Projavio is in private beta — applications now open for UK construction consultancies.

Module · Benchmarking

Benchmarks built from your own track record, not generic rate books.

Sector-keyed and tier-keyed benchmarks pulled from your own portfolio history. Compare a new project to what your firm has actually delivered — not industry averages that don't reflect your work.

Why generic benchmarks miss

Industry rate books don't know how your firm delivers projects.

Generic construction benchmark databases are based on a different mix of projects, contractors and contract types than your firm's actual portfolio. The benchmark that matters is what you've actually delivered — and that lives across 40 closed-out workbooks nobody indexes.

Anecdotal sector benchmarks

"QSR projects come in at £X/m²" based on three projects in someone's memory. New estimate goes out at the wrong number.

Closed-out projects rot in folders

Every closed project has out-turn data that should feed the next estimate. None of it does because nobody indexes it.

No tier-aware comparison

Bronze / Silver / Gold tier matters for the £/m². Most benchmarks ignore tier; the comparison ends up apples-to-oranges.

What's inside

A benchmarking layer reading from your closed projects.

Sector × tier benchmarks

Sector-tagged + tier-tagged out-turn data per project. Filter by sector, tier, GIA range — see what your firm has actually delivered.

Auto-populated from closed projects

Every closed-out project contributes to the benchmark dataset. Out-turn cost, GIA, programme duration, variation %, all surface as benchmarks.

Estimate integration

When you start a new benchmark estimate, Projavio surfaces the relevant past projects in the same sector + tier. The estimate isn't built from a static rate book; it's built from your real history.

Distribution view

See the spread, not just the average. Min / lower quartile / median / upper quartile / max for any metric in any segment.

Snapshot history

Benchmarks snapshot at generation. Six months later you can see how the dataset has shifted as new projects close out.

Cross-firm-anonymised benchmarks

Optional: cross-firm anonymised benchmark contribution + read for participating workspaces. Industry insight without losing privacy.

Who uses it

Built for the people pricing new work — and the people defending the price.

Cost Coordinators

Start a new estimate, see what your firm has actually delivered for similar projects. Price with evidence, not anecdote.

Cost Managers

Defend the estimate to the client with real benchmarks. "Here is what we delivered on six similar QSR projects in the last three years."

Directors

Strategic insight from your own portfolio. Where is your firm's margin best? Which sectors deliver to estimate consistently? Which clients drive variation rate?

See your closed projects feed your next estimate.

A 30-minute walkthrough — bring some closed projects; see the benchmark dataset they create.

Frequently asked questions

How are benchmarks generated?

Benchmarks compute from closed-out project metrics — sector, tier, GIA, value, programme duration, variation %, out-turn cost. Each closed project contributes one data point per metric per segment.

Can I see the underlying projects?

Yes — drill from any benchmark distribution into the contributing projects. Confidentiality is workspace-bounded; you only see your own portfolio.

Do you offer cross-firm benchmarks?

Optional anonymised cross-firm benchmark contribution + read for participating workspaces is on the roadmap. Today every workspace benchmarks against its own portfolio.

How does this connect to estimates?

Benchmark Estimates surface relevant past projects in the same sector + tier when starting a new estimate. The benchmark dataset is the source of truth for the rate ranges.

Benchmark off your own work, not someone else's.

The estimate you ship next month, built from the projects you actually delivered last year.