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:M,11101Tw1!Z3=" IT-3 <br />CL <br />In the City of San Jose's peer review process, the scores <br />departments gave their programs were evaluated, discussed, <br />questioned, and sometimes recommended for change. The <br />city established a review team specific to each of the city's <br />results. The review teams first went over the result map to <br />ensure that each member of the team was grounded in the <br />city's specific definition of the result. Next, the review teams <br />were given a report detailing every program that gave itself a <br />score for the particular result under review The teams met to <br />discuss: whether they understood the programs they were <br />reviewing; whether they agreed with the scores; whether they <br />required further testimony or evidence to help them better <br />understand the score given; and whether the score should <br />stand, or if the team should recommend increasing or <br />decreasing it. All programs were evaluated in this manner <br />until a final recommendation was made regarding the final <br />11 '111111 1111,11,0211M <br />What made San Jose's approach noteworthy is that in addi- <br />tion to including peers within the organization to review the <br />scores, the city also invited the local business community, <br />citizens representing their local neighborhood commissions, <br />and labor leaders. According to San Jose's City Manager's <br />Office,"The participants found the effort informative as to what <br />the city does; they found it engaging with respect to hearing <br />staff in the organization discuss how their programs influence <br />the c ity's results- and, most interesting they fo and it fun.'' <br />Lastly it is important to recognize that community stake- <br />holders could be apprehensive about engaging in an evalua- <br />tion that could result in losing support for their program. Even <br />though program directors, or citizens who benefit from a par- <br />titular program, might u nde rstand why their program weren't <br />ranked highly, they still won't be pleased with that outcome. <br />Organizations must ask if the end result of their efforts in pri- <br />oritizing programs is simply that finish line when it is clear <br />what programs should be cut. Organizations such as the City <br />of Lakeland have used prioritization not only to balance their <br />budgets in a meaningful way but also to understand how pro- <br />grams that might appear less relevant to the city as a whole <br />might in fact be very relevant to other community stakehold- <br />ers. These stakeholders might actually take responsibility for <br />supporting or preserving a program. There are often opportu- <br />nities to establish partnerships with other community institu- <br />tions such as businesses, schools, churches, and non-profits. <br />Intended Result: A logical and well-understiolod product <br />of a transparent process — no surprises. <br />7. Allocate Resources. Once the scoring is in place, <br />resources can be allocated to the offer /pr g rams. There are a <br />number of methods for allocating resources. One method is to <br />order the offers/programs according to their prioritization <br />within a given priority result area and draw a line where the <br />cost of the offers/programs is equal to the amount of revenue <br />available (see Exhibit 2). Revenues can be allocated to each <br />result area based on historical patterns or by using the priori- <br />ty's relative weights, if weights were assigned.Those offers/pro- <br />grams that are above the line are funded, and those that are <br />below the line are not. Discussion will ensue about the <br />offer /program on either side of the line and about moving <br />them up or down, reorganizing them to move them above the <br />line (e.g., lowering service levels), or even shifting resources <br />among priority results. <br />An alternate method, used by the City of Lakeland, is to <br />organize the offers/programs into tiers of priority (i.e., quar- <br />tiles) and then allocate reductions by tier. For example, pro- <br />grams in the first tier might not be reduced,while programs in <br />the lowest tier would receive the largest reductions. The pro- <br />grams could be forced to make the reductions assigned, or <br />the reductions could be aggregated as a total reduction <br />amount for each department, based on the programs within <br />its purview (with the implication being that the department <br />would weight its reductions toward the lower-priority pro- <br />April 2010 1 Government Finance Revi 15 <br />