RFP Reporting
Know Your Capacity Before You Commit
Win rate, team capacity, volume, and velocity all in one place. Stop guessing whether you can take on another RFP.
The Problem
No Data. No Visibility. No Leverage.
Sales sends another 200-question RFP. Can your team handle it? You have no idea. No visibility into workload, velocity, or win rate.
RFP
RFP
Do we have capacity?
Manually search
CSV
Team_Capacity.csv
DOC
User_Data.docx
Win rate: 38% (estimated)
BEFORE
Win rate: 52% (+14%)
AFTER
rfp capacity, volume and win rate reporting
See Capacity Before You Overcommit
Capacity, win rate, and workload in one view. Know if you can handle 9 RFPs next quarter, before you say yes.
rfp capacity planning
One View. Every Project.
RFPs, DDQs, SQs, bids and more see who's working on what and when it's due.
Due dates at a glance
Public holidays & events
Team assignments
Apple - RFP Software Questionnaire
Start Date
01/12/24
Due Date
12/12/24
Collaborators
Bid Team
Win Rate Trend
Project status year to date
100%
80%
60%
40%
20%
0%
Q1 2025
Q2 2025
RFP Win rate reporting
Know Where You Win
See which RFP types, deal sizes, and segments convert at 60% and which waste your time at 20%. Stop chasing losing bids.
Learn more
Other features
FAQ
Frequently asked questions.
What ROI metrics can I show my CFO?
AutoRFP.ai provides executive-level reports showing automation rate, time saved, and cost savings across your entire organisation. On average, customers save 26 hours per RFP, translating to roughly $9,100 in human capital savings per submission. You can report on this per RFP, per quarter, and even down to the individual SME level, giving your CFO concrete evidence of business impact rather than anecdotal estimates.
Can I see win/loss patterns across our RFP portfolio?
Yes. AutoRFP.ai tracks which RFP types, deal sizes, and industries convert at what rates. You can see actual win/loss data in real-time rather than guessing during board meetings. This visibility helps you focus resources on the RFP categories where you perform best and identify areas for improvement.
How granular is the reporting?
Reporting breaks down to the individual SME level. You can see how many questions each team member was assigned, what percentage the AI auto-drafted accurately, and how often they needed to make significant edits. This helps identify training needs, capacity constraints, and which team members are most efficient with the platform.
Can I track team capacity and workload?
Yes. The reporting dashboard shows team workload distribution, completion rates, and response times across all active projects. This helps you plan resource allocation, identify when your team is at capacity, and justify headcount or tool investment decisions with data.
How long does it take to get set up?
Reporting works automatically once you start completing RFPs in AutoRFP.ai. The more projects you complete, the richer the reporting becomes. After a quick 30-minute demo, your account can be configured within 48 hours.
How does AutoRFP.ai calculate the '$9,100 human capital savings' per submission?
The platform tracks the actual hours saved by automating response drafting and reformatting compared to traditional manual methods. By applying your team's average hourly rate to these saved hours, AutoRFP.ai provides a quantified dollar value for the human capital efficiency gained per RFP.
Can I export the reporting data to other business intelligence tools?
Yes, AutoRFP.ai allows you to export your reporting data, including win rates, capacity metrics, and ROI data. This makes it easy to integrate RFP performance into your broader company-wide BI dashboards or quarterly business reviews.
Does the reporting show which sections of an RFP are the most time-consuming for our team?
Absolutely. The granular reporting allows you to identify bottlenecks by seeing which categories or sections (e.g., Security, Legal, Technical) require the most manual editing or SME intervention, helping you prioritize content library improvements.
Can I track the 'automation rate' of my RFP responses over time?
Yes, the dashboard provides a trend view of your automation rate. This shows you how much more efficient your team is becoming as your content library grows and the AI learns from your previous high-quality submissions.
How does the platform help me identify 'at-risk' projects before they miss a deadline?
The real-time dashboard flags projects that are falling behind their expected completion velocity based on the due date and remaining question count. This early warning system allows bid managers to reallocate resources and resolve issues before they become critical.
Why is it so difficult for proposal managers to justify additional headcount without data?
Without clear data on team capacity and workload volume, requests for more staff often sound like 'anecdotal complaining' to executives. Hard data on rising RFP volumes and maxed-out SME capacity turns these requests into a logical, data-driven business case for investment.
What is the cost of 'overcommitting' to RFPs that your team doesn't have the capacity to finish?
Overcommitment leads to rushed, lower-quality responses, missed deadlines, and severe SME burnout. This not only lowers your win rate for those specific bids but also damages your company's reputation and long-term team morale.
How can win/loss reporting help a company refine its 'Go/No-Go' strategy?
By identifying which deal sizes and industries have the highest and lowest win rates, you can objectively refine your qualification criteria. This ensures your team only spends time on the high-probability opportunities where you have a proven track record of success.
Why is 'response velocity' a critical metric for competitive bidding?
In many industries, being the first to submit a high-quality response can be a competitive advantage. Tracking and improving your response speed allows you to meet tight deadlines more easily and provides more time for strategic tailoring and final reviews.
How can data on SME efficiency help in identifying internal training needs?
If reporting shows that certain team members are spending significantly more time editing AI-generated responses than others, it may indicate a need for additional training on the platform or a gap in the content library for their specific technical area.
What are the risks of relying on manual spreadsheets for RFP status tracking?
Manual tracking is prone to human error, quickly becomes outdated, and provides no real-time visibility. This leads to 'status update' meeting fatigue and increases the risk of projects falling through the cracks or being discovered too late to meet a deadline.
How does executive-level ROI reporting help in securing long-term budget for proposal tools?
CFOs and VPs are much more likely to renew and expand budgets for tools that can prove their impact in dollars and hours. Automated ROI reporting takes the guesswork out of the renewal process by showing exactly how much the tool has saved the company.
Why should companies track 'edit frequency' for their AI-generated responses?
Tracking how much an AI response is edited is a key indicator of content library health. High edit frequency in specific categories signals that your library content is outdated or incomplete, allowing you to proactively improve your source documentation.