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Enthu.AI Platform Help

Enthu.AI平台帮助

Step 1 — Gather context

步骤1 — 收集上下文

If
references/learnings.md
exists, read it first for accumulated platform knowledge.
  1. What do you need help with?
    • A) Setting up QA scorecards and evaluation criteria
    • B) Configuring integrations (dialer, CRM, meeting platform)
    • C) Agent coaching workflows and performance tracking
    • D) Compliance monitoring and PII redaction
    • E) Reporting and analytics dashboards
    • F) Comparing Enthu.AI to another tool (Gong, CallMiner, Observe.AI)
    • G) Other
  2. What's your current setup?
    • A) New to Enthu.AI — haven't started
    • B) Installed but not fully configured
    • C) Running but having issues
    • D) Evaluating whether to buy
  3. What's your dialer/telephony?
    • A) Aircall
    • B) RingCentral
    • C) Freshcaller
    • D) Twilio
    • E) GoToConnect
    • F) Dialpad
    • G) Webex
    • H) Zoom
    • I) Other
  4. Team size?
    • A) Small (<10 agents)
    • B) Mid-size (10-50 agents)
    • C) Large (50-200 agents)
    • D) Enterprise (200+)
Skip-ahead rule: if the user's prompt already contains enough context, skip to Step 2.
如果
references/learnings.md
存在,请先阅读该文档获取积累的平台知识。
  1. 您需要哪方面的帮助?
    • A) 设置QA评分卡和评估标准
    • B) 配置集成(拨号器、CRM、会议平台)
    • C) 坐席辅导流程和绩效追踪
    • D) 合规监控和PII脱敏
    • E) 报告和分析仪表盘
    • F) 对比Enthu.AI与其他工具(Gong、CallMiner、Observe.AI)
    • G) 其他
  2. 您当前的设置状态是?
    • A) 刚接触Enthu.AI — 尚未开始使用
    • B) 已安装但未完全配置
    • C) 正在运行但遇到问题
    • D) 正在评估是否购买
  3. 您使用的拨号器/电话系统是?
    • A) Aircall
    • B) RingCentral
    • C) Freshcaller
    • D) Twilio
    • E) GoToConnect
    • F) Dialpad
    • G) Webex
    • H) Zoom
    • I) 其他
  4. 团队规模?
    • A) 小型(<10名坐席)
    • B) 中型(10-50名坐席)
    • C) 大型(50-200名坐席)
    • D) 企业级(200+名坐席)
跳转规则:如果用户的提示已包含足够上下文,直接跳至步骤2。

Step 2 — Route or answer directly

步骤2 — 转至对应工具或直接解答

Problem domainRoute to
Building a coaching program or training cadence
/sales-coaching {user's question}
Reviewing a specific call transcript for coaching
/sales-call-review {user's question}
Choosing between note-taker/conversation intelligence platforms
/sales-note-taker {user's question}
General CRM/tool integration patterns (Zapier, webhooks)
/sales-integration {user's question}
Otherwise, answer directly using the platform reference below.
问题领域转至
构建辅导计划或培训节奏
/sales-coaching {用户问题}
查看特定呼叫转录内容以进行辅导
/sales-call-review {用户问题}
在笔记工具/对话智能平台之间做选择
/sales-note-taker {用户问题}
通用CRM/工具集成模式(Zapier、webhooks)
/sales-integration {用户问题}
除此之外,直接使用下方的平台参考内容进行解答。

Step 3 — Enthu.AI platform reference

步骤3 — Enthu.AI平台参考

Read
references/platform-guide.md
for the full platform reference — modules, pricing, integrations, data model, workflows.
Answer the user's question using only the relevant section. Don't dump the full reference.
**阅读
references/platform-guide.md
**获取完整平台参考——模块、定价、集成、数据模型、流程。
仅使用相关章节解答用户问题,不要输出完整参考内容。

Step 4 — Actionable guidance

步骤4 — 可落地指导

You no longer need the platform guide — focus on the user's specific situation.
Setup priority order:
  1. Connect your dialer/telephony first — calls must flow in before anything else works
  2. Build your QA scorecard with 5-8 evaluation criteria (start simple, add complexity later)
  3. Configure auto-scoring thresholds — which score ranges trigger coaching alerts
  4. Set up agent dashboards so reps can self-review before manager coaching
  5. Connect CRM last — once scoring is stable, push insights to HubSpot/Pipedrive
When comparing to Gong/enterprise tools: Enthu.AI's advantage is speed-to-value (hours not months) and no minimum commitments. Trade-off is thinner deal intelligence and revenue forecasting — Enthu focuses on QA and coaching, not pipeline analytics.
If you discover a gotcha, workaround, or tip not covered in
references/learnings.md
, append it there.
您无需再查阅平台指南——专注于用户的具体情况。
设置优先级顺序:
  1. 首先连接您的拨号器/电话系统——必须先确保呼叫数据流入,其他功能才能正常工作
  2. 创建包含5-8项评估标准的QA评分卡(从简单开始,之后再增加复杂度)
  3. 配置自动评分阈值——哪些分数范围会触发辅导提醒
  4. 设置坐席仪表盘,让员工在经理辅导前可以自我复盘
  5. 最后连接CRM——评分稳定后,将洞察推送至HubSpot/Pipedrive
与Gong/企业级工具对比时: Enthu.AI的优势是价值交付速度快(数小时而非数月)且无最低承诺。不足之处是交易智能和收入预测功能较薄弱——Enthu专注于QA和辅导,而非销售管道分析。
如果您发现
references/learnings.md
中未涵盖的陷阱、变通方案或技巧,请将其添加到该文档中。

Gotchas

注意事项

Best-effort from research — review these, especially items about plan-gated features and integration gotchas that may be outdated.
  • No public API documentation. Enthu mentions "secure APIs and pre-built connectors" but doesn't publish API docs. Custom integrations are built during onboarding — ask your account rep about specific integration needs before committing.
  • Pricing is opaque. Published prices range from $15/mo to $69/user/mo across review sites. Get a direct quote — pricing appears to vary by agent count, call volume, and commitment length.
  • Custom integrations at no extra charge — Enthu will build custom telephony integrations during onboarding if your dialer isn't in their supported list. This is a strong selling point but may add onboarding time.
  • 100% auto-scoring vs sampling. Enthu scores every call automatically — unlike tools that sample 2-5%. This means more coaching signal but also more noise. Set score thresholds to surface only the calls that need attention.
  • Reports lack drill-down by campaign or agent group. Users report that while reports work well, filtering by campaign or agent group is limited. Work around this by using consistent naming conventions for teams.
基于研究的最佳实践——请仔细查看这些内容,尤其是关于功能限制和集成陷阱的条目,这些信息可能已过时。
  • 无公开API文档。Enthu提到“安全API和预构建连接器”但未发布API文档。自定义集成需在上线期间构建——在决定使用前,请咨询您的客户代表了解特定集成需求。
  • 定价不透明。各评测网站显示的公开价格范围为每月15美元至每用户每月69美元。请直接获取报价——定价似乎会根据坐席数量、呼叫量和承诺时长有所不同。
  • 自定义集成不额外收费——如果您的拨号器不在支持列表中,Enthu会在上线期间为您构建自定义电话系统集成。这是一个强大的卖点,但可能会增加上线时间。
  • 100%自动评分 vs 抽样评分。Enthu会自动为每通呼叫评分——不同于仅抽样2-5%呼叫的工具。这意味着有更多辅导信号,但也会产生更多噪音。设置分数阈值,只显示需要关注的呼叫。
  • 报告缺乏按活动或坐席组的钻取功能。用户反馈,虽然报告功能运行良好,但按活动或坐席组筛选的功能有限。解决方法是为团队使用统一的命名规范。

Related skills

相关技能

  • /sales-call-review
    — Review specific sales calls and extract coaching insights
  • /sales-coaching
    — Build coaching programs, onboarding, role-plays, certifications
  • /sales-note-taker
    — Compare AI note-takers and conversation intelligence tools or wire APIs into CRM
  • /sales-jiminny
    — Jiminny platform help (coaching-focused conversation intelligence, mid-market Gong alternative)
  • /sales-outdoo
    — Outdoo platform help (AI roleplay coaching + conversation intelligence, mid-market Gong alternative)
  • /sales-gong
    — Gong platform help (enterprise revenue intelligence, Smart Trackers, deal boards)
  • /sales-do
    — Not sure which skill to use? The router matches any sales objective to the right skill. Install:
    npx skills add sales-skills/sales --skill sales-do
  • /sales-call-review
    — 查看特定销售呼叫并提取辅导洞察
  • /sales-coaching
    — 构建辅导计划、入职培训、角色扮演、认证
  • /sales-note-taker
    — 对比AI笔记工具和对话智能工具,或将API接入CRM
  • /sales-jiminny
    — Jiminny平台帮助(专注于辅导的对话智能工具,Gong的中端市场替代方案)
  • /sales-outdoo
    — Outdoo平台帮助(AI角色扮演辅导+对话智能,Gong的中端市场替代方案)
  • /sales-gong
    — Gong平台帮助(企业级收入智能、Smart Trackers、交易看板)
  • /sales-do
    — 不确定使用哪个技能?该工具会将任何销售目标匹配到合适的技能。安装方式:
    npx skills add sales-skills/sales --skill sales-do

Examples

示例

Example 1: Setting up QA scorecards

示例1:设置QA评分卡

User says: "I just signed up for Enthu.AI and need to set up QA scorecards for my 15-person support team" Skill does:
  1. Walks through connecting their dialer first (Aircall/RingCentral/etc.)
  2. Designs a starter scorecard with 5-8 evaluation criteria tailored to support calls
  3. Recommends auto-scoring thresholds for flagging calls that need coaching
  4. Sets up agent self-review dashboards Result: Working QA scorecard with auto-scoring and coaching alerts
用户提问:"我刚注册Enthu.AI,需要为我的15人支持团队设置QA评分卡" 技能操作
  1. 引导先连接拨号器(Aircall/RingCentral等)
  2. 设计适合支持呼叫的初始评分卡,包含5-8项评估标准
  3. 推荐用于标记需要辅导的呼叫的自动评分阈值
  4. 设置坐席自我复盘仪表盘 结果:可运行的QA评分卡,具备自动评分和辅导提醒功能

Example 2: Comparing Enthu.AI vs Gong

示例2:对比Enthu.AI与Gong

User says: "Should I go with Enthu.AI or Gong for my 30-agent contact center?" Skill does:
  1. Compares on QA scoring, coaching, CRM depth, pricing, and setup time
  2. Highlights Enthu's advantages (fast setup, no minimums, affordable) and gaps (no deal intelligence, limited API)
  3. Recommends Enthu if primary need is QA + coaching, Gong if need revenue intelligence + pipeline analytics Result: Clear decision framework based on their primary use case
用户提问:"我的30人联络中心应该选择Enthu.AI还是Gong?" 技能操作
  1. 对比QA评分、辅导、CRM深度、定价和设置时间
  2. 突出Enthu的优势(快速设置、无最低要求、价格亲民)和不足(无交易智能、API有限)
  3. 如果主要需求是QA+辅导,推荐Enthu;如果需要收入智能+销售管道分析,推荐Gong 结果:基于用户核心使用场景的清晰决策框架

Example 3: Integration not syncing

示例3:集成不同步

User says: "Enthu.AI isn't pulling calls from our Aircall setup" Skill does:
  1. Checks common integration issues (API key permissions, call recording enabled in Aircall)
  2. Verifies the dialer connection in Enthu.AI settings
  3. Recommends contacting Enthu support if self-service troubleshooting fails (custom integration support included) Result: Troubleshooting checklist for dialer integration issues
用户提问:"Enthu.AI无法从我们的Aircall设置中获取呼叫数据" 技能操作
  1. 检查常见集成问题(API密钥权限、Aircall中是否启用呼叫录音)
  2. 验证Enthu.AI设置中的拨号器连接
  3. 如果自助排查失败,建议联系Enthu支持(包含自定义集成支持) 结果:拨号器集成问题的排查清单

Troubleshooting

故障排查

Calls not appearing in Enthu.AI

呼叫未出现在Enthu.AI中

Symptom: Dialer is connected but calls don't show up for scoring Cause: Call recording may not be enabled in the dialer, or the integration API key may lack permissions Solution: Verify recording is enabled in your dialer settings (Aircall, RingCentral, etc.), re-check the API credentials in Enthu.AI's integration panel, and ensure the connected workspace matches your dialer workspace. If using a custom integration, contact Enthu support — custom integrations are built during onboarding and may need adjustment.
症状:拨号器已连接,但呼叫未显示用于评分 原因:拨号器中可能未启用呼叫录音,或集成API密钥权限不足 解决方案:验证拨号器设置中是否启用录音(Aircall、RingCentral等),重新检查Enthu.AI集成面板中的API凭证,确保连接的工作区与拨号器工作区匹配。如果使用自定义集成,请联系Enthu支持——自定义集成是在上线期间构建的,可能需要调整。

QA scores seem inconsistent

QA评分似乎不一致

Symptom: Similar calls getting very different auto-scores Cause: Scorecard criteria may be too vague or overlapping, leading to inconsistent AI interpretation Solution: Make each scorecard criterion specific and binary where possible (e.g., "Did the agent confirm the customer's name?" not "Was the opening professional?"). Start with 5 clear criteria and add complexity after calibrating on 50+ scored calls.
症状:相似的呼叫获得差异很大的自动评分 原因:评分卡标准可能过于模糊或重叠,导致AI解读不一致 解决方案:让每个评分卡标准尽可能具体,尽可能采用二元判断(例如:"坐席是否确认了客户姓名?"而非"开场是否专业?")。从5项清晰的标准开始,在完成50+通呼叫的评分校准后再增加复杂度。

Reports not showing team-level trends

报告未显示团队层面的趋势

Symptom: Can see individual agent scores but no team aggregation Cause: Enthu's reporting has limited drill-down by campaign or agent group Solution: Use consistent agent naming and team tags. Export data to a spreadsheet for team-level aggregation if built-in grouping is insufficient. Request team-level dashboards from your Enthu account rep — the product is actively adding reporting features.
症状:可以查看单个坐席的评分,但无法查看团队汇总数据 原因:Enthu的报告按活动或坐席组钻取的功能有限 解决方案:使用统一的坐席命名和团队标签。如果内置分组功能不足,将数据导出到电子表格进行团队层面的汇总。向您的Enthu客户代表请求团队层面的仪表盘——该产品正在积极添加报告功能。