Professional Services · Scenario 20

Architecture / Design Studio

The studio chases every RFP and wins too few, with no idea why. We model what actually predicts a win and stop burning unpaid hours on bids that were never winnable.

Method · Win-probability modelling

The situation

Each proposal costs a design studio real, unbillable time — concepts, fee workups, pitches. Yet most bid on instinct: chasing prestige projects they rarely win and underpricing the work they could. With no read on what predicts a win, the studio’s scarcest asset, senior design time, leaks into losing bids.

Nobody has analysed which project types, client profiles, fee positions and timelines the studio actually converts, so the pipeline is a hopeful scatter and the win rate stays stubbornly low.

21%
bid win rate
Instinct
how bids are chosen
Unbillable
hours on lost bids
No model
of what wins

Where we dig for the truth

We analyse years of won and lost bids to model the win probability of each opportunity — by project type, client, fee position and fit.

Past bid outcomesProject type & sizeClient & sectorFee vs budget positionIncumbency & relationshipProposal effort hours
Win probability vs fee positionEach dot a past bid — there is a sweet spot, not "cheapest wins"0%19%38%56%75%0%30%60%90%120%Fee relative to budget (%)Win probability (%)

Win rate peaks when the fee sits near 88% of budget — not at the lowest bid. Undercutting wins low-margin work; the model finds the profitable sweet spot.

Our approach — Bid Win-Rate Modelling

A win-probability model scores each new RFP from the attributes that historically predict a win — sector fit, relationship, project type, realistic fee. The studio bids hard where odds and margins are good, qualifies out the unwinnable prestige chases, and prices into the sweet spot instead of racing to the bottom.

Freed senior hours move from losing bids to winnable ones and to billable work, lifting both win rate and utilisation.

From chasing every RFP to scoring the bid1Assemble bidsPull years of won/lostproposals and theirattributes.2Model the winEstimate winprobability peropportunity type andfee.3Qualify hardDecline the unwinnable;focus on good-odds,good-margin work.4Price the sweet spotSet fees where win rateand margin both holdup.
Win rate by project type — before vs afterShare of bids won0%14%27%41%54%24%38%Residential18%29%Commercial12%17%Hospitality9%11%Civic31%46%InteriorsBeforeAfter

Bidding selectively into winnable, well-fit categories nearly doubles the win rate in the studio’s strongest types.

What changes

Same studio, bidding with a model. Representative for a small architecture or design practice.

Representative 90-day movementBid win rate21%34%▲ +13 ptsUnbillable bid hrs420/q250/q▼ -40%Avg. project margin16%23%▲ +7 ptsAnnual revenue$1.8M$2.3M▲ +28%
Where the gain comes from+$0.5Mannual revenueHigher win rate44%Better fee positioning34%Hours freed for billable work22%
Why this is not "social media management"
We didn't tell the studio to pitch more or design prettier decks. We modelled what actually wins work and what it's worth, then aimed the bidding there. Win-rate analytics turns proposals from a gamble into a portfolio decision.

Frequently asked questions

How do you improve a studio's bid win rate?
We analyse years of won and lost bids to model the win probability of each opportunity by project type, client fit and fee position, so you bid hard where the odds and margins are good and qualify out the unwinnable prestige chases.
What is win-rate modelling?
It is a statistical model that estimates the probability of winning a given bid from its attributes. It also reveals the fee sweet spot where win rate and margin both hold up — usually not the lowest price.
How is this different from pitching harder?
Pitching harder on the wrong RFPs just burns unbillable hours. We aim your senior time at winnable, profitable work. Book a marketing audit.

Want this run on your numbers?

Send your bid history and we’ll model which RFPs are worth your team’s hours.

Book a marketing audit
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