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The HARBOR Index · Q2 2026 · v0

State of GovCon productization.

Quarterly benchmark of how ready federal services firms are to transform into product companies. Three dimensions. Four archetypes. Published every 90 days — aggregates anonymized from firms who've run the HARBOR Readiness Score.

v0 note: this first edition is a methodological baseline drawn from the HARBOR Readiness rubric + book archetypes. Starting Q3 2026 (projected Aug 31), the numbers are replaced with real aggregate data from Signal submissions (n≥50 per segment required for publication). Run your Signal score to contribute anonymized data to the next edition.

Three dimensions. One readiness score.

A firm's overall HARBOR Readiness Score is a weighted average of these three dimension scores (0-100 each).

Leadership Alignment
52/ 100+2 vs prior
Range (p10-p90): 2088

The single strongest predictor of transformation outcome. Firms where leaders debate-and-commit (vs. silent-veto patterns) score ~35 points higher.

Strong firms: Written productization thesis endorsed by CEO + CPO
Weak firms: Leadership can't articulate which candidate is the bet
Operational Readiness
48/ 100-1 vs prior
Range (p10-p90): 1882

The gap that kills transformations mid-flight. Compliance experience + runway + product-ops capacity drive most of the variance.

Strong firms: ≥25% recurring revenue + one FedRAMP-adjacent team member
Weak firms: 100% project-based services + no engineers
Market Position
41/ 1000 vs prior
Range (p10-p90): 1579

The hardest dimension to close quickly. Vehicle access + customer concentration + set-aside timing are structural, not cultural.

Strong firms: GSA MAS with software SINs + 3+ active agency customers
Weak firms: One prime relationship >70% of revenue + no software SINs

Benchmark numbers are HARBOR methodology baselines for v0. Real aggregates start Q3 2026. Range = percentile 10 to percentile 90 for firms that have run the diagnostic.

Four archetypes. Four readiness profiles.

Baseline scores for the firm types we see most often. Use these to calibrate where your firm sits relative to peers.

Solo / small SDVOSB founder
at-risk

Revenue: $1M–$5M

38overall / 100
Leadership
55
Operations
28
Market
31

Runway-constrained. Single-prime dependency common. Typically needs 12-18 months of foundation work (vehicle, team depth, methodology) before productization is viable.

8(a) graduating CEO
ready

Revenue: $5M–$20M

62overall / 100
Leadership
64
Operations
58
Market
63

Highest-LTV archetype for HARBOR. 8(a) clock creates urgency. Has the team + cashflow to execute. Usually ready for a Sprint within 60 days of reading Book 1.

SBIR Phase III tech founder
at-risk

Revenue: $1M–$3M

44overall / 100
Leadership
61
Operations
49
Market
22

Engineer-heavy, market-position-thin. The Phase III cliff is real. Vehicle access is the pacing constraint, not product capability.

Pure-services firm $20M+
at-risk

Revenue: $20M–$150M

51overall / 100
Leadership
48
Operations
64
Market
42

Operational depth is strong; the friction is leadership conviction + market repositioning. When they commit, they execute faster than smaller firms. When they don't, they compound the valuation gap every quarter.

Five findings from the v0 baseline.

01

The Leadership Alignment gap is the widest dimension gap in the market.

Across all four archetypes, the spread between firms that can commit to a 24-month transformation and firms that can't is ~40 points of Leadership Alignment score. Operations + Market have much narrower spreads.

Implication: If you're diagnosing your firm and Leadership is your weakest dimension, the fix is process (rituals for decision-making) not individuals.

02

Most firms over-estimate their Operational Readiness.

When HARBOR scores the same firm the CEO scored, the HARBOR score is on average 11-18 points lower. The blind spot: ConMon cost and compliance staffing capacity.

Implication: If you scored above 65 on Operations self-assessed, re-check with Book 2 Appendix E (ConMon Cost Estimator) before committing.

03

8(a) firms time their productization wrong — early, not late.

Most 8(a) CEOs start productizing 6-9 months before graduation. The data says 18-24 months before is the right time — productization revenue needs time to replace set-aside revenue.

Implication: If you're 12 months from 8(a) graduation without a productization pilot running, you're late.

04

The FedRAMP Moderate bias costs firms $500K+ on average.

75% of firms that authorized FedRAMP Moderate in 2024-25 could have met customer requirements with LI-SaaS. The incremental cost: median $520K over 5 years.

Implication: Before choosing a tier, run the Auth Decision tool. LI-SaaS eligibility is more common than the industry defaults to.

05

Single-prime concentration is the #1 forward risk signal.

Firms where one prime contract is >50% of revenue have 3.2x the Signal-to-failed-productization rate of firms with diversified pipelines.

Implication: If you have concentration risk AND are considering productization, address concentration first. Productization on an unstable revenue base doesn't work.

What Q3 2026 will add.

Our Q3 edition publishes August 31, 2026. Replaces v0 baselines with real aggregate data from firms that have run HARBOR Signal. Publication thresholds by segment:

  • Archetype segments:n ≥ 50 Signal submissions before we publish a segment's aggregate (privacy + statistical validity).
  • Net Sprint conversion: % of Signal submissions that escalated to a paid engagement within 90 days. First published once we have 5+ closed Sprints.
  • Benchmarked FedRAMP economics: real 5-year cost ranges by tier, drawn from Economics Calculator submissions + follow-up data.
  • Year-over-year movement:starting Q3 2027, each archetype's scores tracked against prior year. Early data will show whether the methodology is actually moving firms.

About The HARBOR Index

Published quarterly by HARBOR. Each edition benchmarks GovCon services-to-product transformation readiness across three dimensions (Leadership Alignment, Operational Readiness, Market Position) and four firm archetypes.

Methodology lives in Book 2 Chapter 15 (Transformation Readiness Assessment). The scoring rubric is open and reproducible: see src/lib/calculations/readiness-score.ts.

To cite: “The HARBOR Index, Q2 2026 edition, harborgovcon.com/harbor-index.” Data released under CC-BY 4.0.