Download free articles and educational content

The Business Case for a Performance Improvement System

This document will help you create and articulate a business case to use a performance improvement system to measure and manage your strategic programs, processes and partners. It provides an overview of the challenges in today’s environment and how the Performitiv system is well equipped to address those challenges.

Request Download

Top 10 Ways to Improve Programs, Processes and Partners

This brief document cites 10 easy-to-do insights that can make measuring and improving your key programs, processes and partnerships more value added and impactful.

Request Download

Smart Performance Improvement Model

Performance measurement and improvement of key programs, processes and partner relationships is complex. This white paper discusses the building blocks for optimizing these initiatives. It will discuss how relationship management, performance management and process management are important building blocks to sustainable performance improvements.

Request Download

What’s Trending in Performance Improvement?

Performitiv wanted to understand challenges and best practices in performance improvement to incorporate the feedback into our software so we asked dozens of practitioners for their feedback on our technology and in helping us understand what they do today and what they’d like to do in the future. This article shares our observations based on these detailed meetings and collectively it paints a picture of the current, ‘As Is’ state as well as the future, ‘Should Be’ state. Use it as a guide to better understand your approach to program, process or partner performance improvement.

Request Download

Note for Performance Improvement– Select the Right Data and Share It

This article explores the business case to share a balanced set of metrics between program, process and partner managers and their stakeholders and to do so in a collaborative manner where everyone gets a voice. The article identifies three specific types of metrics (direct feedback, operational data and sentiment) and it discusses how much of this data should be collected and how it should be shared and reported between stakeholders. It also addresses the best practices to collect, store, process and report this data.

Request Download