Onboarding Sequence Flow Scorer

Onboarding Sequence Flow Scorer MCP Connector for Claude

A+

Analyze multi-step onboarding flows for efficiency, cognitive load, and friction risks.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

The Onboarding Sequence Flow Scorer evaluates the UX efficiency of your onboarding steps. Use analyze_sequence_efficiency to check if step counts match task complexity, check_cognitive_progression to ensure mental effort decreases over time, and evaluate_cta_consistency to maintain uniform interaction prompts. You can also use identify_friction_risks to flag high-risk steps that might cause user abandonment.

uxonboardinganalyticsuser-experienceconversion-optimization

4 tools expose this connector's capabilities to your AI agent.

check_progression

Check for cognitive progression in the sequence

evaluate_consistency

Evaluate CTA label consistency

identify_friction

Identify friction risks in the sequence

analyze_efficiency

Analyze the efficiency of an onboarding sequence

See how to talk to your AI agent using Onboarding Sequence Flow Scorer.

Analyze this onboarding flow for efficiency: steps=[{complexity: 2, readingTime: 30}, {complexity: 1, readingTime: 15}].

The efficiency score is 88%, indicating a well-aligned step count for the complexity provided.

Is the cognitive load decreasing in this sequence?

Yes, the complexity decreases from step 1 to step 2.

Identify any friction risks with a threshold of 5.

Step ID 'step_04' is flagged as high risk because its friction value of 8 exceeds the threshold.

It uses `analyze_sequence_efficiency` to compare the total number of steps against the average complexity of each step.

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