Onboarding project | You.com
About You.com
AI productivity platform for Individuals, Teams, and Businesses
Ideal Customer Profile
| Criteria | ICP 1 for personal use | ICP 2 for team |
|---|---|---|
Who? | Working Professional | Startup Founder |
Company Size | Not Applicable | Series A Startup |
Social Platforms | LinkedIn, X, Instagram | LinkedIn, X |
Time vs Money | Money>Time | Time>Money |
Usage Frequency | 5/week | 5/week |
Features that they value | Agents, Modes, Sources, Models, Personalization, File Uploads, Image Generation, Private Custom Agents, Chat History, Access on web, iOS, Android | Admin roles, Security(SSO, SOC2), Central Billing System, Custom Data Sources(upcoming), Dedicated Workspace, Bulk Member Management, Privacy(Zero Data Retention, Private Custom Agents, No Model Training), Share Custom Agents with Workspace |
Alternatives | LLMs, other AI Agents & Aggregators, Google | LLMs, Notebook LM, other AI Agents & Aggregators, Google |
User Goals & JTBD
ICP 1
Tara, marketing professional
→ wants to be more productive at work
JTBD
Functional Goal - Workplace productivity
Social Goal - Impress Boss/Colleagues(secondary)
ICP 2
Raju, founder of a Series A start up
→ wants to improve his team’s efficiency
JTBD
Functional Goal - Improve team’s work efficiency
Hypothesis 1: Start chat within 3 minutes of signup
Reasoning: If a user initiates a chat within three minutes of signing up, it indicates that the onboarding process is effective and the user finds the interface intuitive. This quick engagement suggests that the user is motivated to explore the tool immediately, reflecting a positive first impression and ease of use.
Hypothesis 2: Use more than one mode on day 1
Reasoning: Engaging with multiple modes on the first day suggests that the user is actively exploring the platform's features. This behavior implies that the user is intrigued by the different functionalities available, indicating a higher level of engagement and potential satisfaction with the tool.
Hypothesis 3: Uses all the 3 premium queries on day 1
Reasoning: Since free users have a limit of three premium queries per day, utilizing all three on the first day indicates that the user is eager to test the advanced features of the platform. This suggests that the user is finding value in the tool and is likely enjoying the experience, which could lead to higher retention rates.
Hypothesis 4: Use pre-built agents within 3 days
Reasoning: The utilization of pre-built agents tailored for specific use cases within three days of signup indicates that the user has moved beyond initial exploration and is beginning to integrate the tool into their workflow. This behavior suggests that the user finds the tool helpful and is likely to continue using it, reflecting strong user stickiness.
Hypothesis 5: Upload files within 3 days
Reasoning: If a user uploads files within three days, it signifies a level of trust in the platform and a desire to get personalized results from their own data. This action typically indicates that the user is transitioning from casual exploration to serious usage, suggesting a deeper engagement with the tool's advanced features.
Hypothesis 6: 100 queries within 7 days
Reasoning: Achieving 100 queries in the first week suggests that the user is actively using the tool and has developed a habit of engaging with it. This high level of interaction indicates that the user finds value in the tool, which is a strong predictor of long-term retention and satisfaction.
Hypothesis 7: Create a custom agent within 7 days
Reasoning: Creating a custom agent within the first week indicates that the user is not only exploring but also personalizing their experience with the tool. This behavior suggests a commitment to using the tool for serious work, which is likely to enhance retention as users invest time in tailoring the platform to their specific needs.
Metrics to track
- D1, D7, and D30 retention: Measures user engagement over time.
- Average queries per user per day, week, and month: Indicates user activity and engagement levels.
- Free user to paid user conversion rate: Assesses the effectiveness of monetization strategies.
- Most used modes/models/agents: Identifies popular features for optimization.
- Average number of custom agents created per user: Reflects user engagement with advanced features and customization of the platform.
- User cohorts: Reveals insights into user segments that drive engagement.
- Acquisition source: Identifies effective marketing channels for resource allocation.
- Feedback & Feature requests: Gathers user input to prioritize improvements and enhance satisfaction.
- Churn rate: Measures the percentage of users leaving, indicating retention issues.
- Churn reasons: Identifies factors causing disengagement.
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