# data[].attributes.body
Count per quarter or year

# data[].attributes.body
(No. of liquidated advances on time / Total cash advances) × 100

# data[].attributes.headline
Percentage of Vouchers Returned Due to Error

# data[].attributes.subject
Percentage of Vouchers Returned Due to Error

# data[].attributes.body
(Returned vouchers / Total vouchers processed) × 100

# data[].attributes.body
Sum of processing time / No. of vouchers processed

# data[].attributes.body
(Accurate transactions / Total transactions) × 100

# data[].attributes.headline
% of Preventive Maintenance (PM) Completed as Planned (Vehicles/Facilities/Equipment)

# data[].attributes.subject
% of Preventive Maintenance (PM) Completed as Planned (Vehicles/Facilities/Equipment)

# data[].attributes.body
(# of PM completed as planned / # of PM)

# data[].attributes.body
(No. of disposals conducted per guidelines / Total disposals) × 100

# data[].attributes.headline
% of Preventive Maintenance (PM) Completed as Planned

# data[].attributes.subject
% of Preventive Maintenance (PM) Completed as Planned

# data[].attributes.body
(# of PM completed as planned / # of PM)

# data[].attributes.headline
Achieve Revenue Collection Target for External Trainings

# data[].attributes.subject
Achieve Revenue Collection Target for External Trainings

# data[].attributes.body
(Php Achieved / Php Target)

# data[].attributes.headline
__% of trainings requiring level 3 evaluation completed with outputs evaluated together with the supervisor.

# data[].attributes.subject
__% of trainings requiring level 3 evaluation completed with outputs evaluated together with the supervisor.

# data[].attributes.body
(# of trainings with L3 evaluation implemented / # of trainings scheduled)

# data[].attributes.headline
Average rating of ____ for trainings for the year

# data[].attributes.subject
Average rating of ____ for trainings for the year

# data[].attributes.body
Total scores / # of trainings

# data[].attributes.headline
% of L&D initiatives implemented as planned

# data[].attributes.subject
% of L&D initiatives implemented as planned

# data[].attributes.body
(# of L&D initiatives implemented as planned / # of L&D initiatives planned)

# data[].attributes.headline
% of staff with IDP milestones achieved together with supervisor

# data[].attributes.subject
% of staff with IDP milestones achieved together with supervisor

# data[].attributes.body
(# of staff with IDP milestones achieved as validated by supervisor) / # of staff with identified milestones in IDP)

# data[].attributes.headline
% of payrolls processed within Compensation and Benefits Calendar

# data[].attributes.subject
% of payrolls processed within Compensation and Benefits Calendar

# data[].attributes.body
(# of payrolls processed on time / # of payrolls scheduled)

# data[].attributes.headline
Average Time-to-Hire of __ WD for Contract of Service items

# data[].attributes.subject
Average Time-to-Hire of __ WD for Contract of Service items

# data[].attributes.body
Total Time-To-Hire / # of COS items

# data[].attributes.headline
Average Time-to-Hire of __ WD for plantilla positions under Deep Selection Process

# data[].attributes.subject
Average Time-to-Hire of __ WD for plantilla positions under Deep Selection Process

# data[].attributes.body
(Total Time to Hire / # of Hires)

# data[].attributes.headline
Complete timely milestone roll-out of HRIS

# data[].attributes.subject
Complete timely milestone roll-out of HRIS

# data[].attributes.body
(# of milestones implemented / # of milestones based on action plan)

# data[].attributes.headline
Achieve PRIME-HRM Level X Accreditation for X HR pillars

# data[].attributes.subject
Achieve PRIME-HRM Level X Accreditation for X HR pillars

# data[].attributes.body
# of HR Pillars accredited under corresponding PRIME-HRM standard

# data[].attributes.headline
Internal Control System Implementation Rate

# data[].attributes.subject
Internal Control System Implementation Rate

# data[].attributes.body
(Implemented controls / Recommended controls) × 100

# data[].attributes.headline
Average Processing Time of Disbursement Vouchers

# data[].attributes.subject
Average Processing Time of Disbursement Vouchers

# data[].attributes.body
Sum of processing days / Number of vouchers processed

# data[].attributes.body
(# of on-time requests / Total requests) × 100

# data[].attributes.body
(Findings resolved / Total findings issued) × 100

# data[].attributes.body
(Reports submitted on time with acceptable quality/ Total required reports) × 100

# data[].attributes.headline
Timeliness of Budget Preparation and Submission 

# data[].attributes.subject
Timeliness of Budget Preparation and Submission 

# data[].attributes.body
(# of on-time submissions / Total required submissions) × 100

# data[].attributes.body
(Amount Obligated / Total Budget)

# data[].attributes.body
(Obligated Budget / Total Allocated Budget) × 100

# data[].attributes.body
(# of Plantilla Items Filled / # of Plantilla Items to be Filled)

# data[].attributes.body
(# of new employees who complete the new onboarding program / # of new employees)

# data[].attributes.headline
% of Partnerships for Expanding Capacity-Development Executed within Schedule

# data[].attributes.subject
% of Partnerships for Expanding Capacity-Development Executed within Schedule

# data[].attributes.body
(# of Partnerships Launched within Schedule / # of Targeted Partnerships)

# data[].attributes.headline
% of Partnerships for Expanding Capacity-Development Executed within Schedule

# data[].attributes.subject
% of Partnerships for Expanding Capacity-Development Executed within Schedule

# data[].attributes.body
(# of Partnerships Launched within Schedule / # of Targeted Partnerships)

# data[].attributes.headline
% of Required Reports submitted to the external agencies concerned within the prescribed deadline

# data[].attributes.subject
% of Required Reports submitted to the external agencies concerned within the prescribed deadline

# data[].attributes.body
(# of reports submitted on time / # of reports)

# data[].attributes.headline
% of Required Reports submitted to the DBM B/S/Os concerned within the prescribed deadline

# data[].attributes.subject
% of Required Reports submitted to the DBM B/S/Os concerned within the prescribed deadline

# data[].attributes.body
(# of reports submitted on time / # of reports)

# data[].attributes.headline
% of Employees provided with at least 1 L&D Intervention 

# data[].attributes.subject
% of Employees provided with at least 1 L&D Intervention 

# data[].attributes.body
(# of employees provided with at least 1 L&D Intervention / # of employees)

# data[].attributes.headline
Percentage of Delegated Issuances released within the Prescribed Deadline and rated as Satisfactory

# data[].attributes.subject
Percentage of Delegated Issuances released within the Prescribed Deadline and rated as Satisfactory

# data[].attributes.body
(# of delegated issuances released within prescribed deadline and rated as satisfactory / # of delegated issuances) x 100

# data[].attributes.headline
Percentage of Policy Recommendations approved by GPPB

# data[].attributes.subject
Percentage of Policy Recommendations approved by GPPB

# data[].attributes.body
(# of Policy Recommendations Approved / (# of Policy Recommendations) x 100

# data[].attributes.headline
Percentage of Agencies evaluated under APCPI system

# data[].attributes.subject
Percentage of Agencies evaluated under APCPI system

# data[].attributes.body
(# of agencies evaluated within deadline / # of agencies to be evaluated) x 100

# data[].attributes.headline
Percentage of target PEs covered by Training or Professionalization Program

# data[].attributes.subject
Percentage of target PEs covered by Training or Professionalization Program

# data[].attributes.body
(# of target PEs provided with at least one intervention / # of target PEs) x 100

# data[].attributes.headline
Percentage of Policy Recommendations approved by GPPB

# data[].attributes.subject
Percentage of Policy Recommendations approved by GPPB

# data[].attributes.body
(# of Policy Recommendations Approved / (# of Policy Recommendations) x 100

# data[].attributes.headline
Percentage of APCPI results evaluated with an average score of 2.00 or better

# data[].attributes.subject
Percentage of APCPI results evaluated with an average score of 2.00 or better

# data[].attributes.body
(# of APCPI results with score of 2 or better / # of APCPI results)

# data[].attributes.body
No. of documents processed on time / Total no. of documents

# data[].attributes.body
Total procurement completion time / Total no. of procurement

# data[].attributes.body
Total Survey Scores / # of Responses

# data[].attributes.body
(# of Planned IT Projects Implemented within budget and schedule/ # of Planned IT Projects)

# data[].attributes.body
No. of system upgrades / Total no. of planned upgrades

# data[].attributes.body
Total response time for IT requests / Total no. of requests

# data[].attributes.body
Total Survey Scores / # of Responses

# data[].attributes.body
No. of high-quality reports / Total no. of reports

# data[].attributes.body
(No. of reports submitted on time / Total no. of reports) x 100

# data[].attributes.body
Total Survey Scores / # of Responses

# data[].attributes.body
(Number of completed research projects / Total number of research projects) x 100

# data[].attributes.body
Total Survey Scores / # of Responses

# data[].attributes.body
(Total time spent on responding to queries / Total no. of responses issued) x 100

# data[].attributes.body
(No. of tasks completed on time / Total no. of tasks assigned) x 100

# data[].attributes.body
(Total response time to queries / Total no. of queries) x 100

# data[].attributes.body
(Total processing time for all documents / Total no. of documents processed) x 100, can be sub-categorized into simple and complex

# data[].attributes.headline
Retention Rate of GPPB Recognized Trainers

# data[].attributes.subject
Retention Rate of GPPB Recognized Trainers

# data[].attributes.body
(Total GPPB-recognized trainers / Number of trainers actively engaged in training​)×100

# data[].attributes.body
(Total respondents / Number of participants reporting increased competency​)×100

# data[].attributes.body
(Total trainer requests / Number of requested GPPB-recognized trainers deployed​)×100

# data[].attributes.body
(Total received training requests / Number of training requests successfully delivered​)×100

# data[].attributes.body
∑(Days taken to process each request)​ / Total number of requests processed

# data[].attributes.body
(Total examinees / Number of personnel who passed certification exams​)×100

# data[].attributes.body
(Total enrolled personnel/Number of enrolled personnel who completed program​)×100

# data[].attributes.body
( Total target personnel /

Number of procurement personnel enrolled in professionalization programs)×100

# data[].attributes.body
(Pre-test average score / (Post-test average score−Pre-test average score​))×100

# data[].attributes.body
(Total scheduled training programs / Number of scheduled training programs completed​) ×100

# data[].attributes.body
( Total survey respondents / Number of participants rating training ≥ 3.0)×100

# data[].attributes.body
(Total target procuring entities / Number of procuring entities trained​) ×100

# data[].attributes.headline
Response Time of the Legal and Research Division External Services

# data[].attributes.subject
Response Time of the Legal and Research Division External Services

# data[].attributes.body
Description: Measures the average time taken to provide legal opinions or written responses to inquiries; comments to legislative or executive measures; consultations done or scheduled; case endorsements and management.

Formula: (Total time taken for all legal tasks / Number of legal tasks released or processed)

When to Use: To evaluate the responsiveness of the legal team.

# data[].attributes.body
Number of DVs processed within one day from receipt of complete documentary requirements

# data[].attributes.headline
Percentage of External Legal Services Processed

# data[].attributes.subject
Percentage of External Legal Services Processed

# data[].attributes.body
Description: Tracks the percentage of legal tasks (opinions or written responses completed, "bills", consultations, and cases) processed for the year.

Formula: (Number of documents/requests processed/ Total number of documents/ requests received) * equivalency rate

When to Use: To monitor the total documents/requests processed

# data[].attributes.headline
% of complaints monitored and reported quarterly to ManCom 

# data[].attributes.subject
% of complaints monitored and reported quarterly to ManCom 

# data[].attributes.headline
External Client Satisfaction with the Legal and Research Division Services

# data[].attributes.subject
External Client Satisfaction with the Legal and Research Division Services

# data[].attributes.body
Description: Measures the satisfaction level of external clients with the released or produced requests.

Formula: (Total satisfaction score / Total number of clients) * 100

When to Use: To gauge the quality and usefulness of outputs.

# data[].attributes.headline
% of PBB related reports are submitted and reported quarterly to ManCom 

# data[].attributes.subject
% of PBB related reports are submitted and reported quarterly to ManCom 

# data[].attributes.headline
Timeliness of BP Forms and APR submission (# of on time submission/ total required submissions) x100

# data[].attributes.subject
Timeliness of BP Forms and APR submission (# of on time submission/ total required submissions) x100

# data[].attributes.body
Measures participant feedback across delivery, content, and relevance.

Formula: Avg. rating from evaluation surveys (scale of 1-5 or 1-10)

Recommended Use: After every training event.

# data[].attributes.body
Measures effectiveness of conducted ICT Training (formula is average post-training rating)

# data[].attributes.headline
% of Foreign Trade Agreements and Trade Policy Report completed on time

# data[].attributes.subject
% of Foreign Trade Agreements and Trade Policy Report completed on time

# data[].attributes.body
Number of FTA-related and trade-related deliverables completed on time / Total number of FTA-related and trade-related requests) * 100

# data[].attributes.headline
Capacity Development Action Plan Progress Reports Completion Rate

# data[].attributes.subject
Capacity Development Action Plan Progress Reports Completion Rate

# data[].attributes.body
Measures compliance rate for the newly-mandated report from PEs re: Submission of CDAP reports

Formula: (PEs that submitted / Total PEs) × 100

When to use: Semestral

# data[].attributes.body
Description: % of planned topics/modules completed.

Formula: (Topics completed / Topics planned) × 100

When to Use: Quarterly

# data[].attributes.body
100% of procurement data analytics and other reports are submitted within the prescribed deadline and rated Satisfactory

# data[].attributes.body
Monitoring of Policy Drafting

# data[].attributes.headline
% of secretariat deliverables (PMT, CART and ManCom) are submitted on the prescribed deadline 

# data[].attributes.subject
% of secretariat deliverables (PMT, CART and ManCom) are submitted on the prescribed deadline 

# data[].attributes.headline
% of Sustainable Public Procurement Requests Completed on Time

# data[].attributes.subject
% of Sustainable Public Procurement Requests Completed on Time

# data[].attributes.body
Number of sustainable procurement requests completed on time / Total number of sustainable procurement requests, both external and internal) * 100