Flows

User flow analysis (the Sankey diagram) identifies the most frequent paths taken by users to or from any event. You can learn the following from paths:

• What did users do immediately after signing up?
• Where are users getting confused or stuck?
• Which parts of your app people are actually using?
• Why users aren’t discovering new features?
• Where new users are landing on your website?

Understand how your users sequentially perform events in your product and analyze drop-offs or unsuccessful behavior.

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How to analyze user paths

User flows show you the actual paths users take through your app, not just the paths you designed. This guide walks you through creating and analyzing flow charts.

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What is a Sankey diagram?

A Sankey diagram visualizes user journeys as flowing paths. The width of each path represents the number of users taking that route. Wider paths = more common behavior. Unlike funnels (which track a specific sequence), flows reveal all paths users take, including unexpected ones.

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Step 1: Navigate to Flows

1. Go to the Formo Dashboard
2. Select your project
3. Click Flows in the left navigation

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Step 2: Choose your starting point

Flows can start from any event. Select what you want to analyze:

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Step 3: Configure the flow

1. Select Starting event (e.g., connect)
2. Choose Direction:
   • Forward: What happens after this event
   • Backward: What led to this event
3. Set Number of steps (typically 3-5)
4. Click Generate

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Step 4: Read the flow chart

The Sankey diagram shows:

• Nodes: Events (pages, actions, conversions)
• Paths: User journeys between events
• Width: Number of users (wider = more common)
• Drop-off: Users who left the flow

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Step 5: Identify patterns

Look for these insights: Common paths:

• Wide paths show your most frequent user journeys
• Do they match your intended UX flow?

Unexpected paths:

• Narrow paths to unexpected destinations
• Users skipping steps or taking detours

Dead ends:

• Where do users leave the flow?
• High drop-off at certain pages = friction points

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Example: Post-connect analysis

Analyze what users do after connecting their wallet: | Starting event | connect | | Direction | Forward | | Steps | 4 | Typical findings:

• 60% go to /swap (expected)
• 20% go to /portfolio (checking balances)
• 10% disconnect immediately (issue with UX?)
• 10% navigate to /docs (need help?)

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Example: Path to conversion

See how users reach a conversion event: | Starting event | Your conversion event (e.g., Swap) | | Direction | Backward | | Steps | 3 | Questions to answer:

• What pages do converters visit first?
• Do they explore multiple features before converting?
• Is there a common path to conversion?

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Use flows with funnels

Flows and funnels complement each other: Workflow:

1. Use Flows to discover common paths
2. Create Funnels to measure conversion on those paths
3. Use Flows again to investigate drop-off points

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Next Steps