6-Attachment 4 - Score Sheet.xls

This is a Request for Proposals evaluation scoresheet for Salt Lake City Corporation's SLCI26094 solicitation for Tree Pruning and Tree Removal Services. The RFP seeks comprehensive arboricultural services including tree pruning, tree and stump removal, tree planting, emergency tree service, work share arrangements, tree inventory work, and recordkeeping across all areas of Salt Lake City. Services will be provided on an as-needed basis under the direction of the City's Urban Forestry Division manager on both City-owned/managed property and private property. The proposal due date is May 12, 2026, with posting on April 14, 2026. The evaluation process accommodates up to twenty offerors and utilizes a five-member evaluation panel.

The scoresheet establishes evaluation criteria weighted as follows: Company Qualification and Experience (10%), Personnel, Certificates, and Subcontractors (10%), Equipment and Operational Capacity (30%), Project Understanding and Work Plan (30%), Risk Management and Communication (10%), and Innovation, Environmental Practices, and Value-Added Services (10%). Technical criteria are valued at 70 percent of total evaluation points (525 points possible) with a mandatory minimum threshold of 70 percent (367.5 points), while cost proposals comprise 30 percent (225 points possible). The scoresheet includes seven mandatory minimum requirements addressing ethics clause certification, Utah Pesticide Applicator's License, Utility Line Clearance Certification, current CDL licenses, barricade and flagging certification, dielectric certification for tower trucks, and ISA Arborist Certification with specified supervisor experience. Four policy criteria categories—Sustainability, Disadvantaged Business Enterprise, Apprenticeships, and Local Small Business—carry an additional 5 percent of evaluation points (25 points possible). Cost points are calculated using a formula where the lowest proposal receives 100 percent of available cost points, with other proposals receiving proportional points based on their price relationship to the lowest proposal.