Presentation for the Advisory Committee for Business & Operations Effective Practices Research Overview For Merit Review Arlington, VA March 31, 2004 This document is confidential and is intended solely for the use and information of the client to whom it is addressed. NSF BUSINESS ANALYSIS Today, we will provide… Brief update on the status of the NSF Business Analysis Summary of the key findings from the Effective Practices research for Merit Review NSF BUSINESS ANALYSIS 1 NSF Business Analysis has recently competed the following activities and is currently moving into the design phase of the project Quick Snapshot of Project Status Completed as of 3/31/04 “Works in Progress” Completed researching effective practices for the Merit Review and Award Management & Oversight processes Developing process scenarios and preliminary business cases for the Merit Review and Award Management & Oversight processes Completed workload study that assessed the amount and distribution of workload across NSF Conducting an eJacket study to determine how the electronic-jacket technology tool impacts human capital issues Completed first full draft of the Target Enterprise Architecture for Applications, Data, Network and Security Developing an IT Technology Governance Framework and IT Implementation Plan that considers the 2-7 year transition plan necessary to move to the Target Enterprise Architecture NSF BUSINESS ANALYSIS 2 For the “effective” practices research, the team researched the practices of grant-making organizations in order to identify potential alternative practices Research Objectives: To understand how other federal and non-federal organizations review proposals and manage awards, and the relative emphasis that is placed on either activity To provide NSF with insights into how other organizations address challenges similar to those faced by the Foundation in the proposal review and award management processes To identify practices or principles that could be leveraged or modified by NSF in the redesign of its core business processes NSF BUSINESS ANALYSIS 3 The team interviewed representatives of 14 federal and non-federal organizations Organizations Interviewed NSF BUSINESS ANALYSIS 4 Important to note is that few effective practices were identified in the areas of performance measurement, “working across the organization,” and technology usage Few organizations apply performance metrics to their review or award management practices – Customer satisfaction surveys are performed ‘ad hoc’ – Processing times tend to be the same or longer than NSF – Few agencies have monitoring plans in place to address the degree of award oversight that is applied Few organizations had a significant need for ‘working across the organization’ Many agencies were either “developing” or “progressing” in their eBusiness capabilities with availability of resources cited as the greatest barrier to development efforts NSF BUSINESS ANALYSIS 5 Effective practices emerged in each of the following areas Merit Review Areas Proposal Workflow Management Review Methodologies Reviewer Community Management Description Process for how an organization receives, processes, and streamlines activities associated with proposal intake, review, and decision-making Various practices an organization applies to review proposals and make funding decisions with limited resources Management practices that an organization applies to attract, recruit, and reward its reviewers, as well as how the organization maintains a relationship with its community NSF BUSINESS ANALYSIS 6 Many organizations employ different strategies to mitigate workload demands Strategy Description Apply “filters” to reduce the number Leveraging Letters of Intent (LOI), pre-applications or of proposals that receive reviews and other filters that enable organizations to better manage to manage future workload workload requirements Identifying early in the process proposals that are noncompetitive or inappropriate, and begin panel coordination earlier in the review process Coordinate the scheduling of program deadlines to spread the workload more evenly across the fiscal year For organizations with multiple programs, centrally coordinating the deadlines for programs to reduce the burden on both internal resources and the reviewer community Employ temporary staff during peak periods or outsource some administrative functions to mitigate workloads Using temporary employees to provide staff with administrative relief during periods of peak workload. Services range from minor administrative support (i.e., jacket assembly) to outsourcing all proposal support (i.e., panel coordination, soliciting reviewers, conflicts of interest, etc.) Proposal Workflow Management Review Methodologies Reviewer Community Management NSF BUSINESS ANALYSIS 7 Most organizations structure the review process to optimize the time of reviewers Strategy Description Structure decision-focused review process; allow reviewers to spend more time on competitive proposals Posting reviews prior to panel or pre-ranking proposals based on reviewer feedback, then focusing panels on those proposals that require additional feedback upon which to base a decision (e.g., proposals “on the fence”) Reduce degree of “budget” negotiations that must occur throughout the post-review process Employing strategies to mitigate the degree of postreview budget discussions include: – Embedding “cost realism” as a review criteria – Adjusting budgets and issuing ‘conditional awards’ – Employing policies of non-negotiable awards Enable reviewers to participate remotely in panels through the use of technology Providing tools that: facilitate involvement of panelists who are unable to physically be present through remote participation; allow NSF to utilize expert reviewers for the appropriate panels; and, broaden the accessible reviewer pool Proposal Workflow Management Review Methodologies Reviewer Community Management NSF BUSINESS ANALYSIS 8 Most organizations treat reviewers as “customers” throughout the process Strategy Treat reviewers as “customers” throughout the review process Description Coordinating all panel logistics including travel arrangements Providing social/networking opportunities while on-site Pay them well Offering attractive honorariums, paying ‘ad hoc’ reviews Educate reviewers on their duties and responsibilities Providing training to new panelists. Training could include on-line tutorials, mentoring, or “mock reviews” Structure “terms of service” to ensure Requiring panelists to serve for a period of time -continuity generally for a 3-year term and not necessarily consecutive years Reach out to the full ‘pool’ of possible Providing targeted marketing and outreach efforts to reviewer candidates potential reviewers (i.e., soliciting universities, societies, etc.) Integrating of databases for applicants, reviewers, and awardees Accepting on-line applications Proposal Workflow Management Review Methodologies Reviewer Community Management NSF BUSINESS ANALYSIS 9 Based on the findings in the effective practices research, NSF should consider the following in the scenario design Broadening the use of Letters of Intent (LOIs) for determining program fit and begin planning and coordinating panels earlier in the process More pro-actively coordinating program deadlines taking into account the needs of the research community Developing piloting opportunities to broaden the use of temporary help during peak proposal times or outsourcing certain process functions Incorporating process changes that reduce the degree of proposal budget rework that occurs throughout the Merit Review process Compensating off-site reviews, broadening the concept of panel “terms of service”, and providing training for how best to perform a review Developing strategies that “reach out” to a greater pool of reviewers (e.g., integrating databases for applicants, awardees, reviewers; enabling better remote access; accepting online reviewer applications, etc.) NSF BUSINESS ANALYSIS 10 Questions & Answers For additional questions, please contact: – Abe Zwany, [email protected], 703.902.5342 – Tim Koch, [email protected], 703.377.0389 NSF BUSINESS ANALYSIS 11
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