Architrave

Service 03

Estimating Scorecard

Find out where you actually win, where you lose and where margin goes after the contract is signed. Built from your own bid log and job-cost data, not industry averages.

  • $1,000–$2,500 one-time
  • Remote

Who it's for

  • Owners and precon directors deciding which work to chase next year.
  • Chief estimators who suspect certain bids are a waste of effort but can't prove it.
  • Companies that track bids and job costs but have never put the two side by side.

The problem

Most estimating departments run on gut feel about which work they win. The bid log lives in one place, job costs in another, and nobody has had time to connect them. So the team keeps chasing the same kind of work at the same hit rate, and margin that fades between bid and closeout goes unexplained.

The data to answer these questions is usually already sitting in your files.

What's included

We pull your bid log and job-cost history together and measure:

  • Win rate by bid size. Which size of job you actually win, and which you just price.
  • Win rate by sector. Where your number is competitive and where it isn't.
  • Win rate by client. Which GCs, owners or developers award you work, and which use you for a check number.
  • Margin fade. How much margin you hold from bid to closeout, and where it slips.
  • Change-order growth. How much jobs grow after award, and on which kinds of work.

What you get

  • A scorecard workbook with each measure broken out, charted and traceable back to your data.
  • A short findings memo in plain language: what the numbers say and what we'd look at next.
  • A walkthrough call to go over the results with your team.

Timeline

Most scorecards are delivered within one to two weeks of receiving complete data. If the data needs cleanup first, we'll tell you up front how that affects the timeline, and we confirm it with the quote.

Pricing

$1,000–$2,500 one-time. We quote a fixed price after we see your data. Where it lands depends on:

  • How much history you want analyzed.
  • How many sources we have to combine: a single spreadsheet, or a bid log, an accounting export and a project management system.
  • How clean the data is. Inconsistent client names, missing award results and loose job numbering all take time to sort out.

FAQs

What data do we need?

A bid log with dates bid, client, size, sector and result, plus job-cost reports for the work you won. If your bid log is thin, we'll tell you what's usable before you pay for anything.

Our data is a mess. Is that a problem?

Almost everyone's is. Cleanup is part of the work and part of what moves the price.

Is this a one-time thing?

It's priced as one-time. Many clients rerun it periodically to see whether changes are working, and that can be quoted as a refresh.

The estimator still makes every call. We just make sure nothing goes unread.