Who should use the Conversion Optimization workflow?
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Work
Practical execution plan for conversion optimization with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
A permanent conversion uplift and a pipeline of new test ideas.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A permanent conversion uplift and a pipeline of new test ideas.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Formulas HQ to a prioritized list of conversion bottlenecks with supporting data. Then, you pass the output to Mistral AI Models to a ranked list of 5-10 test hypotheses with clear success metrics. Then, you pass the output to Evolv AI to at least one a/b test variant ready to launch with tracking verified. Then, you pass the output to Evolv AI to a statistically significant result showing which variant performed better. Then, you pass the output to Evolv AI to a documented insight that can be applied to other pages or tests. Finally, Devin is used to a permanent conversion uplift and a pipeline of new test ideas.
Audit Current Conversion Funnel
A prioritized list of conversion bottlenecks with supporting data.
Generate Hypothesis-Driven Test Ideas
A ranked list of 5-10 test hypotheses with clear success metrics.
Design and Build A/B Test Variants
At least one A/B test variant ready to launch with tracking verified.
Run A/B Test and Collect Data
A statistically significant result showing which variant performed better.
Analyze Results and Extract Insights
A documented insight that can be applied to other pages or tests.
Implement Winning Variant and Iterate
A permanent conversion uplift and a pipeline of new test ideas.
Map the user journey from landing to conversion, identify drop-off points using analytics and heatmaps. Prioritize pages with highest traffic but lowest conversion rates.
Why Formulas HQ: Formulas HQ provides Excel and Google Sheets formula generation, which directly supports the data analysis and spreadsheet needs of auditing a conversion funnel.
Based on audit findings, brainstorm specific changes (e.g., button color, copy, form length) that could reduce friction. Use CRO frameworks like LIFT Model or ICE scoring to rank ideas.
Why Mistral AI Models: Mistral AI Models can generate text-based hypotheses and structured test ideas, which aligns with the need for hypothesis generation and ICE scoring documentation.
Create the control (current version) and one or more variants for each hypothesis. Use a visual editor or custom code to implement changes, ensuring proper tracking.
Why Evolv AI: Evolv AI directly supports generating and deploying AI-powered UX improvements and multivariate testing, which matches the need for designing and building A/B test variants.
Launch the test with a minimum sample size calculator (e.g., 90% power, 5% significance). Let it run until statistical significance is reached, avoiding early peeking.
Why Evolv AI: Evolv AI conducts real-time multivariate testing and personalization, which directly fulfills the requirement to run A/B tests and collect data.
Beyond the winning variant, analyze segment-level data (e.g., new vs. returning users, device type) to understand why the change worked. Document learnings for future tests.
Why Evolv AI: Evolv AI identifies conversion blockers and generates insights from testing, which aligns with analyzing results and extracting actionable insights.
Permanently deploy the winning variant to all users. Then, use the insight to generate new hypotheses for further optimization, creating a continuous improvement loop.
Why Devin: Devin provides end-to-end feature development and code deployment capabilities, which directly supports implementing the winning variant and iterating.
§ Before you start
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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