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Objectives and key results (OKR, alternatively OKRs) is a goal-setting framework used by individuals, teams, and organizations to define measurable goals and track their outcomes. The development of OKR is generally attributed to Andrew Grove who introduced the approach to Intel in the 1970s [ 1 ] and documented the framework in his 1983 book ...
KPI information boards. A performance indicator or key performance indicator (KPI) is a type of performance measurement. [1] KPIs evaluate the success of an organization or of a particular activity (such as projects, programs, products and other initiatives) in which it engages. [2]
The OKR framework that Groves describes is widely used in companies in the 21st century. [1] British political strategist Dominic Cummings reportedly recommended High Output Management to government aides after the 2019 United Kingdom general election .
S.M.A.R.T. (or SMART) is an acronym used as a mnemonic device to establish criteria for effective goal-setting and objective development. This framework is commonly applied in various fields, including project management, employee performance management, and personal development.
Hoshin Kanri (Japanese: 方針管理, "policy management") [1] is a 7-step process used in strategic planning in which strategic goals are communicated throughout the company and then put into action.
Management by objectives (MBO), also known as management by planning (MBP), was first popularized by Peter Drucker in his 1954 book The Practice of Management. [1] Management by objectives is the process of defining specific objectives within an organization that management can convey to organization members, then deciding how to achieve each objective in sequence.
Overall labor effectiveness (OLE) is a key performance indicator (KPI) that measures the utilization, performance, and quality of the workforce and its impact on productivity. Similar to overall equipment effectiveness (OEE), OLE measures availability, performance, and quality.
Google Data Studio's offering was a simple, low-cost, and easy way to connect data sources and create dashboards, [11] while Looker offered a more enterprise-focused solution with robust support for transformations and permissions. [12] In October 2022, however, Google announced the rebranding of Google Data Studio to Looker Studio. [13]