Blueprint Playbook for Trunk Tools

Who the Hell is Jordan Crawford?

Founder of Blueprint. I help companies stop sending emails nobody wants to read.

The problem with outbound isn't the message. It's the list. When you know WHO to target and WHY they need you right now, the message writes itself.

I built this system using government databases, public records, and 25 million job posts to find pain signals most companies miss. Predictable Revenue is dead. Data-driven intelligence is what works now.

The Old Way (What Everyone Does)

Your GTM team is buying lists from ZoomInfo, adding "personalization" like mentioning a LinkedIn post, then blasting generic messages about features. Here's what it actually looks like:

The Typical Trunk Tools SDR Email:

Subject: AI for Construction Project Management Hi [First Name], I noticed your team is growing and you're managing complex construction projects. Trunk Tools uses AI to help construction teams save time searching through documents and reviewing submittals. Our clients see 20-40 minute time savings per question and 50% fewer submittal re-submissions. Companies like Suffolk and Gilbane are already using us. Would you be open to a quick call to explore how we can help your team? Best, [SDR Name]

Why this fails: The prospect is a construction PM managing 3 active jobsites. They've seen this template 1,000 times. There's zero indication you understand their specific projects, subcontractor issues, or documentation challenges. Delete.

The New Way: Intelligence-Driven GTM

Blueprint flips the approach. Instead of interrupting prospects with pitches, you deliver insights so valuable they'd pay consulting fees to receive them.

1. Hard Data Over Soft Signals

Stop: "I see you're hiring project managers" (job postings - everyone sees this)

Start: "Apex Construction (your current contractor on the VA Hospital expansion) has 3 willful OSHA violations from September 2024 - the $2.4M Phase 2 bid opens March 15th" (government database with citation dates)

2. Mirror Situations, Don't Pitch Solutions

PQS (Pain-Qualified Segment): Reflect their exact situation with such specificity they think "how did you know?" Use permit data, OSHA records, SAM.gov bid opportunities with exact dates and project values.

PVP (Permissionless Value Proposition): Deliver immediate value they can use today - submittal conflicts already identified, drawing discrepancies already flagged, RFI bottlenecks already analyzed - whether they buy or not.

Trunk Tools Intelligence Plays

These messages demonstrate precise understanding of the prospect's situation (PQS) or deliver immediate actionable value (PVP). Every claim traces to verifiable data sources. Ordered by quality score.

PVP Public + Internal Strong (9.2/10)

11 Fire-Rated Assembly Conflicts in Your Submittals

What's the play?

Cross-reference submittal packages against UL fire rating databases to identify door assembly combinations that void required fire ratings before architect review or fire marshal inspection.

Why this works

Failed fire marshal inspections mean costly field rework and project delays. Identifying these conflicts before installation saves money and prevents embarrassment. The specificity (UL ratings, assembly combinations) proves you've done real analysis, not generic pitching.

Data Sources
  1. Internal submittal parsing engine - extracts door assemblies, frame types, hardware specifications
  2. UL Fire Rating Database - validates fire-rated assembly combinations and certifications

The message:

Subject: 11 fire-rated assembly conflicts in your submittals Checked your hotel tower submittals against UL fire rating requirements - 11 door assemblies show frame/hardware combinations that void the 90-minute rating. Your fire marshal inspection will fail these, forcing re-installation at ~$8K per opening. Should I send the assembly conflicts and UL-approved alternates?
DATA REQUIREMENT

This play requires the ability to parse submittal packages and cross-reference against UL certification database for fire-rated assembly validation.

This synthesis (submittal parsing + UL validation) is unique to Trunk Tools' AI engine.
PVP Public + Internal Strong (9.1/10)

14 Submittal Conflicts Found in Your MEP Drawings

What's the play?

Run automated conflict detection on project MEP drawings to identify spec mismatches before submittal review phase. Delivers actionable list of conflicts with drawing references.

Why this works

Submittal re-submissions add 12-18 days to project schedules and make PMs look unprepared. Catching conflicts before architect review saves time and protects professional reputation. The specificity (exact project name, trade package, time savings) proves real analysis was done.

Data Sources
  1. Internal AI conflict detection engine - analyzes MEP drawings and specifications
  2. Building permit records - project name, location, contractor identification

The message:

Subject: 14 submittal conflicts found in your MEP drawings I ran your Riverside Medical Center MEP drawings through conflict detection - found 14 spec mismatches before your submittal review. These would trigger re-submissions adding 12-18 days to your schedule. Want the conflict list with drawing references?
DATA REQUIREMENT

This play assumes Trunk Tools can ingest project drawings and run automated spec conflict detection using their AI engine.

Combined with public permit data for project identification. This synthesis is unique to your AI capabilities.
PVP Public + Internal Strong (9.0/10)

Your Electrical Submittals Missing 6 Seismic Certs

What's the play?

Cross-reference electrical submittal packages against California OSHPD seismic certification requirements to identify missing pre-approval certificates before architect review.

Why this works

OSHPD rejections for missing seismic certs add 4-6 weeks for manufacturer certification - a major schedule delay on healthcare projects. The California/OSHPD specificity shows deep regulatory knowledge and prevents PM embarrassment.

Data Sources
  1. Internal submittal parsing engine - extracts equipment specifications
  2. California OSHPD seismic pre-approval database - required certifications by equipment type

The message:

Subject: Your electrical submittals missing 6 seismic certs Cross-checked your Mercy Hospital electrical submittals against California seismic requirements - 6 switchgear units need OSHPD pre-approval certificates you haven't included. Without these, your submittal package gets rejected and adds 4-6 weeks for manufacturer certification. Want the equipment list and OSHPD cert requirements?
DATA REQUIREMENT

This play requires the ability to parse submittal packages and cross-reference against jurisdiction-specific seismic certification requirements.

This synthesis (submittal parsing + regulatory validation) is unique to Trunk Tools.
PVP Public + Internal Strong (8.9/10)

8 Acoustic Spec Conflicts in Your HVAC Submittals

What's the play?

Parse HVAC submittal packages and cross-reference equipment acoustic ratings against Division 23 specifications to identify non-compliant units before architect review.

Why this works

Architect rejection of submittals adds 3 weeks to procurement and makes the PM look unprepared. The hyper-specific reference (Division 23, NRC 0.75, Section 23.05.13) proves real spec analysis, not generic claims. Offering compliant alternates provides immediate solution.

Data Sources
  1. Internal submittal parsing engine - extracts HVAC equipment specifications
  2. Equipment acoustic rating database - NRC ratings by manufacturer and model
  3. Project specification documents - Division 23 acoustic requirements

The message:

Subject: Your HVAC submittals - 8 acoustic spec conflicts Checked your Convention Center HVAC submittals against Division 23 specs - 8 units don't meet the NRC 0.75 acoustic requirement in Section 23.05.13. Your architect will reject these, adding 3 weeks to procurement. Should I send the unit list and compliant alternates?
DATA REQUIREMENT

This play assumes Trunk Tools has spec parsing capability and equipment database with acoustic ratings.

This synthesis is unique to your AI document intelligence platform.
PVP Public + Internal Strong (8.8/10)

22 Drawing Conflicts Your BIM Team Hasn't Flagged

What's the play?

Run automated clash detection on BIM coordination models to identify MEP/structural conflicts that aren't in the current issue log, preventing costly field rework.

Why this works

Preventing field rework is a top KPI for construction PMs. Showing gaps in their current BIM process with specific locations (Levels 3-5) and grid references proves value. The deliverable is immediately actionable for their team.

Data Sources
  1. Internal BIM clash detection engine - analyzes coordination models
  2. Project BIM model access - Levels 3-5 coordination data

The message:

Subject: 22 drawing conflicts your BIM team hasn't flagged Ran clash detection on your Parkside Apartments coordination model - found 22 MEP/structural conflicts in Levels 3-5 that aren't in your current issue log. These will cause field rework if they reach construction phase. Should I send the clash report with grid references?
DATA REQUIREMENT

This play assumes Trunk Tools can ingest BIM models and run automated clash detection beyond what the BIM team's current tools catch.

This shows gaps in their existing process - immediate value.
PQS Public Data Strong (8.7/10)

$1.8M School District Bid - Incumbent Has Citation History

What's the play?

Cross-reference K-12 school district construction bids with OSHA citation records for incumbent contractors to identify competitive displacement opportunities where safety record matters in scoring.

Why this works

Hyper-specific intelligence (contractor name, district, project value, bid date, weighted scoring detail) proves deep research. This is competitive intelligence the prospect would pay for separately. The simple routing question makes response easy.

Data Sources
  1. OSHA Inspection and Citation Data - establishment_name, citation_severity, penalty_amount, inspection_date
  2. K-12 School District Bid Platforms - bid_title, district_name, bid_amount, bid_deadline

The message:

Subject: $1.8M school district bid - incumbent has citation history Turner-West Construction (incumbent on Northside ISD's bond program) received 2 serious OSHA citations in October 2024 at their Austin projects. The district's $1.8M middle school renovation bid closes February 28th - safety record is weighted at 25% in scoring. Is your team pursuing the Northside middle school project?
PQS Public Data Strong (8.6/10)

$3.1M VA Clinic Bid - Incumbent Safety Disqualification

What's the play?

Monitor SAM.gov federal construction opportunities and cross-reference with OSHA willful citations to identify incumbent contractors disqualified from rebidding under VA safety protocols.

Why this works

This provides specific competitive intelligence (project, amount, location, bid timing) combined with recent willful citation data and explanation of disqualification rules. Clear competitive advantage for the prospect.

Data Sources
  1. SAM.gov Federal Contract Opportunities API - solicitation_number, agency_name, opportunity_title, estimated_value, deadline
  2. OSHA Inspection and Citation Data - establishment_name, citation_severity, violation_standard, inspection_date

The message:

Subject: $3.1M VA clinic bid - incumbent safety disqualification The VA's new primary care clinic in El Paso ($3.1M construction, bid opening April 2025) is currently managed by Hensel Phelps. Hensel Phelps received a willful citation in January 2025 at their Phoenix VA project - that disqualifies them from rebidding under VA safety protocols. Are you pursuing the El Paso VA clinic contract?
PVP Public + Internal Strong (8.6/10)

Your Field Team Asks the Same 12 Questions Weekly

What's the play?

Analyze RFI patterns via Procore integration to identify repetitive questions that indicate document fragmentation issues. Quantify wasted search time and offer to deliver document location map.

Why this works

Shows deep understanding of field team pain (repetitive document searches) with quantified waste (8 hours weekly) that the PM can verify. The deliverable (question list + document locations) provides immediate value and demonstrates platform capability.

Data Sources
  1. Procore API integration - RFI logs, question patterns, response times
  2. Building permit data - project identification

The message:

Subject: Your field team asks the same 12 questions weekly Analyzed RFI patterns on your Sunset Tower project - superintendents ask the same 12 door hardware questions every week because specs are in 4 different PDFs. That's 40 minutes per question x 12 = 8 hours of wasted search time weekly. Want the question list and where each answer lives?
DATA REQUIREMENT

This play assumes Trunk Tools can access project RFI logs via Procore integration or similar, and identify repetitive question patterns.

This synthesis (RFI pattern analysis + document location mapping) is unique to Trunk Tools.
PQS Public + Internal Strong (8.5/10)

Your Procore Has 67 Unanswered RFIs Over 10 Days Old

What's the play?

Access Procore API to analyze RFI response times and identify bottlenecks blocking critical trades. Tie to project completion deadline to show schedule risk.

Why this works

Specific project name, exact number (67 RFIs), and tie to completion deadline (April 15th) shows they accessed real project data. Identifies specific trades being blocked. Easy routing question to right person.

Data Sources
  1. Procore API integration - RFI logs, response times, trade assignments
  2. Building permit data - project completion deadlines

The message:

Subject: Your Procore has 67 unanswered RFIs over 10 days old Pulled your Riverside Commons project data - 67 RFIs are sitting unanswered for more than 10 days in Procore. That's blocking your concrete and framing trades from proceeding, potentially delaying your April 15th substantial completion. Who's managing the RFI backlog on Riverside?
DATA REQUIREMENT

This play assumes Trunk Tools can integrate with Procore API to analyze RFI response times and identify bottlenecks.

This synthesis shows them a problem they may not have visibility into.
PQS Public Data Strong (8.4/10)

Apex Construction's 3 Willful OSHA Violations - $2.4M Federal Bid

What's the play?

Cross-reference SAM.gov federal construction opportunities with OSHA violation records for current contractors to identify competitive displacement opportunities where safety record impacts bid evaluation.

Why this works

Specific contractor name, project details, exact bid date, and citation timing provide actionable competitive intelligence. Federal contracts require clean safety records for evaluation - this is intelligence that helps them win work, not just pitch software.

Data Sources
  1. SAM.gov Federal Contract Opportunities API - solicitation_number, agency_name, opportunity_title, estimated_value, deadline
  2. OSHA Inspection and Citation Data - establishment_name, citation_severity, penalty_amount, inspection_date

The message:

Subject: Apex Construction's 3 willful OSHA violations - $2.4M federal bid Apex Construction (current contractor on the VA Hospital expansion in San Antonio) has 3 willful OSHA violations from September 2024. The $2.4M Phase 2 bid opens March 15th - federal contracts require clean safety records for evaluation. Are you bidding on VA Hospital Phase 2?
PVP Public + Internal Strong (8.4/10)

Your Superintendents Search Specs 47 Times Per Week

What's the play?

Track document access patterns via project management system integration to identify repetitive spec searches that indicate workflow inefficiency. Quantify wasted time and offer insight report.

Why this works

Specific project name, exact behavior pattern (47 times), and quantified waste (6+ hours) across the team shows real analysis. Understanding superintendent workflow proves platform value. Deliverable helps PM optimize team time.

Data Sources
  1. Project management system integration - document access logs by user role
  2. Building permit data - project identification

The message:

Subject: Your superintendents search specs 47 times per week Tracked document access on your Lakewood project - your 3 superintendents opened the same spec sections 47 times last week looking for grout mix requirements. That's 6+ hours of duplicate search time that could be eliminated with instant spec answers. Want to see which spec sections cause the most repeat searches?
DATA REQUIREMENT

This play assumes Trunk Tools can track document access patterns via project management system integration.

This insight helps the PM optimize superintendent productivity.
PQS Public Data Strong (8.3/10)

DOD Project Bid - Incumbent's Q4 Safety Performance

What's the play?

Monitor DoD construction bid opportunities and calculate TRIR (Total Recordable Incident Rate) for incumbent contractors using OSHA data to identify competitive positioning opportunities.

Why this works

Specific project, contractor JV name, and calculated TRIR vs. threshold shows expertise. This is actionable competitive intelligence that helps them position their safety record advantage. Routing question ensures it reaches right team.

Data Sources
  1. SAM.gov Federal Contract Opportunities API - solicitation_number, agency_name, opportunity_title, deadline
  2. OSHA Inspection and Citation Data - establishment_name, recordable_injuries, inspection_date

The message:

Subject: DOD project bid - incumbent's Q4 safety performance Reviewed safety records for federal contractors bidding on the Fort Hood barracks renovation - the incumbent (Morrison-Knudsen JV) has 4 recordable injuries in Q4 2024. That's a 3.2 TRIR on federal work, above the 2.5 threshold for competitive scoring. Is your safety team aware of the Fort Hood opportunity?

What Changes

Old way: Spray generic messages at job titles. Hope someone replies.

New way: Use public data to find companies in specific painful situations. Then mirror that situation back to them with evidence.

Why this works: When you lead with "Apex Construction (your current contractor on the VA Hospital expansion) has 3 willful OSHA violations from September 2024" instead of "I see you're managing construction projects," you're not another sales email. You're the person who did the homework.

The messages above aren't templates. They're examples of what happens when you combine real data sources with specific situations. Your team can replicate this using the data recipes in each play.

Data Sources Reference

Every play traces back to verifiable data. Here are the sources used in this playbook:

Source Key Fields Used For
OSHA Inspection and Citation Data establishment_name, citation_severity, penalty_amount, violation_standard, inspection_date Identifying contractors with safety violations that create project risk and competitive displacement opportunities
SAM.gov Federal Contract Opportunities API solicitation_number, agency_name, opportunity_title, PSC_code, estimated_value, deadline Tracking federal construction bid opportunities with contract values and deadlines
Building Permit API (Shovels.ai, ATTOM, BatchData) permit_number, address, project_type, work_description, contractor_name, estimated_value, issue_date Real-time visibility into construction projects in planning/permitting phase
K-12 School District Bid Platforms (RFPSchoolWatch) bid_title, district_name, bid_amount, bid_deadline, construction_type, contact_officer Aggregating K-12 construction bids and RFPs across school districts
Procore API Integration RFI logs, question patterns, response times, document access logs Analyzing project workflow bottlenecks and document search patterns
UL Fire Rating Database fire-rated assembly combinations, certifications, compliance validation Validating submittal compliance with fire safety requirements
California OSHPD Database seismic pre-approval certificates, equipment certification requirements Validating healthcare construction submittal compliance with seismic regulations