Pricing Data

Use Pricing Data when the question needs a price-to-win range, wage evidence, labor-rate benchmarks, awarded line-item pricing, service-labor footprint context, or a pricing model. This skill helps GovTribe AI pick the right pricing source and explain the difference between cost, ceiling-rate, awarded-price, and Service Contract Inventory evidence.

This is useful for pricing analysts, capture managers, and proposal teams who need defensible pricing context before making a bid or rate decision.

Short prompts work when the target is already clear, for example: ptw for this opportunity, sanity check these labor rates, or find GSA rate evidence for these roles.

Tailor this workflow to your market

Tell GovTribe AI the industry or market context when it changes the pricing evidence, assumptions, or comparisons you need. For example, name whether the work is logistics and supply, IT and cyber, professional services, construction and facilities, or another market lane. Include buyer or agency, geography, asset or system type, compliance context, contract type, and the pricing decision you need.

Industry context helps GovTribe AI tailor the evidence it gathers and the questions it asks, but it is not a substitute for real cost evidence. Supply pricing often depends on awarded line items, quantities, units, delivery, warranty, and packaging. IT pricing may need labor, licensing, cloud, support, transition, and compliance costs. Professional services pricing may need staffing, labor categories, SCI, compensation realism, and transition. Construction pricing may need wage determinations, materials, equipment, bonding, subcontractor quotes, mobilization, and schedule or site risk.

BLS occupational wage data

Use this workflow when the question needs occupational wage baselines by role, geography, industry, or level. GovTribe AI can map a business-facing labor role to a defensible occupation and use wage data as a starting point for cost realism.

This is valuable when you need a labor-cost baseline before applying burden, fee, escalation, location adjustments, or market comparisons.

Example prompt:

Use Pricing Data > BLS Occupational Wage Data. Build a wage baseline for the technical labor likely needed on this building automation system sustainment opportunity: https://govtribe.com/opportunity/federal-contract-opportunity/j059-rfq-new-building-automation-system-sustainment-maintenance-repair-and-lifecycle-po-jeremiah-middleton-far-part-12-36c26026q0629

Map the work to defensible occupations, explain the location assumptions, separate wage evidence from loaded-rate assumptions, and identify what I should add for burden, fee, escalation, travel, and subcontractor support before pricing the bid.

GSA labor rates

Use this workflow when the question needs GSA Schedule labor-rate context. GovTribe AI can compare labor categories, vendors, contracts, education levels, worksites, business sizes, clearances, SINs, categories, and contract years when those dimensions matter.

This is useful when you want to sanity-check a proposed rate or understand where a rate sits against Schedule labor-rate evidence.

Example prompt:

Use Pricing Data > GSA Labor Rates. Compare proposed hourly rates for a GovCon services bid against relevant GSA Schedule labor-rate evidence.

Use these draft labor categories: Project Manager, Building Automation Systems Specialist, Controls Technician, Cybersecurity Analyst, and Technical Writer. Show comparable labor categories, education or clearance assumptions where available, rate ranges, where our rates would sit in the market, and which rates need more support before review.

Search line items

Use this workflow when awarded state or local line-item evidence is the right pricing source. GovTribe AI can look for historical unit prices, quantities, line descriptions, parent award context, categories, states, and comparable purchasing patterns.

This is valuable for supply, software, service, staffing, or implementation categories where actual awarded line items may be more persuasive than a wage table or labor ceiling benchmark.

Example prompt:

Use Pricing Data > Search Line Items. Find awarded line-item pricing evidence that could help estimate the cost of comparable fabricated marine or shaft assembly components for this NAVSUP solicitation: https://govtribe.com/opportunity/federal-contract-opportunity/fabrication-of-one-stern-tube-shaft-assembly-n0040626q0177

Prioritize evidence with clear quantities, unit prices, descriptions, parent award context, and similar manufacturing or fabrication scope. Separate strong comparables from weak analogies and explain how each should or should not influence pricing.

Service Contract Inventory context

Use this workflow when a labor-heavy federal services pricing question needs contractor footprint, incumbent workshare, FTE, reported-hours, subcontractor reliance, or derived hourly-rate context. GovTribe AI can use Service Contract Inventory records to pressure-test staffing volume and workshare assumptions before a price-to-win or recompete pricing review.

Service Contract Inventory context is not a wage source, not a GSA Schedule ceiling-rate source, and not a complete award obligation history. It is most useful when paired with wage baselines, labor-rate benchmarks, line-item evidence, federal award records, and company-provided assumptions.

Example prompt:

Use Pricing Data > Service Contract Inventory Context. For this professional services recompete, find SCI records that can help size the incumbent labor footprint, FTEs, reported hours, subcontractor workshare, and derived hourly-rate context before we build a price-to-win range.

Separate prime records from subcontractor records, flag where SCI does and does not support pricing conclusions, and explain which findings should influence staffing realism, subcontracting strategy, and the next pricing evidence we should collect.

Price-to-win analysis

Use this workflow when you need the target bid range, proposed-price posture, recompete pricing view, or opportunity-specific pricing evidence. GovTribe AI can compare market evidence with your expected staffing and cost assumptions while keeping the confidence level visible.

This helps pricing analysts and capture teams understand the pricing lane before deciding how aggressively to bid, what assumptions need validation, and which pricing gaps should move into capture review.

Example prompt:

Use Pricing Data > Price-to-Win Analysis for this opportunity: https://govtribe.com/opportunity/federal-contract-opportunity/j059-rfq-new-building-automation-system-sustainment-maintenance-repair-and-lifecycle-po-jeremiah-middleton-far-part-12-36c26026q0629

Build an evidence-backed price-to-win range using solicitation context, incumbent or predecessor evidence, comparable awards, wage or labor-rate signals, SCI context where useful, and our proposed-price assumptions. Show market evidence separately from our staffing and cost assumptions, explain confidence, and identify the pricing questions we should resolve before capture review.

Pricing model workflow

Use this workflow when you need a combined pricing model rather than a one-off lookup. GovTribe AI can build from BLS wages, benchmark against ceiling-rate evidence, add awarded line-item evidence when relevant, and use Service Contract Inventory context when service-labor footprint affects the pricing decision.

This is useful for hybrid pricing work where the team needs to understand both internal cost realism and external market posture.

Example prompt:

Use Pricing Data > Pricing Model Workflow. Build an evidence-backed pricing posture for this building automation system sustainment opportunity: https://govtribe.com/opportunity/federal-contract-opportunity/j059-rfq-new-building-automation-system-sustainment-maintenance-repair-and-lifecycle-po-jeremiah-middleton-far-part-12-36c26026q0629

Combine BLS wage baselines, labor ceiling-rate benchmarks, comparable award or line-item evidence, Service Contract Inventory service-labor footprint context, and solicitation-specific assumptions. Return a pricing model outline with labor categories, staffing and workshare assumptions, evidence sources, confidence level, pricing risks, and questions the capture team should resolve before bid review.

Related articles

• GovCon workflows with GovTribe AI: Review the other GovCon workflow skill families.
• Capture Workflows: Turn pricing evidence into bid/no-bid implications and capture actions.
• Search Service Contract Inventory MCP tool: Review the MCP tool for contractor-reliance, workshare, FTE, and derived service-pricing context.
• GSA labor rate data type: Review the fields and relationships behind GSA Schedule labor-rate rows.
• Automations: Run recurring pricing evidence pulses.