Version 9.1.219.5 (Support Release - 2 April 2026)

Communication Portal 
 Resolved Incorrect object null message (#147387) 
 Problem 
 
 The problem with the Dapper query binding to the record was fixed on master, but on release, this issue arose. Could nit-pick over the base on a large development change 
 
   
 Solution 
 
 Change from the init constructor to properties 
 
   
 
 Performance Management 
 Resolve edge case where modifying objectives after approval and adding and/or removing items causes item weights to not sum to 100 (#147159) 
 Problem 
 
 There are specific conditions where a user may modify previously approved objectives, and then proceed to add/remove perspectives, kpas and/or kpis.  
 This manipulation after the fact messes with the previously calculated weights, and adding a new item results in the new weight calculated being either less than 0 or greater than 100 for the relevant item's KPA / Level2. 
 This is mostly applicable to contracts where the Weighted over Section setting is enabled. 
 This leads to a further edge case where, due to the mixture of high and low percentages on the weights, the calculated weighted averages of the KPAs end up as large decimal values with +10 precision, which all sum to 1 (100%).  
 However, DB only permits decimals up to 4, and implicit truncation happens and causes the calculation to go out by 0.0002.  
 This will create outliers during rating, where the item score may be out by a range of 0.001 - 0.01 when calculated. 
 
   
 Solution 
 
 When the level2weight in this instance is less than zero, make it zero.  
 This is done only when the weighted over-section setting is in use, and can be set to zero since the approval function will redistribute the weights accordingly. 
 When the redistribution happens during the objectives approval, do a check to see if, from that perspective, the total kpa weight is not 100 (exceeds margin of error), and if so, redistribute the missing margin to the last kpa - > kpi item.  
 Eg, Last KPI goes from weight 0.0745 to 0.0747. Low enough difference in score to not have a major effect.