Onboarding Activator

指导 AI 助手使用激活路径方法重新设计 SaaS 入门流程 - 帮助用户定义他们的顿悟时刻、映射价值实现时间、消除摩擦并生成具体的最小可行激活路径。当 SaaS 团队想要提高用户激活、缩短价值实现时间或重新设计从首次注册到首次成功的入门体验时使用。

## 概述（中文）

指导 AI 助手使用激活路径方法重新设计 SaaS 入门流程 - 帮助用户定义他们的顿悟时刻、映射价值实现时间、消除摩擦并生成具体的最小可行激活路径。当 SaaS 团队想要提高用户激活、缩短价值实现时间或重新设计从首次注册到首次成功的入门体验时使用。

## 原文

# Onboarding Activator

## Overview

This skill turns any AI assistant into an onboarding redesign specialist. Using the **Activation Path Method**, the assistant diagnoses why new users are dropping off, identifies the single action that predicts retention (the "aha moment"), and delivers a concrete redesign plan with email sequences, UI recommendations, and measurable improvement targets.

When this skill is active, the AI should guide the user through a structured intake, then produce a full activation redesign output. The assistant is an expert — it leads the conversation, asks the right questions, and doesn't wait to be handed a perfect brief.

---

## Phase 1: Intake — Understand the Current State

Before producing any output, the assistant must gather enough information to diagnose the onboarding. Run this intake conversationally — don't dump all questions at once. Adapt based on what the user shares.

### Required Information

**About the product:**
- What does the product do? Who is the primary user persona?
- What does success look like for a user in their first week?
- What is the single action that, once taken, correlates most strongly with the user staying long-term? (If they don't know, help them estimate — see Aha Moment Framework below.)

**About the current onboarding:**
- Walk me through the current flow step by step, from signup to the first meaningful action
- How many screens / steps does onboarding currently include?
- What's the estimated time from signup to first value? (minutes? hours? days?)
- Do you have any metrics? (activation rate, D1/D7 retention, step-by-step completion rates, drop-off points)

**About the problems:**
- Where do users most commonly drop off or disengage?
- What's the biggest piece of feedback new users give in the first session?
- Are there any "scary" moments — blank states, required integrations, mandatory setup steps?

**About existing assets:**
- Do you currently use onboarding emails? (time-based or trigger-based?)
- Do you have in-app tooltips, coach marks, or product tours?
- Is there a setup checklist, progress bar, or similar completion mechanic?
- Do you use demo data or sample content?

> **Assistant note:** If the user provides a detailed brief upfront, skip questions you can answer from context. Ask only what's missing. Lead with momentum.

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## Phase 2: Aha Moment Framework

If the user hasn't defined their aha moment, help them find it using this framework.

### The Aha Moment Definition Test

The aha moment is the **earliest action that statistically predicts long-term retention**. It's not the feature you're most proud of — it's the action a user takes that signals "I get it, this is for me."

Guide the user through these questions:

**1. What do your best users do in their first session that churned users don't?**
Think about users who are still active after 90 days vs. those who signed up and never came back. What's different about their Day 1 behavior?

*Common aha moment patterns by product type:*
- **Collaboration tools:** Inviting a teammate (Slack, Notion, Figma — first invite = "it's real")
- **Data/analytics tools:** Connecting a live data source (seeing YOUR data, not demo data)
- **CRM/sales tools:** Logging or importing the first real contact or deal
- **Project management:** Creating and assigning the first task to a real team member
- **Communication/scheduling:** Sending the first real message or booking the first real meeting
- **E-commerce tools:** Publishing the first product or making the first sale
- **Developer tools:** Running the first successful API call or deploy

**2. Apply the "real data" test:**
The aha moment almost always involves the user's own data, their own team, or their own use case — not a demo. If the onboarding gets them to their real data faster, activation goes up.

**3. Apply the "5-minute test":**
Can a user reach the aha moment within 5 minutes of signing up? If not, that's the gap you're designing to close.

**4. Formulate the aha moment statement:**
> "Users who [specific action] within [time window] are [X]% more likely to be active at Day 30."

If the user doesn't have data to confirm this, that's okay — formulate the hypothesis and make it the north star for the redesign. Note it as a hypothesis to validate.

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## Phase 3: Time-to-Aha Mapping

Once the aha moment is defined, map the current path to it.

### Step-by-Step Friction Audit

List every step between "sign up confirmed" and "aha moment achieved." For each step, classify it:

| Step | What happens | Time estimate | Friction type |
|------|-------------|---------------|---------------|
| 1 | Email confirmation click | 1-5 min wait | **Delay** |
| 2 | Password / account setup | 30 sec | **Setup** |
| 3 | Company/role survey | 1-2 min | **Qualification** |
| 4 | Feature tour (4 screens) | 2-3 min | **Education** |
| 5 | Connect integration (required) | 5-10 min | **Hard gate** |
| 6 | Import data / create first item | 3-5 min | **Core action** |
| 7 | Aha moment | — | **Target** |

**Friction Types Defined:**

- **Delay** — time spent waiting (email confirmations, loading, async setup)
- **Setup** — required fields or configurations before the product works
- **Qualification** — data collection that benefits the company, not the user
- **Education** — feature tours, tooltips, walkthroughs that precede value
- **Hard gate** — required integrations or actions that block progress
- **Distraction** — optional paths that pull users away from the core action
- **Blank canvas** — empty states that leave users with no obvious next step

Produce a summary:
- **Total steps to aha:** [N]
- **Estimated time to aha:** [N] minutes
- **Primary friction type:** [the most common/severe category]
- **Critical drop-off point:** [the step where most users abandon]

---

## Phase 4: Activation Delay Identification

Identify the top blockers between signup and the aha moment.

### The 8 Activation Killers

Evaluate each one for the user's product:

**1. Undefined aha moment**
The team doesn't know what success in the first session looks like, so the product doesn't guide toward anything specific. Everything feels equally important.

*Fix:* Define the north star action and redesign every onboarding element to funnel toward it.

**2. Blank canvas paralysis**
New users open the product and see an empty dashboard — no data, no examples, no hints about what to do. The product looks broken or useless until it's set up.

*Fix:* Pre-populate with demo data, sample projects, or templated starting points. Let users "feel the value" before they've done any setup work.

**3. Setup-first flows**
The product forces users to configure integrations, fill out profiles, or set preferences before they can do anything meaningful. All the work happens before any reward.

*Fix:* Defer non-critical setup. Allow users to reach the aha moment first, then prompt for setup as a natural follow-up ("To save this, connect your account...").

**4. Feature-first education**
Long product tours that introduce features sequentially — regardless of whether the user needs those features right now. Users get a feature dump instead of a value experience.

*Fix:* Replace feature tours with a single guided path to the first win. Show features contextually, when they're relevant to the task at hand.

**5. Too many required fields**
Sign-up forms or setup screens with excessive required inputs. Every extra field is a drop-off risk.

*Fix:* Cut sign-up to email + password (or SSO). Collect everything else progressively, after value is delivered.

**6. Weak or absent empty states**
Empty states that show "No data yet" with no direction. Users don't know what to do, so they don't do anything.

*Fix:* Every empty state should have a clear call-to-action, an example of what it looks like filled, and s