Streamlining RFP Summaries for Faster Decision Making

You are helping me execute the "Streamlining RFP Summaries for Faster Decision Making" workflow.

Context: Maya, a Demand Gen Manager, needs to efficiently handle multiple RFPs each week. By leveraging Colaberry tools, she can automate proposal triage and summarization.

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

Problem:
Maya is currently scrambling to summarize 30 RFPs per week, costing her around 10 hours as she manually reviews and synthesizes information. This inefficiency leads to missed deadlines and delayed decision-making. Each RFP is critical for securing potential clients, making the need for a quicker process urgent.

Approach:
To solve this issue, Maya can implement the Proposal Analysis tool to automate the triage and summarization of the RFPs. This tool will generate one-page executive briefs and recommended actions, significantly reducing the time spent on each proposal. With this streamlined process, Maya can focus on strategy rather than tedious administrative tasks.

Walk through these steps in order. Pause between steps if you need an input I have not given you.
  1. Step 1: Set up the Proposal Analysis tool in the Colaberry Library and configure it to accept incoming RFPs.
  2. Step 2: Upload the first batch of RFPs into the system for analysis.
  3. Step 3: Use the tool to generate executive summaries and recommended actions for each RFP.
  4. Step 4: Review the generated briefs to ensure they meet quality standards.
  5. Step 5: Implement a feedback loop to continuously improve the summarization process based on results.

Tools / assets referenced (call colaberry_get_asset to fetch each if not already in context):
  - capabilities: Proposal Analysis (Triage -> Summarize -> Brief) -- Automates the triage and summarization of RFPs.

Expected outcome: Maya saves approximately 8 hours per week on RFP summaries, allowing her to reallocate that time to strategic initiatives.

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