Asana 如何通过产品重新设计取胜——关键 UX 经验和增长影响

着手进行有针对性的引导流程重新设计，以减少摩擦 通过将七个步骤合并为一个 单身, ，以任务为中心的路径，团队每天使用它来开始工作。 案例 数据显示，用户引导时间下降了 38%，初始激活率上升了 26%，这对任何公司来说都是一个实实在在的胜利。 敏捷 旨在快速交付价值的程序 以下文本翻译成简体中文： Rules: - Provide ONLY the translation, no explanations - Maintain the original tone and style - Keep formatting and line breaks 天。.

将重新设计应用于核心任务生命周期 – 计划、分配和进度跟踪 – 以减少情境切换并提高 生产力. 目标是一个 单身 界面，让他们集中在一处，从而改善协作。 公司 不同规模的。在试点项目中，重新设计将任务吞吐量提高了 211%，并将切换延迟降低了 151%。.

用具体的指标量化增长的影响：采用重新设计的看板、模板和工作流程，转化为任务完成率提升 22%，每周活跃用户提升 15%，横跨多个 案例. 用户报告称 已改进 重点，因为界面提供了一个 单身 优先事项的视图，减少不必要的上下文切换。.

通过严谨的计划改变规模 两周冲刺和快速反馈循环。将定性访谈与定量分析相结合，以确保学习成果在…内部扎根。 单身 产品领域。领导者应该 请求 在每次迭代前明确成果，然后奖励交付成果的团队 已改进 在紧迫的时间内提高生产力。.

将模式扩展到其他工作流程 – 当团队将他们交付的产品与真实用户的工作对齐时，良性循环便会出现。 通过记录哪些内容在 案例 并在整个组织内共享，, 公司 可以扩大他们的影响并加速增长，而不会牺牲质量。.

Asana 如何通过产品重新设计胜出

首先从彻底检查开始 面向客户 导航 在一个精益求精中 版本 2.0 削减摩擦并加速价值。这是一个清晰的 标志 产品团队必须优先考虑核心工作流程，而非单纯的视觉润色。 我们 合作 设计、研究和工程方面，, 发起的 为期两个月的冲刺，以测试精简的布局，并衡量其在实际用户中的影响 商业 团队。在试点中，, 任务创建 时间缩短高达 40%，采用率有所提高 你的 同事们，尤其是在团队可以用更少的点击完成他们的首要任务时。.

头脑风暴 会议成果重点突出 概念：将最常用的操作放在最前面，将搜索与上下文联系起来，并减少认知负荷。集结 真言 变成了那样 清晰度 驱动器 生产力, ，并且用户界面不断演进以引导用户。 进入 他们的下一步，而没有强迫绕道。 通过将视觉效果与单一导航流程对齐，我们保持了 步速 在保持团队规模或角色变更的灵活性的同时，保持较高水平。.

在变更之前，若干 提问 从用户突出显示缺失 特点 以及未对齐的默认值。我们 发起的 一个反馈循环，将这些请求转化为下一个版本中的具体更新，并通过快速的方式验证每个决策。 投球 向利益相关者。我们强调转变 提问 转化为可衡量的成果并进行追踪 生产力 相对基线的收益，以显示切实的收益 商业 单位。.

专注于实施 导航 改进：更快速地在看板、任务和日历之间切换；更智能的搜索，可以显示上下文；以及无需分心即可确认操作的微交互。我们保留了至关重要的 面向客户 将精彩瞬间置于最醒目位置，使用 标志 在更少的点击次数中完成关键工作流程时，团队更容易取得成功。 新的 版本 还提供了一个更清晰的入门路径，所以新用户 进入 产品快速支撑，加速实现价值并提高早期留存率。.

对于旨在复制这些结果的团队，采用结构化的 头脑风暴-至-概念 到 版本 迭代周期：确定首要任务，小范围测试，并加以利用 投球 作为决策的学科。追踪 提问, ，衡量价值实现时间，并庆祝每一次 下一个 以简明扼要的利益相关者更新来标记里程碑。这种方法创造了一个切实的 标志 改进之处，无论对于最终用户还是 商业, ，同时保持与公司战略目标一致的势头。.

关键用户体验经验和增长影响；如何通过迭代方式进行重新设计

在两周内启动跨职能试点项目，以验证面向客户的变更。定义一个四方假设：期望的结果、衡量指标、实现路径以及可容忍的风险等级。选择三件事进行测试，并锁定一个严格的截止日期。分配一个小团队和一个轻量级流程，优先考虑来自真实客户使用的应用程序的快速反馈。.

通过梳理用户感到困惑的首要任务来设定方向，并将每个测试与可衡量的结果联系起来。将范围限制在最有价值的流程中，以降低风险；如果更改增加了复杂性，则将其精简。每次迭代后，将结果与基线进行比较;如果数据表明有所提升，则扩大更改范围;如果没有，则快速调整。如果价值来自新流程，则对其进行测试，如果证明没有价值，则将其舍弃。.

设计规范依赖于一个结构框架：维护清晰的组件库、一致的交互模式和明确的标签，以展示设计如何服务于用户。通过减少步骤和明确用户应采取的操作来解决新手引导的摩擦。在范围限制内行动，以防止过度设计并保持进度稳定。效仿谷歌式的实验精神，团队倾向于迭代几个高影响力的变化，而不是追求完美。.

增长影响源于可衡量的结果：激活、引导转化和留存。在试点测试中，重新设计后，激活率提高了121%，引导转化率提高了81%，支持请求单减少了20%。钻石反馈循环指导这项工作：收集客户意见，提炼见解，实施变更，衡量影响，然后重复。从原型到生产，这种方法为整个产品线带来清晰的价值，并加强了应用程序组合的方向。.

Operational guidance: establish a shared process and dashboards that your team can trust. Run weekly demos, keep decision-makers aligned, and push updates to the entire stack without bottlenecks. This discipline reduces confusion, lowers risk, and keeps customer needs at the center while delivering measurable growth for the team and business. This still holds value as a capability and can bring development discipline; teams develop a repeatable cycle that scales across apps and parts of the portfolio.

Identify top 5 user journeys to redesign first

1) Onboarding and first-use flow: map the customer thought from landing to first value. Use a clear sign that progress is being made and fuel a virtuous loop by showing benefits early and give value quickly. Looked at analytics, drop-offs cluster after the first screen; rearrange the initial menu, changing the order so core actions appear within two taps. Roll out the changes in agile sprints, involve managers and customer teams in quick usability tests. Metrics target: reduce time to first meaningful action by 35-45%, raise 7‑day activation, and boost activation-to-ongoing-use conversion. These steps create a memorable first impression that feels trustworthy.

2) Task creation and workflow orchestration: make task capture fast: prefill fields, offer templates, and auto-suggest assignees. The interface should roll into the current workflow with 3 prompts max, so the user sees benefits immediately. Involve the team from design, product, and managers, and test with real customer data. Moving between screens should feel seamless; use keyboard shortcuts and inline validation. Metrics: reductions in time-to-create task by 40%, fewer errors, and higher rate of tasks moving to active status within 24 hours. Heres theyd note that early hints reduce cognitive load, and these learnings feed the methodology.

3) Search, navigation, and menu usability: replace cluttered top bars with a predictable menu structure and universal search. Provide a single source of truth: filters, saved views, and keyboard focus. The search results should roll with context, so managers can locate a task, file, or discussion in seconds. Involve social signals: recently viewed by teammates, popularity, and collaboration hints; this feels more trustworthy. Metrics: search-to-result time down 25%, click-through rate on saved views up, and nesting depth reduced by 1 level.

4) Planning, milestones, and approvals flow: align project planning with milestones and approvals to reduce lag. Display a visible state of progress in the header and a compact view for managers. The path should move from planning to execution with one action, not multiple hops; the menu should surface the next logical step. Metrics: time from plan to milestone completion, approval cycle time reductions, and improved cross-team visibility on dashboards.

5) Notifications, collaboration flow: centralize mentions, updates, and asynchronous comments to minimize context-switching. Show a concise digest in the home feed, plus push updates on mobile. This helps customer-facing teams and managers stay aligned without noise. Metrics: average notification latency, engagement with comments, and rate of replies within 2 hours. youre able to test these patterns in a few squads to move fast and measure impact. Heres theyd point out that social signals improve adoption across teams.

Audit onboarding and core task flows to surface friction

Always start with a concrete recommendation: audit onboarding and core task flows in a single sprint, map each phase, and tie findings to redesigned steps that cut friction and accelerate progress.

1. Define scope and collect data. Inventory signup, verification, product tour, first task creation, and first task completion. Capture funnel conversions, time-to-first-action, and error rates across each phase. Pull data from analytics, support tickets, and qualitative feedback to quantify stakes and risk, so teams agree on where to intervene.

   • Identify where werent users progressing and surface the exact moments of friction with color-coded signals (red for critical, amber for warning).
   • Document limits of the current flow, including UI latency, ambiguous copy, and inconsistent affordances.

2. Surface friction categories and opportunities. Categorize issues as cognitive load, time to complete, inconsistent cues, validation errors, and missing guidance. Highlight the most difficult steps and the opportunities they create for quick wins in the redesigned flow.

   • Include a koch-style constraint to prevent scope creep: approve only changes that shave steps without adding new decision points.
   • Capture how collaboration across product, design, and engineering changes the risk profile and accelerates learning.

3. Prioritize with a simple impact-effort model. Score opportunities by potential value, required effort, and alignment with the virtuous loop of onboarding quality and task success. Favor changes that extend the existing strengths of the product while reducing points of friction.

4. Prototype rapid wins in an iterative cycle. Create small, testable changes–copy clarity, button affordances, tooltip guidance, and a shorter first-task path–to validate concepts quickly and generate momentum.

   • Use a color system to signal stages of onboarding and task flow, making progress visible and reducing cognitive load.
   • Design for accelerated feedback so teams can confirm impact within a single sprint window.

5. Validate with real users and data. Run targeted tests across a representative sample, measure progress against baseline, and adjust before launching broader changes. Ensure the tests cover both onboarding and core task steps to avoid sub-optimizations.

6. Launch planning and execution. Prepare a focused launch with clear milestones and a minimized risk surface. Document the redesigned path, expected outcomes, and how to monitor for regressions post-launching.

7. Extend the program with a continuous feedback loop. After deployment, track KPIs, collect qualitative signals, and plan the next sprint of refinements. The goal is a very repeatable process that compounds progress, delivering valuable, incremental improvements over time.

Prototype fast: 1–2 week design sprints from sketch to clickable

Begin with a 1–2 week sprint that translates a sketch into a clickable prototype. This cadence incrementally creates momentum while delivering an entire core experience. Use a mantra: test early, test often. A koch discipline helps keep scope tight and the team focused on what truly matters, avoiding feature creep. They stay focused on what matters.

Managers and the manager align with clients using a testing approach that puts early feedback at the center. They took notes and study user behavior to know what to adjust. The version that emerges should be built entirely by the team, with incrementally refined steps. Instead of waiting for perfection, extend the prototype and bring in input from most stakeholders to guide the next move.

Day-by-day plan: Day 1 sketch, Day 2–3 mock, Day 4 turn the sketch into a clickable core path, Day 5–7 test with users. Each step gives feedback that you can rely on; this step will give stakeholders a tangible view. The team learns what to refine and what to drop. The most valuable moves happen when you adjust the prototype after testing, then ship a version that clients can evaluate. This pace keeps momentum and avoids endless building.

Test with real users and capture task success, time to completion, and satisfaction

Run 6-8 sessions with real users from your target segments, asking them to complete a core task using the redesigned product, and capture task success, time to completion, and satisfaction for each session.

Define task success as finishing the primary objective without critical errors or excessive guidance, measure time from first interaction to final confirmation, and collect a 1–5 satisfaction rating immediately after. Use a shared form or a lightweight tool to log outcomes and notes, enabling collaboration and fast iteration. While you capture data, keep the tests focused on realistic current workflows to avoid skew.

Adopt a collaboration-first approach with a clear mantra: test early, test often. The power of real-user feedback accelerates value across digital product flows; capture current behavior, compare against the launched version, and note where theres friction. Identify difficult steps and different friction points, then translate thinking into concrete notes and turn prototype findings into valuable solutions that become the diamond for the next iteration. While you collect insights, keep the process focused and building momentum by bringing them into decisions that maintain clarity across the team.

Use a simple table to illustrate the data you collect and the decisions you drive. This shows how many tasks were completed, the time, and the satisfaction, and is easy to update after each round. Tracking trends across sessions reveals where the current path works and where you should try a different approach. Notes and case evidence support prioritization and guide the next prototype.

After you gather data, build a case with notes and returns, and bring it to stakeholders. The results guide where to launch further fixes, which parts of the workflow to prototype next, and how to validate improvements against user expectations. The ongoing loop makes the product feel responsive and customer-centric, turning insights into tangible solutions that support the team’s growth metrics.

Define success metrics and monitor growth signals after each release

Start with a concrete recommendation: define a release-specific metric set and a rapid review cadence. For each release, select 6–8 metrics that cover activation, usage, value, and business impact. Keep definitions clear and baselines anchored to the original product so you can measure progress accurately. Build a color-coded dashboard that shows data today and flags when a metric drifts beyond threshold.

Focus on activation to ensure new users reach meaningful tasks quickly. Track onboarding completion rate, time-to-first-task, and first-week retention. Set targets such as onboarding > 75%, time-to-first-task under 48 hours, and first-week retention above 40%. Break results down by cohort, compare against prior releases, and watch for outdated signals that no longer reflect real user behavior.

Track usage and workflow engagement to forecast growth. Monitor daily active users (DAU) and monthly active users (MAU), task creation rate, task completion rate, and workflow adoption rate. For example, aim for 2.5 tasks per active user per week and 60% of new users initiating a repeat workflow within 10 days. Give teams an option to adjust weights for their specific workflow, then extend the core metrics with team-specific signals as needed. Take a page from evernote and measure where users drop off in the first run to tighten the initial path; the resulting clarity helps everyone move faster.

Link usage to outcomes and opportunities. Tie metrics to concrete opportunities such as time saved, error reduction, and customer satisfaction improvements. Track research-driven outcomes like reduced handoffs, increased task visibility, and quicker course-correct actions after releases. Use data today to show how design changes translate into real value for users and the business, not just vanity numbers.

Ensure data quality and governance. Double-check definitions with product, data, and research teams, then lock in a single source of truth for each metric. If data feels inconsistent, pause new changes and run a quick data health check. Theyd rely on accurate signals to guide next steps, so build automated checks and alert thresholds that surface anomalies quickly while you maintain full transparency across everyone involved.

Plan the review cadence and ownership. Assign clear owners for each metric, publish a concise dashboard for stakeholders, and schedule a lightweight post-release review within 72 hours. Use this cadence to extend insights into new opportunities, refine targets, and align on next steps. An accelerated feedback loop keeps the team focused on real impact, not just activity, and helps product, design, and growth move together with much more confidence.