Companies spend hundreds, thousands and even millions of dollars in proposal costs – submitting one proposal then jumping on the next. Some proposals result in awards, others do not. The proposal process involves jugging a log of information such as: price factors, labor costs, potential vendors and teaming partners, technical and past performance narrative. Not to mention all of the saved revisions of a single proposal! The result of the proposal effort is a vast amount of generated proposal data. What are you doing with all of this data when you finally get to the quiet eye of the proposal storm? More specifically, are you reviewing the proposal data after the fact to determine its strengths and weaknesses. If you are, then how are you applying this knowledge to the next proposal? Do you have good archive processes so that you can retrieve this data for the next project proposal cycle?
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