Smarter Plan Comparison Is Changing the Way Payers, Brokers, and Employers Make Benefits Decisions

The cost of slow healthcare plan analysis isn't measured in hours. It's measured in lost deals, delayed decisions, and employers who moved on before you had a chance to answer their most important question: "What will this actually cost us?"

For payers competing for self-funded accounts, brokers advising mid-market employers, and benefits consultants juggling multiple clients, plan comparison has always been the bottleneck. Not because the data doesn't exist, but because getting it into a form that actually answers the question has historically required weeks of manual work.

Gigasheet's Price Transparency Explorer changes that with a purpose-built plan comparison capability that lets payers, brokers, and self-funded plan sponsors run side-by-side analyses across geographies and clinical areas in minutes, not weeks.

Why Plan Comparison Has Always Been This Hard

Healthcare plan comparison sounds simple on paper. You take two sets of rates, put them side by side, and see which one is better. In practice, it has never worked that way.

Payers send rate cards in different formats. Some use Excel, some use PDFs, some export from proprietary systems with non-standard CPT code mappings. Before you can compare anything, you need to reconcile the data, standardize formats, resolve modifier differences, and map rates to ZIP codes and clinical specialties. That process alone can take three to five days for a single employer group. (If you want context on why this data is so fragmented, our breakdown of hospital price transparency requirements for 2026 covers the regulatory landscape driving it.)

Then there's the actual analysis. Building a model that compares fully-insured plan rates to self-funded alternatives, broken out by clinical area, aggregated to the geography level that actually matters to the employer, requires custom spreadsheet work for every single account. Each analysis is a one-off. When rates change, you rebuild. When the employer asks a follow-up question, you start over.

And after all of that work, you hand them a static spreadsheet or a PDF. The employer sees a wall of numbers. The geographic patterns that reveal where a plan is competitive and where it's overpriced are invisible. The clinical picture that would drive smarter plan design decisions is buried in rows of data they don't have time to interpret.

While that analysis is being built, the employer is talking to your competitors. Self-funded plan sponsors and employers evaluating level-funded options move fast. Brokers who can't answer "how does this compare?" within days routinely lose accounts to firms that can.

What Good Plan Comparison Actually Requires

Whether you are a payer making the case for a fully-insured product, a broker advising an employer on a self-funded transition, or a self-funded plan sponsor benchmarking your current plan against a competitor's proposal, effective plan comparison has the same core requirements.

You need accurate, standardized rate data mapped to geography and clinical specialty. Raw rate cards are not analysis-ready. The data needs to be reconciled to CPT codes, mapped to ZIP codes, and organized by clinical area before any meaningful comparison is possible.

You need side-by-side visualization, not side-by-side spreadsheets. Geographic rate variation is a pattern. Patterns are visible in maps, not in tables. An employer needs to see that their current carrier is competitive in urban markets but significantly more expensive in rural ZIP codes before they can make an informed decision.

You need the ability to drill down. A plan-level average tells you almost nothing. Employers need to understand where the cost differences are concentrated, whether in orthopedics, cardiology, primary care, or specialty procedures, because that's where their utilization actually lives.

You need speed. The value of a plan comparison degrades rapidly when the employer has been waiting two weeks for it. The best analysis delivered slowly loses to a good analysis delivered quickly.

How Gigasheet's Price Transparency Explorer Works

The Price Transparency Explorer is built around the practical reality of how payers, brokers, and benefits consultants actually work. The comparison workflow is straightforward by design.

Upload and map. Payers or brokers upload rate data directly into the platform. This can include fully-insured plan rates, self-funded plan rates, or both. The system automatically maps rates to ZIP codes, CPT codes, and clinical specialties. There is no manual reconciliation step. The platform handles the data normalization that previously consumed days of analyst time.

Compare side by side by clinical area. The map view overlays both plans' rates on the same geography. Users can filter by clinical specialty to see exactly where the cost differences are largest. Color-coding shows which plan is less expensive in each ZIP code at a glance. Hovering over any ZIP code surfaces the median rate for each plan, the absolute dollar difference, and the percentage gap.

A payer comparing their fully-insured knee replacement rates to a self-funded plan's rates can see within seconds that they are competitive in metro markets (typically a 5-8% difference) but meaningfully more expensive in rural ZIP codes (often 25-35% higher). That geographic insight used to require a week of custom analysis. In the Price Transparency Explorer, it appears on the map.

Drill into specific procedures and payers. Users can filter by specific CPT codes to understand cost differences at the procedure level. CPT 27447 for total knee arthroplasty. CPT 29881 for knee arthroscopy. CPT 99213 for an established patient office visit. Filtering by payer shows which insurance carriers are driving the gap and by how much. Users can toggle between median rates, provider counts, and price ranges to understand not just what rates are, but how the market is structured.

Benchmark against fully-insured market rates. The platform includes built-in fully-insured benchmark rates sourced from public data and CMS filings. Users can toggle between "self-funded vs. fully-insured" and "Plan A vs. Plan B" comparisons with a single click. The benchmark data is already there. No additional sourcing required.

Export and share. The completed comparison can be exported as a report or shared as an interactive link with stakeholders. Employers see the analysis in an interactive map, not a static file, which builds confidence in the data and accelerates decision-making.

The Time Difference Is Not Incremental. It's Structural.

The traditional plan comparison process runs 2-4 weeks from data request to stakeholder presentation. Here is what that timeline actually looks like:

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This is not an efficiency improvement. It is a different category of capability. The old process required dedicated analyst time, specialized skills, and a two-week window of employer patience. The new process requires none of those things.

Who This Changes the Game For

Payers competing for self-funded accounts. The self-funded market is growing. More employers are moving away from fully-insured plans to gain cost control and claims visibility. Payers who can answer "how do our rates compare?" in a 20-minute meeting, rather than promising to get back to the employer in two weeks, have a structural advantage in every competitive situation. The ability to run scenario analyses across different geographies and clinical areas in real time means proposals can be tailored to what actually matters to each employer account.

Brokers and benefits consultants advising employers. For a broker advising a mid-market employer on a self-funded transition, the most important deliverable is a credible, visual cost comparison that shows exactly where the savings are and where the risk exposure is. Building that comparison in 20 minutes instead of three weeks means more capacity, faster client responses, and the kind of interactive analysis that builds lasting trust. It also opens the door to premium advisory services: plan optimization, network design recommendations, and reference-based pricing strategy, all grounded in the same data.

Self-funded plan sponsors benchmarking their current plan. A self-funded employer evaluating a competitor's proposal needs to understand where their current plan is strong and where it's vulnerable before they negotiate or make a change. Seeing that their plan is competitive in primary care but meaningfully more expensive in orthopedic and specialty procedures gives them a concrete negotiating position and a roadmap for targeted plan design improvements.

Level-funded employers evaluating their options. Level-funded plans occupy the space between fully-insured and fully self-funded, combining the predictability of fixed monthly payments with the cost-sharing benefits of self-funding. Employers evaluating level-funded products need the same geographic and clinical-level cost intelligence that self-funded employers use. The Price Transparency Explorer supports that analysis directly.

Common Questions About Healthcare Plan Comparison

What data sources does the Price Transparency Explorer use for plan comparison?
‍The platform draws on payer-submitted machine-readable files (MRFs) required under the Transparency in Coverage rule, CMS benchmark data, and rate files uploaded directly by users. This gives users access to both public market benchmarks and proprietary rate intelligence in a single comparison environment.

How does plan comparison work for self-funded employers specifically?
‍Self-funded employers can view their current plan's negotiated rates and compare them directly to competitor rates, public benchmarks, or a prospective carrier's proposed rates. The comparison can be filtered by clinical specialty, geographic market, and specific CPT codes to show exactly where the cost differences are concentrated.

What is the difference between comparing a self-funded plan versus a level-funded plan versus a fully-insured plan?
‍Self-funded plans bear full claims risk but offer maximum flexibility and cost transparency. Level-funded plans cap employer risk through a fixed monthly payment structure while retaining some self-funding benefits. Fully-insured plans shift all risk to the carrier in exchange for a premium. Comparing these structures requires rate-level data mapped to the employer's actual geography and utilization patterns, which is exactly what the Price Transparency Explorer provides.

Can brokers use this tool for multiple client accounts?
‍Yes. The platform is designed for brokers and consultants managing multiple employer accounts. Each comparison is run independently and can be exported or shared with the relevant client stakeholders.

How long does a typical plan comparison take in the Price Transparency Explorer?
‍A standard comparison covering multiple clinical areas across an employer's relevant geographic footprint typically takes 10-20 minutes from data upload to shareable output.

The Market Is Moving. The Question Is Whether You Are Moving With It.

According to the 2025 KFF Employer Health Benefits Survey, 67% of covered workers are now enrolled in self-funded plans, and that share continues to grow as employers gain access to better tools for understanding their cost exposure. Brokers and consultants who can deliver credible, visual, procedure-level cost comparisons quickly are winning accounts. Payers who can show up to a competitive presentation with real-time analysis capability are shortening their sales cycles.

The employers who are making the best benefits decisions are the ones who can see the data clearly. Not in a spreadsheet column. On a map, by ZIP code, by clinical area, by payer, filtered to the procedures that actually drive their costs.

That kind of clarity used to require a data team and three weeks. Now it requires a login and 15 minutes.

See How Plan Comparison Works for Your Use Case

Whether you are a payer looking to accelerate your self-funded sales process, a broker building faster and more credible client analyses, or a self-funded employer benchmarking your plan against the market, the Price Transparency Explorer's plan comparison capability is built for your workflow.

Gigasheet's Price Transparency Explorer helps payers, brokers, benefits consultants, and self-funded employers turn machine-readable file data into actionable market intelligence. Our platform processes MRF data at scale and delivers intuitive, visual analytics without requiring data science expertise.