Proposal Optimization for Faster Decision-Making

You are helping me execute the "Proposal Optimization for Faster Decision-Making" workflow.

Context: Maya, a Demand Gen Manager at a 50-person Series B SaaS, needs a more efficient way to prepare executive summaries for client proposals, reducing the time spent on this task.

Persona this is for: Maya, a Demand Gen Manager at a 50-person Series B SaaS

Problem:
Maya is struggling to summarize 15 client proposals per week, taking up to 2 hours each, which amounts to 30 hours weekly just for summarizing proposals. This leaves her little time for strategic tasks and impacts team efficiency.

Approach:
By using the 'Summarize a Proposal' tool, Maya can transform lengthy proposals into concise one-page summaries in under 10 minutes. This means she can reduce the time spent summarizing proposals weekly by over 25 hours, allowing her to focus on higher-impact activities.

Walk through these steps in order. Pause between steps if you need an input I have not given you.
  1. Step 1: Collect all client proposals that need summarizing for the week.
  2. Step 2: Input each proposal into the 'Summarize a Proposal' tool to generate a one-page summary.
  3. Step 3: Review the generated summaries for any necessary adjustments or additional insights.
  4. Step 4: Distribute the summaries to the relevant stakeholders for quick decision-making.
  5. Step 5: Track the reduction in time spent on summaries and adjust the process as needed for future proposals.

Tools / assets referenced (call colaberry_get_asset to fetch each if not already in context):
  - capabilities: Summarize a Proposal -- Transforms lengthy proposals into concise summaries quickly for executive review.

Expected outcome: 25 hours saved weekly on proposal summarization

Begin step 1. Ask only if you need missing inputs.