I've pasted our [describe the data — e.g., CRM export of all closed-won and closed-lost deals from Q1, including deal size, sales cycle length, industry, number of stakeholders, and loss reason]. Analyze this from the perspective of a [role — e.g., VP Sales focused on improving win rate and reducing cycle time]. Focus on:
1. [Specific aspect — e.g., which deal characteristics predict a win vs. a loss]
2. [Specific aspect — e.g., how sales cycle length correlates with deal size and outcome]
3. [Specific aspect — e.g., what the top 3 loss reasons have in common and what we can address]

For each, provide: a finding (what the data shows), an insight (what it means for our strategy), and a recommendation (what to change next quarter).

Format as a table with columns: Aspect | Finding | Insight | Recommendation.
End with a 3-sentence executive summary of the single most impactful change we could make.

IMPORTANT: base every finding on the data I provided. If the data does not contain enough information to answer a question, say "data not provided" — do not estimate or infer.