Insights

$252.6M Contract Award: How the RFP Prevented a Race to the Bottom

· 4 min read

Program: AEGIS Radio Communication Systems Engineering and Integration Support (Solicitation N0042125R0004)

Award announcement: https://sam.gov/opp/49a3194e06174e9089632a33e12c9717/view

HXG1 Signal: $250.5M. Award Price: $252.6M.

But the interesting part wasn’t how close the prediction was. It was how the Government structured the competition in a way that made the price relatively predictable, and what that structure appears designed to protect.

Sometimes the lowest-cost workforce is not the best outcome for the Government.

If an incumbent team is performing well, the apparent savings from replacing those employees with cheaper labor can be illusory. Lower salaries may reduce the evaluated price, but they can also mean losing experienced personnel, increasing turnover, accepting a less capable workforce, or spending months rebuilding institutional knowledge.

Once an RFP is released, however, the source-selection authority has to make an award consistent with the solicitation’s stated evaluation criteria. That decision may be made by people who are not responsible for living with the contract’s day-to-day performance. And depending on how the procurement is structured, they might be forced into making the award to a lower-priced bid, even when they know it will cause pain in execution.

That is why solicitation shaping matters.

This RFP provides an interesting example of the Government addressing the issue before proposals were submitted.

The Government Put Guardrails Around Labor

The Navy provided bidders with an unusually strong set of pricing anchors that put the competitive pricing into a relatively narrow box:

1.      Prescribed labor hours

2.      Minimum direct labor rates for both professional and SCLS labor categories

3.      A Government pricing template

4.      A clearly defined cost-realism evaluation

But the solicitation went further than simply providing these parameters. It explicitly warned bidders that salaries below the Government-provided minimums would require substantial justification and could render a proposal unawardable.

That distinction matters. The Government wasn’t simply encouraging bidders to maintain adequate compensation. The solicitation had an explicit evaluation mechanism around that objective. That gave industry a clear signal about how the Government expected the work to be priced and gave the evaluation team a defensible basis for rejecting pricing that fell materially below those expectations.

The contract’s cost-plus structure reinforced those guardrails. Bidders couldn’t simply show the Government’s minimum salaries, offset them with an artificially low wrap rate, and then plan to improve margin by reducing salaries in execution.

Without those guardrails, the program could find itself facing a substantially lower-priced proposal built on salaries that make workforce retention unrealistic. At that point, the source-selection authority may have a much harder time justifying an award to a higher-priced bidder, particularly if the solicitation did not establish a clear basis for paying that premium. Here, the Government addressed the issue before bids were submitted.

Whether that reflects effective shaping by the incumbent, smart acquisition planning by the customer, or some combination of the two, it is a procurement strategy every GovCon leader should have in their toolkit when shaping recompetes with customers.

The Numbers

HXG1 identified:

1.                  2,083,010 total labor hours

2.                  121 average annual FTE

3.                  $98.14/hr total-program weighted average sell rate for MKT_PAR

4.                  $250.5M HXG1 MKT_PAR Signal

5.                  $252.6M actual award

The difference between the HXG1 signal and the award was approximately $2.1M, or less than 1%.

But this wasn’t a case where an algorithm somehow guessed a $250 million number.

The solicitation did much of the work by providing salary minimums, but a price to win analyst still needed to figure out the final price with fully loaded rate.

For this opportunity, HXG1 calculated a weighted average workforce experience level of 3.57 years, a workforce that was approximately 90.8% Secret and 9.2% Top Secret, and a Government-site work share of approximately 38%.

Those factors affect the labor metrics that sit on top of the Government-provided structure.

What Happens Without the Salary Floors?

This may be the most interesting part of the analysis.

HXG1 modeled the opportunity without the Government-established minimum direct labor rates for the professional labor categories.

The resulting price was closer to $225M, roughly 10% below the actual award.

That is a modeled counterfactual, not an observed bid result. But it illustrates how dramatically the structure of an RFP can change the economics of a competition.

The Takeaway

There is a broader lesson here for contractors shaping recompetes.

If the current workforce is performing well, don’t assume the customer can simply choose to pay more to keep it.

The program personnel who understand the value of that workforce may not make the ultimate source-selection decision. The source-selection authority must operate within the evaluation framework established by the solicitation. And once a substantially lower-priced proposal is on the table, awarding to a higher-priced competitor may require a value judgment that is difficult to document, and difficult to defend in a protest if the RFP was not designed to support it.

The better strategy can be to address the issue before the competition starts.

If workforce continuity matters, build appropriate guardrails into the procurement. Minimum salary or direct-labor-rate assumptions are one mechanism. Staffing requirements, key-personnel provisions, compensation-plan evaluation, cost realism, and other solicitation structures can serve similar purposes depending on the acquisition.

This solicitation is a particularly clean example.

See algorithmic pricing analytics in action.

Contact HXG1