Past performance can make or break a proposal score — yet most firms treat it as an afterthought. This episode breaks down exactly what evaluators look for and how to build a reusable library that delivers strong entries on demand.
Past performance is one of the highest-stakes sections in any competitive proposal, yet it's routinely assembled at the last minute from whatever scraps a shared drive happens to hold. This episode of Development takes a practitioner-level look at why that approach consistently loses points — and what a deliberate, infrastructure-first strategy looks like instead. The focus is on specificity: what a winning entry actually contains, why evaluators score the way they do, and how to build a library that lets your team pull a polished, relevant entry in hours rather than days.
Here's what the episode covers:
Teams working inside response automation workflows will find this episode particularly relevant — a structured past-performance library is the raw material that makes automated assembly accurate rather than generic. If your team is still deciding which opportunities are worth this level of investment, go/no-go scoring can help focus your capture energy where past-performance strength is already strongest. For deeper reading on proposal structure and compliance, proposal templates from RFP.co offer practical starting points aligned with evaluator expectations. For more on the tools that can reclaim time during response, check out the episode Document Automation Software: 20 Platforms That Could Win Back Your Time.
Software and web development from the side that has to ship it and then live with it. Architecture decisions with a cost attached, scoping, technical debt, hiring and vendor selection, and the AI tooling question every engineering team is now answering whether they planned to or not.
Each episode takes one decision — rewrite or refactor, framework choice, build versus buy, how to scope a fixed-bid project honestly — and works through the tradeoffs, including the ones that only show up in year two. Written for engineering leads, technical founders and the people who fund them. Five or six minutes, no hand-waving.
Topics include rewrite versus refactor, build versus buy, scoping fixed-bid work honestly, technical debt you should keep, framework and platform choices, hiring and vendor selection, code review culture, and where AI tooling actually helps.
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