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 High Output Management .
OKRs comprise an objective (a significant, concrete, clearly defined goal) and 3–5 key results (measurable success criteria used to track the achievement of that goal). [2]
Not only should objectives be significant, concrete, and clearly defined, they should also be inspirational for the individual, team, or organization that is working towards them. [3] Objectives can also be supported by initiatives, which are the plans and activities that help to move forward the key results and achieve the objective. [4]
Key results should be measurable, either on a 0–100% scale or with any numerical value (e.g. count, dollar amount, or percentage) that can be used by planners and decision makers to determine whether those involved in working towards the key result have been successful. There should be no opportunity for "grey area" when defining a key result. [3]
Andrew Grove popularised the concept of OKR during his tenure at Intel in the 1970s. [5] He later documented OKR in his 1983 book High Output Management . [6]
In 1975, John Doerr, at the time a salesperson working for Intel, attended a course within Intel taught by Grove where he was introduced to the theory of OKRs, then called "iMBOs" ("Intel Management by Objectives"). [7]
Doerr, who by 1999 was working for venture capital firm Kleiner Perkins, introduced the idea of OKRs to Google. [8] The idea took hold and OKRs quickly became central to Google's culture as a "management methodology that helps to ensure that the company focuses efforts on the same important issues throughout the organization". [7]
Doerr published a book about the OKR framework titled Measure What Matters in 2018. Grove's simple but effective concept is explained by John Doerr in his book: [7]
The key result has to be measurable. But at the end you can look, and without any arguments: Did I do that or did I not do it? Yes? No? Simple. No judgments in it.
Larry Page, former CEO of Alphabet and co-founder of Google, credited OKRs within the foreword to Doerr's book: [7]
OKRs have helped lead us to 10× growth, many times over. They’ve helped make our crazily bold mission of 'organizing the world’s information' perhaps even achievable. They've kept me and the rest of the company on time and on track when it mattered the most.
Since becoming popular at Google, OKRs have found favor with several other similar large tech organizations [9] including LinkedIn, [10] Twitter, [11] Uber, [12] Microsoft [13] and GitLab. [14]
Doerr recommends that an organization's target success rate for key results be 70%. A 70% success rate encourages competitive goal-making that is meant to stretch workers at low risk. If 100% of the key results are consistently being met, the key results should be reevaluated. [7]
Considering this, OKRs are scored on a scale of 0.0 to 1.0, with 0.7 being the normal target for "aspirational" Key Results (where the aim is to make as much progress as possible), and 1.0 being the expected target for "committed" Key Results (where the outcome is the delivery of a product or feature, meeting a deadline, or a binary "done" or "not done" status). [15]
Organizations should be careful in crafting their OKRs such that they don't represent business as usual since those objectives are, by definition, not action-oriented and inspirational. [16] Words like "help" and "consult" should also be avoided as they tend to be used to describe vague activities rather than concrete, measurable outcomes. [17]
When coming up with key results, it is also recommended to measure leading indicators instead of lagging indicators. Leading indicators are readily measurable and provide organizations with an early warning when something isn't going right so they can course-correct. Conversely, lagging indicators are those metrics which can't be attributed to particular changes and so prevent organizations from course-correcting in time. [18]
Ben Lamorte, author of The OKRs Field Book, suggests 5 best practices for OKRs coaches: [19]
Once planning and crafting OKRs is done, teams have the crucial task of managing their work effectively throughout the OKR cycle. Businessperson and author Christina Wodtke recommends setting a weekly cadence to ensure progress toward the goals is achieved.
In her framework, [20] Wodtke suggests answering the following questions every Monday:
OKRs were once typically set at the individual, team, and organization levels; however, most organizations no longer define OKRs for individual contributors as these OKRs tend to look like a task list and lead to conflating OKRs with performance reviews. The motivation for starting OKRs at the company, team, and individual levels was inspired by the 2014 Google Ventures Workshop Recording in which Rick Klau explains that OKRs exist at 3 levels. Subsequently, in November 2017, Klau clarified via twitter: “6- Skip individual OKRs altogether. Especially for younger, smaller companies. They’re redundant. Focus on company- and team-level OKRs.” Additionally, there is criticism that creating OKRs at multiple levels may cause too much of a waterfall approach, something that OKRs in many ways intend to avoid. [21]
There is an overlap with other strategic planning frameworks like objectives, goals, strategies and measures (OGSM) and Hoshin Kanri's X-Matrix. OGSM, however, explicitly includes "strategy" as one of its components.
In addition, OKRs overlap with other performance management frameworks, sitting somewhere between performance indicator (KPI) and balanced scorecard. [22]
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Andrew Stephen Grove was a Hungarian-American businessman and engineer who served as the third CEO of Intel Corporation. He escaped from the Hungarian People's Republic during the 1956 revolution at the age of 20 and moved to the United States, where he finished his education. He was the third employee and eventual third CEO of Intel, transforming the company into the world's largest semiconductor company.
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S.M.A.R.T. 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. The term was first proposed by George T. Doran in the November 1981 issue of 'Management Review', where he advocated for setting objectives that are Specific, Measurable, Assignable, Realistic, and Time-bound—hence the acronym S.M.A.R.T.
Christina R. Wodtke is an American businessperson and specialist in the area of design thinking, information architecture and Management Science She is currently a lecturer in HCI at Stanford University.
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High Output Management is a 1983 book by Andy Grove, CEO of Intel. It describes many of the management and productivity concepts that Grove used at Intel, such as the objectives and key results (OKR).