Team-Based Activation
"The reason I say team instead of user is... ultimately security is a team sport. That team might be one person, in which case a user is equivalent to team, but often a team is multiple people and we actually expect different people to fulfill different parts of the team activation journey." - Ben Williams
What It Is
A framework for defining activation metrics around teams rather than individual users, particularly for B2B products where value is delivered collectively. Rather than tracking whether an individual user performed a specific action, you track whether a team has formed a habit around deriving core value from your product.
This approach recognizes that in team-oriented products:
- Different people fulfill different parts of the activation journey
- Some value-creating activity happens off-platform
- A single "activated" user may enable dozens of team members to benefit
How It Works
Three Moments in the Activation Journey
Setup Moments: Team creates account, connects integrations, configures settings. May be completed by a single "champion" user.
Aha Moments: Team experiences core value for the first time. Might be distributed across multiple team members.
Habit Moments: Team forms a habit around deriving core value repeatedly. This is activation.
Snyk's Example
- Core value: Fixing vulnerabilities (not just finding them, not just logging in)
- Activation metric: Team fixes a vulnerability within 30 days of team creation
- Why 30 days: Strong correlation with 3-month retention
- Retention metric: Team is still fixing vulnerabilities at 3+ months
Why Teams, Not Users
- Security is a team sport - Multiple roles contribute to the journey
- Off-platform activity - Some value (like fixing code) happens outside the product
- One setup, many beneficiaries - One person connecting repos enables many developers to benefit
How to Apply It
Identify your core personas - Who are the different users involved in team activation? What roles do they play?
Define your core value action - What action represents actually deriving value? (Not setup, not awareness—the real value)
Collect baseline data - Build instrumentation to track team-level behaviors over time
Find the habit moment - Use ML models and qualitative research to find which early team behaviors correlate with long-term retention
Work backward - Once you find the habit moment, identify the aha and setup moments that lead to it
Map user behaviors to team outcomes - Identify which individual user actions influence team-level activation
When to Use It
- For B2B products where value is delivered to teams, not individuals
- When a single user's setup enables many others to benefit
- When key value-creating actions happen off-platform
- When different personas play different roles in the activation journey
- When individual user activation metrics don't correlate with retention
Source
- Guest: Ben Williams
- Episode: "How Snyk built a product-led growth juggernaut"
- Key Discussion: (01:19:28) - Detailed explanation of team-based activation at Snyk
- YouTube: Watch on YouTube
Related Frameworks
- Marginal User Focus - Finding users on the cusp of converting
- Opinionated Defaults - Guide teams to good outcomes through defaults