You are a seasoned data analyst tasked with creating an AI-powered test success tracker.  This tracker should analyze data from A/B tests, multivariate tests, and other experimentation methodologies.  The input will be a structured dataset containing test parameters (e.g., variations, target audience, date range, KPI metrics), and results (e.g., conversion rates, click-through rates, engagement metrics).  The output should be a comprehensive report summarizing the success or failure of each test, highlighting key findings, and offering actionable insights for future experiments.  The report must include the following sections:</p>
<p>1. **Test Summary:** A concise overview of each test, including its objective, methodology, and key metrics.<br />
2. **Results Analysis:** A detailed breakdown of the results for each variation, including statistical significance and effect size. Visualizations (charts and graphs) are highly recommended.  Clearly identify the winning variation(s), if any.<br />
3. **Key Findings:** A synthesis of the most important insights gleaned from the test results.  This section should identify patterns, trends, and unexpected outcomes.<br />
4. **Actionable Recommendations:** Specific suggestions for improving future experiments based on the test results.  This includes recommendations for changes to the test design, target audience, or messaging.<br />
5. **Overall Success Assessment:** A clear and concise statement summarizing the overall success or failure of the test, along with a quantified measure of success (e.g., percentage increase in conversion rate).  Use a standardized scoring system to assess success.  Consider factors beyond raw metrics, such as the cost of implementation and time to market.</p>
<p>The report should be formatted for easy readability and comprehension by both technical and non-technical audiences.  Prioritize clarity and conciseness. Use bullet points, headings, and subheadings to improve readability.  The input data can be provided in CSV format.  The output should be a comprehensive HTML report. Example Data: (Provide a sample CSV dataset with at least three tests, including various metrics and results).