This study seeks to better understand bidding decision support in multi-attribute reverse auctions. It views bidding as a decision making process and attempts to determine how tools that aid different stages of the decision making process affect the quality of the bids submitted. Two experiments reveal that decision support tools that impact all the stages of a bidder's decision making process can generate high quality bids. However, the findings also reveal that even with such tools, variations in auction structural elements such as the number of bidders and the number of auction attributes can impact the quality of the bids submitted.