research activities aimed at understanding customer needs and validating assumptions.
  • Desired Outcome Focus: The process is in pursuit of a desired outcome, ensuring that discovery efforts are aligned with business goals.
  • Iterative and Sustainable: The approach is iterative and sustainable, allowing teams to adapt and learn continuously.

What are the "Continuous Discovery Habits" mentioned in the book?

  • Outcome Over Output: Focus on achieving outcomes rather than delivering outputs.
  • Visualize Knowledge: Use tools like experience maps and opportunity solution trees to visualize and structure knowledge.
  • Continuous Interviewing: Regularly interview customers to discover and validate opportunities.
  • Assumption Testing: Identify and test assumptions quickly to iterate on solutions effectively.

How does "Continuous Discovery Habits" suggest prioritizing opportunities?

  • Opportunity Sizing: Assess opportunities based on how many customers are affected and how often.
  • Market and Company Factors: Consider market trends, competitive positioning, and company strengths and weaknesses.
  • Customer Importance: Evaluate how important each opportunity is to customers and their satisfaction with current solutions.
  • Iterative Assessment: Use the opportunity solution tree to iteratively assess and prioritize opportunities.

What is the role of "Assumption Testing" in "Continuous Discovery Habits"?

  • Identify Assumptions: Identify hidden assumptions behind solution ideas to uncover potential risks.
  • Test Quickly: Test assumptions quickly to gather evidence and reduce risk before investing heavily in solutions.
  • Iterative Learning: Use assumption testing to iterate on solutions, learning from both successes and failures.
  • Compare and Contrast: Test assumptions across multiple ideas to compare and contrast their potential effectiveness.

How does "Continuous Discovery Habits" recommend measuring impact?

  • Instrument Prototypes: Instrument live prototypes to evaluate assumption tests and measure impact on desired outcomes.
  • Outcome Alignment: Ensure that product changes are aligned with desired outcomes and measure their impact accordingly.
  • Iterative Measurement: Continuously measure and iterate on product changes to ensure they drive the intended outcomes.
  • Connect Outcomes: Strengthen the connection between product outcomes and business outcomes to ensure long-term success.

What are the best quotes from "Continuous Discovery Habits" and what do they mean?

  • "You are never one feature away from success...and you never will be." This quote emphasizes that success is not about delivering a single feature but about continuously addressing customer needs and business goals.
  • "Trusting the process can give you the confidence to take risks." It highlights the importance of having a structured discovery process that allows teams to take calculated risks and learn from them.
  • "Good tests kill flawed theories; we remain alive to guess again." This quote underscores the value of assumption testing in identifying and discarding flawed ideas, allowing teams to iterate and improve.

How can I start implementing "Continuous Discovery Habits" in my team?

  • Start Small: Begin with small, manageable changes and iterate from there, focusing on what is within your control.
  • Build a Trio: Form a cross-functional trio of a product manager, designer, and engineer to collaborate on discovery decisions.
  • Continuous Interviewing: Develop a habit of continuous interviewing to keep customer needs at the forefront of your process.
  • Reflect and Improve: Use retrospectives to reflect on your discovery process and identify areas for improvement.

What challenges might I face when adopting "Continuous Discovery Habits"?

  • Organizational Resistance: You may encounter resistance from stakeholders who are accustomed to traditional ways of working.
  • Resource Constraints: Limited resources or lack of access to customers can make continuous discovery challenging.
  • Balancing Priorities: Balancing discovery with delivery and other responsibilities can be difficult.
  • Iterative Learning: Embracing an iterative learning mindset and being open to change can be challenging but is essential for success.

评论

4.47 满分 5
平均评分来自 4k+ 来自Goodreads和亚马逊的评分.

《持续发现习惯》受到读者的高度赞誉,平均评分为4.48/5。评论者称赞其在产品发现方面的实用方法,提供了可操作的框架和技术。许多人认为这是产品经理、设计师和研究人员必读的书籍。该书因其清晰的表达、真实的案例以及对建立发现习惯的关注而备受推崇。一些读者指出其适用于各种角色和行业。尽管有少数批评提到重复和理想化,但总体而言,这本书因其宝贵的见解和可操作的建议而被高度推荐。

Your rating:

关于作者

特蕾莎·托雷斯是一位著名的产品发现教练、演讲者和作家。她在各个行业中与数百个产品团队合作,帮助他们实施有效的发现实践,拥有丰富的经验。托雷斯以其实用、基于证据的方法论和将复杂概念简化为可操作框架的能力而闻名。她的工作重点是教导产品团队如何将客户洞察与产品决策相连接。托雷斯通过写作、工作坊和演讲定期为产品管理社区做出贡献。她在持续发现方法方面的专业知识使她成为产品开发和创新领域备受尊敬的人物。

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