---
title: 'Where do preconstruction teams spend their time?'
url: 'https://piper-ai.com/resources/where-preconstruction-teams-spend-their-time'
description: 'Bid leveling and scope assembly dominate precon hours (often 40-50 hours of leveling and 30-40 hours of MEP scope work per project), leaving little capacity for judgment. A synthesized view of where the time goes.'
contentTypes: [research]
publishedAt: '2026-08-06T17:00:00.000Z'
updatedAt: '2026-10-14T08:02:49.600Z'
author: 'Ido Gedanken, CEO'
readingTime: 5
---

# Where do preconstruction teams spend their time?

1. Manual bid leveling often consumes 40-50 hours per project before strategic pricing begins
2. Building complex trade scopes (especially MEP) commonly takes 30-40 hours on a single pursuit
3. Roughly 60-80% of estimator time sits in table-stakes work (leveling, scope, admin, coverage), not analysis
4. Tracking task-level time by bucket is the first step to fixing the bottlenecks that actually matter

**Estimators and preconstruction teams at mid-to-large GCs spend a disproportionate share of effort on manual data work rather than judgment.** Vendor analyses and practitioner reports put bid leveling and scope assembly among the largest sinks (often **40-50 hours of manual leveling** and **30-40 hours building an MEP scope package** on a single project) before anyone gets to strategic pricing.

This research synthesizes industry benchmarks, vendor case studies, and practitioner accounts into a task-level picture of where precon hours go. Hard public surveys are scarce; ranges below are triangulated estimates. Where formal data are missing, we say so.

For the operational playbooks behind each sink, see [why bid leveling eats estimator time](https://piper-ai.com/resources/why-bid-leveling-eats-estimator-time), [scope generation](https://piper-ai.com/resources/construction-scope-generation-guide), and [bid coverage](https://piper-ai.com/resources/construction-bid-coverage-guide).

## Key findings

- **Bid leveling dominates bid-phase hours.** Traditional workflows spend on the order of 40-50 hours per project on data entry and comparison. Estimating managers who run 30-60 leveling exercises a year are looking at 180-360 hours annually on that task alone. Teams under pressure often stop at 2-3 bidders per package because they cannot process more.
- **Scope generation is comparably heavy.** Complex trades (MEP) can take 30-40 hours to package. Civil and structure add more. A single missing cross-reference can hide a six-figure gap.
- **Clarifications, addenda, and coverage** are a daily burden. Aggregate hour studies are thin; interviews suggest roughly 10-20% of pre-bid effort across these follow-ups combined.
- **Email and admin are nontrivial.** One analysis puts chief estimators at \~3.5 minutes per bidding-related email, with about half of those emails adding little value. At \~20 bid emails per day, that is roughly 1.5 hours/day before any takeoff starts.
- **Meetings and coordination** (kickoffs, trade calls, design reviews, owner meetings) often land around 10-15% of precon time (higher on CMAR and design-build).
- **Final QA/QC and handoff** still consume \~10-15% after bids close. Gaps here become change orders.

In short, **roughly 60-80% of an estimator's time can sit in table-stakes work**, leaving little room for higher-value analysis, the same pattern argued in [why every construction estimate still starts too close to zero](https://piper-ai.com/resources/why-construction-estimates-start-from-zero).

## Task-level breakdown

Illustrative ranges for a typical hard-bid, mid-sized commercial project (\~120-175 precon hours total). Actuals vary by company, complexity, and delivery method.

| Task | Typical hours (mid-size project) | Share of precon hours |
| --- | --- | --- |
| Scope development and takeoffs | 30-50 | 20-30% |
| ITB solicitation and coverage | 10-15 | 7-10% |
| Addenda tracking and clarifications | 5-10 | 3-7% |
| Bid leveling and analysis | 40-50 | 25-35% |
| Final QA/QC and carry number | 10-20 | 7-15% |
| Meetings (internal / owner) | 10-20 | 7-15% |
| Admin (emails, docs) | 10-20 | 7-15% |
| Handoff to buyout / procurement | 5-10 | 3-7% |

**Share of effort (illustrative).** On a representative project, expect something on the order of: scope and takeoff \~25%, bid leveling and analysis \~30%, solicitation and clarifications \~10%, admin and meetings \~15%, QA/QC and carry \~10%, handoff \~10%. Design-build and CMAR usually shift hours toward design coordination and meetings and away from sealed-bid leveling; heavy civil may see fewer bidders per package; teams with mature tooling spend less on data entry.

### What the ranges mean

| Bucket | What drives the hours | Related guide |
| --- | --- | --- |
| Bid leveling and analysis (~20-40% of bid-phase) | Copy-paste comparison, exclusions, normalized totals | [Bid leveling](/resources/construction-bid-leveling-guide), [exclusions review](/resources/review-subcontractor-exclusions-and-qualifications) |
| Scope development / takeoff (~15-30%) | Drawings and specs → trade packages and quantities | [Scope generation](/resources/construction-scope-generation-guide) |
| Solicitation and coverage (~5-15%) | ITBs, intent follow-up, matrix of who bid | [Solicitation](/resources/construction-bid-solicitation-guide), [coverage](/resources/construction-bid-coverage-guide) |
| Addenda and RFIs (~5-10%) | Log, distribute, retakeoff, acknowledgments | [Addenda management](/resources/construction-addenda-management-for-gc-estimators) |
| Final QA/QC and carry (~10-15%) | Assumptions, markups, exclusions, carry decision | [Final bid review](/resources/final-bid-review-qa-qc-general-contractors), [carry number](/resources/carry-number-methodology-construction-bids) |
| Meetings and admin (~20-30% combined) | Kickoffs, trade calls, email triage, file management | Process and tooling, not a document problem alone |

## Typical workflow timing (illustrative)

On a multi-week pursuit, hours tend to cluster like this:

1. **Plans/specs review and takeoff**: early, overlapping with first scope drafts
2. **Scope package drafting (all trades)**: continues as design and addenda move
3. **Issue ITBs, track addenda, sub clarifications**: mid window through bid close
4. **Bid leveling and scope comparison**: intensifies in the final week
5. **Final QA/QC and carry number**: last days before submission
6. **Handoff to buyout**: after award (or immediately after a win)

The leveling spike is why bid day feels like the whole job: it concentrates weeks of solicitation debt into a short comparison window. That is the mechanism behind [why bid leveling eats estimator time](https://piper-ai.com/resources/why-bid-leveling-eats-estimator-time).

## Methodology and limits

Findings are synthesized from:

- Industry and vendor analyses citing \~40-50 hours of manual bid leveling per project
- Case material on scope-package hours for complex trades (MEP \~30-40 hours)
- Email-workload analyses (\~3.5 minutes per bidding-related email)
- AGC/AIA practice guidance and construction-management literature (pre-bid hours are under-documented)
- Practitioner blogs and estimator interviews where formal surveys were unavailable

**All figures are estimates or ranges.** Meeting share, addenda hours, and handoff percentages are especially thin in public data and should be treated as directional. Delivery method, project size, and tool maturity move the percentages more than any single "industry average."

## What GC precon teams can do with this

- **Track task-level time** in rough buckets (even weekly) so you know whether leveling, scope, or admin is the real bottleneck
- **Attack the largest drains first** (leveling and scope assembly) with standard templates, exclusion matrices, and coverage checks before bid morning
- **Pre-schedule clarifications and addenda distribution** so bid day is comparison, not triage ([addenda](https://piper-ai.com/resources/construction-addenda-management-for-gc-estimators), [coverage](https://piper-ai.com/resources/construction-bid-coverage-guide))
- **Capture decisions in writing** (carries, plugs, and scope-letter assignments) so institutional knowledge does not live only in one senior's inbox ([why estimates start from zero](https://piper-ai.com/resources/why-construction-estimates-start-from-zero))

Teams that measure these buckets usually find the same pattern: the work that looks like "estimating" is mostly assembly and comparison. The hours left for judgment are what actually protect margin.

> **How to read this.** Treat the table as a planning scaffold, not a benchmark to hit. If your leveling is under 10 hours but coverage is chronically thin, you have not "won", you have truncated the comparison. Pair time data with outcome signals: scope misses, late plugs, and change orders traced to bid-week gaps.

## Where Piper fits

The numbers above are the argument for the category. If roughly 60 to 80 percent of estimator time sits in leveling, scope assembly, coverage and admin, then capacity is not a hiring problem first.

Piper is the AI operating system for preconstruction. It takes the assembly out of exactly those blocks: building trade scopes from the drawings, specifications, addenda and company standards, leveling proposals against those scopes, and checking the estimate before it goes out, with every finding linked to its source. The hours it targets are the table-stakes hours, not the analysis this research says gets squeezed out.

Piper does not add estimators and it does not shorten the review. It changes the ratio between the work that simply has to happen and the work only a person can do.

### Is 40-50 hours of bid leveling realistic?

For traditional spreadsheet workflows on mid-to-large packages with multiple bidders, yes, that range appears repeatedly in vendor analyses and manager anecdotes. Automated or highly templated teams report far less. Your number depends on bidder count, trade complexity, and how much exclusion review you actually do.

### Why does scope writing take as long as leveling?

Scope is where drawings, specs, standards, and trade boundaries become something a sub can price. Complex MEP packages routinely take 30-40 hours. Mistakes here show up later as leveling chaos and coverage holes.

### Where do meetings and email fit?

Often 20-30% combined when you add coordination meetings to admin. Email alone at ~3.5 minutes each adds up fast on pursuits with dozens of invitees and addenda. That time rarely appears in "estimating hours" but it steals the same calendar.

### How should design-build or CMAR teams read this table?

Expect more hours in design coordination and meetings, and relatively less in sealed-bid leveling, but exclusions, coverage, and final QA still matter. The buckets stay; the weights shift.

### What should we measure first?

Three numbers per pursuit: hours in leveling, hours in scope packaging, and share of trades with fewer than two usable bids. Those three usually explain both the time crunch and the risk in the carry.