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# System prepended metadata

title: 'Homework : Suno Journey A/B Test Experience'

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# Homework : Suno Journey A/B Test Experience

:::info
- User Journey (從開始用到現在的體驗)
- Three experiments I want to design (三個我想設計的實驗)
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## User Journey (從開始用到現在的體驗)

Pick a product that you love using (spotify, linkedin, etc)
- Describe the user journey of the things you loved about it from the moment you started using it to your use of it now

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### First Use
I initially signed up for Suno out of curiosity about the power of AI music composition. Because when I work, I listen to some focused music, and I want to try to make my own channel.

The process was incredibly fast: enter a text prompt (e.g., "lofi hiphop for studying") → music generated in seconds. This "instant gratification" was my first love.

### Medium-Term Use
I then began experimenting with more genres (jazz, blues, swing jazz, ambient) and even create some music with lyrics. I love that I can experiment with different styles like a music producer without a music background.

### Current Use
I currently use Suno primarily for:
Quickly generating background music (for work/focus/study/relax).

Sharing AI-generated music on YouTube, Spotify, Apple Music channel, etc.

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## Three experiments I want to design (三個我想設計的實驗)

Describe 3 experiments
- You should detail out the allocation of each test cell and the different conditions you’re testing
- Your hypothesis of which leading and lagging metrics would be impacted by this experiment

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### 實驗 1：新手留存 – Custom 教學 （Experiment 1: New User Retention – Custom Tutorial）

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#### 假設 (Hypothesis)
新手第一次使用 Suno 的 **Custom 功能**時，常覺得過於複雜，只會用最簡單的 Simple 模式
如果提供：
- 「+Audio / +Persona / +Inspo」的彈跳真人影片教學
- 「情境選單」彈跳真人影片教學（如健身歌、學習背景音、抖音熱門風格）
則能讓新手更快體驗成功，提升留存

When new users first try the **Custom feature* in Suno, they often feel it’s too complex and stick to the simplest Simple mode.
If we provide:

- Pop-up tutorial videos introducing “+Audio / +Persona / +Inspo”
- Contextual pop-up tutorials (e.g., workout songs, study background music, TikTok trending styles)

then users will experience success faster, improving retention.

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#### 實驗設置 (Experiment Setup)
- 對象：新註冊用戶，首次進入 Custom 功能者
- 平台：Suno official Web
- 期間：約 1–2 週，涵蓋至少一個 D7 留存觀測窗 

- Target: Newly registered users, first-time Custom users
- Platform: Suno official Web
- Duration: About 1–2 weeks, covering at least one D7 retention window

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#### 實驗設計 (Test cells)
- **Control**：現況（無教學）
- **Treatment A**：功能導向影片（介紹 +Audio / +Persona / +Inspo，含範例 prompt）
- **Treatment B**：情境導向影片（健身 / 學習 / 短影音情境，含一鍵模板）
- **Treatment C**：輕量教練模式（逐步小浮層引導填寫）

分配比例：平均分組 (25% each)

- Control: Current experience (no tutorial)
- Treatment A: Feature-oriented tutorial (introducing +Audio / +Persona / +Inspo, with sample prompts)
- Treatment B: Context-oriented tutorial (workout / study / short-video templates, with one-click options)
- Treatment C: Light coaching mode (step-by-step tooltips guiding input)

Allocation ratio: equal split (25% each)

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#### 指標 (Metrics)

##### Primary (核心目標指標 / Primary Metrics)

- 首次成功生成率 (First-Session Success Rate)
- 首次成功生成所需時間 (Time to First Success)
- Day 1 Custom 使用率 (Day 1 Custom Usage Rate)

##### Leading (前導指標 / Leading Indicators)

- 平均生成數 (Day 0–1 Average Generations)
- 範例/模板使用率 (Example/Template Usage Rate)
- 放棄率 (Abandonment Rate: started filling but didn’t click Generate)

##### Lagging (滯後指標 / Lagging Metrics)

- Day 7 留存率 (Day 7 Retention Rate)
- Day 7 Custom 重複使用率 (Day 7 Custom Repeat Usage Rate)
- 付費轉換率 (Trial → Subscription Conversion Rate)

##### Guardrails (護欄指標 / Guardrail Metrics)

- 首屏載入時間 (First-Screen Load Time)
- 客訴/錯誤率 (Customer Complaint / Error Rate)


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### 實驗 2：手機版版面優化 – 加入 +Audio / +Persona / +Inspo (Experiment 2: Suno Mobile UI Optimization – Adding +Audio / +Persona / +Inspo)

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#### 假設 (Hypothesis)
Suno **手機版**目前並沒有「+Audio / +Persona / +Inspo」的入口，導致新手在手機上使用 **Custom 功能**時，多數人僅使用歌詞和風格功能，生成率有限

如果在手機版的 **Custom 版面**中： 
- 加入「+Audio / +Persona / +Inspo」的明顯入口 
- 或提供簡化的一鍵選項（如快速添加音色、角色、靈感） 

則能降低使用摩擦，提升首次生成成功率與整體生成率

Currently, the **Suno mobile app** does not show “+Audio / +Persona / +Inspo” options. 
This causes new users to mostly stick to the lyric and style functions, limiting generation success. 

If we update the **Custom UI on mobile** by:
- Adding clear entry points for “+Audio / +Persona / +Inspo” 
- Or providing simplified one-click options (e.g., quick add for audio style, persona, or inspiration) 

then first-session success and overall generation rate will increase. 

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#### 實驗設置 (Experiment Setup) 
- **對象 (Target):** Suno 手機版 Custom 功能者 
- **平台 (Platform):** Suno Mobile (iOS / Android) 
- **期間 (Duration):** 約 1–2 週，涵蓋至少一個 D7 留存觀測窗 

- **Target:** Users on mobile 
- **Platform:** Suno Mobile (iOS / Android) 
- **Duration:** About 1–2 weeks, covering at least one D7 retention window 

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#### 實驗設計 (Test Cells) 
- **Control**：現況（無 +Audio / +Persona / +Inspo） 
- **Treatment A**：在版面中加入「+Audio / +Persona / +Inspo」按鈕（小圖示 + 簡短說明） 
- **Treatment B**：簡化版入口（如一鍵添加「角色 / 音色 / 靈感」的快捷按鈕） 
- **Treatment C**：混合設計（顯示「+Audio / +Persona / +Inspo」按鈕 + 精選一鍵模板區） 

分配比例：平均分組 (25% each) 

- **Control:** Current layout (no +Audio / +Persona / +Inspo) 
- **Treatment A:** Add “+Audio / +Persona / +Inspo” buttons in layout (with small icons + short hints) 
- **Treatment B:** Simplified quick-add options (one-tap Persona / Audio style / Inspiration) 
- **Treatment C:** Hybrid design (full +Audio / +Persona / +Inspo buttons + curated one-click templates) 

Allocation ratio: equal split (25% each) 

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#### 指標 (Metrics)

##### Primary (核心目標指標 / Primary Metrics) 
- 首次成功生成率 (First-Session Success Rate) 
- 首次成功生成所需時間 (Time to First Success)
- Day 1 Custom 使用率 (Day 1 Custom Usage Rate) 

##### Leading (前導指標 / Leading Indicators) 
- 平均生成數 (Day 0–1 Average Generations) 
- +Audio / +Persona / +Inspo 使用率 (Usage Rate of new options) 
- 放棄率 (Abandonment Rate: started filling but didn’t click Generate) 

##### Lagging (滯後指標 / Lagging Metrics) 
- Day 7 留存率 (Day 7 Retention Rate) 
- Day 7 Custom 重複使用率 (Day 7 Custom Repeat Usage Rate) 

##### Guardrails (護欄指標 / Guardrail Metrics) 
- 首屏載入時間 (First-Screen Load Time) 
- 客訴/錯誤率 (Customer Complaint / Error Rate) 

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### 實驗 3：AI 靈感推薦 – 增加生成深度 (Experiment 5: Personalized Prompts – Encouraging Continued Generation)

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#### 假設 (Hypothesis) 
目前部分新用戶只嘗試生成一首歌後便離開，缺乏繼續探索的動機
如果在用戶生成完第一首歌後，系統能馬上推薦「下一個可以嘗試的風格 / 人設 / 靈感」

例如： 
- 你剛創作了學習背景音 → 推薦「Lo-fi」或「專注爵士」 
- 你剛創作了健身歌 → 推薦「EDM」或「搖滾風格」 

則能引導用戶持續創作，降低「一次性使用」的情況，提高平均生成數與留存

Some new users generate only one song and then leave, lacking motivation to continue exploring. 
If, immediately after generating their first song, the system recommends “the next style / persona / inspiration to try” 

Such as: 
- After creating study background music → suggest Lo-fi or Focus Jazz 
- After creating a workout track → suggest EDM or Rock style 

then users will be encouraged to keep creating, reducing one-time usage and increasing average generations and retention. 

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#### 實驗設置 (Experiment Setup) 
- **對象 (Target):** 新註冊並至少完成 1 次生成的用戶（Web + Mobile） 
- **平台 (Platform):** Suno official Web & Mobile 
- **期間 (Duration):** 約 1–2 週，涵蓋至少一個 D7 留存觀測窗 

- **Target:** Newly registered users who have generated at least once (Web + Mobile) 
- **Platform:** Suno official Web & Mobile 
- **Duration:** About 1–2 weeks, covering at least one D7 retention window 

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#### 實驗設計 (Test Cells) 
- **Control**：現況（生成後無進一步建議） 
- **Treatment A**：生成後顯示固定建議（3 種常用風格，例如 Lo-fi、Pop、EDM） 
- **Treatment B**：生成後顯示「依照第一次生成內容」的動態推薦 
- **Treatment C**：生成後顯示「動態推薦 + 一鍵生成按鈕」 

分配比例：平均分組 (25% each) 

- **Control:** Current experience (no post-generation recommendations) 
- **Treatment A:** Show fixed suggestions (3 common styles such as Lo-fi, Pop, EDM) 
- **Treatment B:** Dynamic recommendations based on user’s first generation 
- **Treatment C:** Dynamic recommendations + one-click generate buttons 

Allocation ratio: equal split (25% each) 

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#### 指標 (Metrics) 

##### Primary (核心目標指標 / Primary Metrics) 
- 平均生成數 (Day 0–1 Average Generations) 
- 第二次生成率 (Second-Generation Rate) 
- Day 1 Custom 使用率 (Day 1 Custom Usage Rate) 

##### Leading (前導指標 / Leading Indicators) 
- 推薦點擊率 (Recommendation Click-through Rate) 
- 一鍵生成使用率 (One-click Generate Usage Rate)
- 放棄率 (Abandonment Rate: generated once but left) 

##### Lagging (滯後指標 / Lagging Metrics) 
- Day 7 留存率 (Day 7 Retention Rate) 
- Day 7 Custom 重複使用率 (Day 7 Custom Repeat Usage Rate) 

##### Guardrails (護欄指標 / Guardrail Metrics) 
- 首屏載入時間 (First-Screen Load Time) 
- 客訴/錯誤率 (Customer Complaint / Error Rate) 
