Does Strkr replace HeavyBid, Sage Estimating, or PlanSwift for the actual takeoff math?
No. Strkr sits alongside the takeoff tool of choice and handles the pre-construction sales, sub-bid solicitation, and owner-relationship layer that HeavyBid, Sage Estimating, and PlanSwift were not built for. The takeoff tool remains the system of record for quantity takeoff math, assembly calculations, and historical unit cost libraries. Strkr pulls the completed takeoff into scope line items on the Products module for the GMP build, sub-bid solicitation, and bid submission. For firms running HeavyBid or Sage Estimating with Procore Bid Management or BuildingConnected on top, Strkr replaces the bid management and solicitation layer with a tighter workflow and keeps the takeoff math where it belongs.
How does the sub-bid solicitation Flow handle 45 solicitations across 15 trades?
The subcontractor account directory holds the trade partners organized by CSI MasterFormat trade, geographic coverage, project-value range, union versus open-shop status, specialty qualifications, and historical reliability score. The Estimator creates scope lines on the Products module per CSI division, and each scope line fires a sub-bid solicitation Flow with the top 3 subs by reliability score pre-loaded. The Flow attaches the trade-specific scope package (drawings, specs, bid instructions, due date), fires the solicitation emails, tracks opens and acknowledgments, and chases non-respondents at 7 days, 3 days, and day-of. Sub quotes return through email reply (parsed by Strkr AI), uploaded PDF (parsed by Strkr AI), or structured form submission, and land on the specific scope line with price, scope exceptions, qualifications, and sub reputation. The 45-solicitation sprint drops from 3 days to an afternoon.
How does takeoff accuracy tracking actually close the loop from bid to as-built?
Strkr pulls the as-bid takeoff quantity per CSI division from the Products scope line and pulls the as-built quantity from the project cost connector (Sage 300 CRE, Viewpoint Spectrum, ComputerEase, or Foundation) when the project closes. The variance renders per division per Estimator on the takeoff accuracy tracker tile. Over 10 to 30 closed projects, the pattern surfaces: concrete runs 2 percent light on commercial office projects for Estimator A, steel runs 4 percent heavy on healthcare for Estimator B. The Estimator-specific calibration offset shows on the next bid at GMP review so the Estimator sees "your concrete typically runs 2 percent light, consider adding 1.5 percent contingency on this scope line." The pattern tightens the next bid before margin gets eaten instead of surfacing the gap at project closeout 24 months post-bid.
What does Strkr AI actually draft for a construction Estimator?
Strkr AI runs four jobs for the Estimator tier. First, qualifications and scope narrative drafting: a first-pass 10 to 15 page scope narrative with inclusions, exclusions, allowances, clarifications, and assumptions per trade division, grounded in the bid-walk notes, the owner RFP, the drawing set summary, and the historical qualifications on similar projects. The Estimator edits for voice in 90 minutes instead of a full day. Second, sub-quote parsing: Strkr AI reads sub quote email replies and uploaded PDFs and extracts price, scope exceptions, qualifications, and inclusions onto the scope line without the Estimator typing. Third, scope gap detection: 3-way exception matrix per trade with the specific scope elements each sub included or excluded. Fourth, win/loss debrief summarization: a structured debrief off the award or pass notes with the pattern feeding the historical dashboard.
Can an Estimator configure the pipeline, trade-partner directory, and sub-bid Flows without a RevOps admin?
Yes, for the Estimator-tier levers. The Estimator or chief estimator can tune pipeline stages, go/no-go decision-support thresholds, trade-partner directory filters, sub-bid solicitation Flow cadence, scope-coverage check thresholds, scope line template library per CSI division, change-order forecast models per project type, and dashboard tile selection. Deeper schema changes (new custom objects, API-level integrations with Sage, Viewpoint, HeavyBid, or Procore) still route through a RevOps admin or ops principal by design, so Estimator configuration stays local but shared architecture stays coherent across the firm.
How does the win/loss dashboard actually drive future bid decisions?
The win/loss dashboard renders win rate by GC, win rate by project type, win rate by project value band, win rate by chief estimator or senior Estimator, win rate by trade partner mix, and win rate by competing GC. The patterns surface on new bid invites as the go/no-go decision-support tile: this GC runs a 32 percent win-rate process, this project type matches the firm sweet spot at 48 percent win rate, this value band carries a 15 percent win rate because the firm competes with lower-overhead regionals in that bracket. The Estimator and the ops principal pursue the 32 percent win-rate invite and pass on the 11 percent win-rate chase that would eat a week of time. Over a fiscal year of 100 to 400 bid invites, pursuing the right 60 percent of invites instead of the whole universe typically lifts win rate by 15 to 30 percent while reducing bid-prep bleed.