Within Better Habits
How Hard Should a Good Goal Be?
Goals tend to work better when they are meaningfully challenging but still realistic for the task and your current skill.
On this page
- Why challenge can improve performance
- When difficulty becomes counterproductive
- Adjusting challenge as skill grows
Page outline Jump by section
Introduction
A good goal should be difficult enough to demand more attention, effort or skill than your normal performance, but not so difficult that it removes a credible route to success. Research on goal setting has repeatedly found that specific, challenging goals can outperform easy goals and vague instructions such as “do your best”. But that finding has important limits: the effect depends on ability, task complexity, feedback, commitment and whether you already know how to perform the task.[ScienceDirect]sciencedirect.comA meta-analytic study of the effects of goal setting on task performance: 1966–1984 - ScienceDirect…
That qualification matters for self-improvement. A demanding target can be useful when the challenge is mainly doing more or doing better at something you understand. When the challenge is figuring out how to do something unfamiliar, simply raising the performance target can interfere with learning. The practical aim is therefore not maximum ambition. It is productive difficulty: enough challenge to change your behaviour without overwhelming the skills and mental resources you currently have.
Why challenge can improve performance
The basic case for challenging goals is unusually well established by behavioural-research standards. A major meta-analysis covering goal-setting studies conducted between 1966 and 1984 found strong support both for hard goals over easy goals and for specific, hard goals over general “do your best” instructions or no goal. Later reviews of goal-setting theory continued to identify specific, difficult goals as a reliable influence on performance across many kinds of participants and settings.[sciencedirect.com]sciencedirect.comA meta-analytic study of the effects of goal setting on task performance: 1966–1984 - ScienceDirect…
The mechanism is more useful than the slogan “aim high”. Challenging goals can alter several parts of performance at once. They direct attention towards goal-relevant activity, encourage greater effort, promote persistence and can stimulate people to search for better strategies. In other words, a difficult target can provide a reason to organise behaviour differently rather than merely wishing for improvement.[DOI]doi.orgNew Directions in Goal-Setting TheoryNew Directions in Goal-Setting Theory - Edwin A. Locke, Gary P. Latham, 2006…
Consider someone who can already run five kilometres comfortably in roughly 30 minutes. “Go for a run sometime this week” leaves considerable room for drift. A target of completing three planned runs, or gradually improving a familiar pace, creates a clearer demand. The person already possesses the basic skill; the goal mainly asks for more consistent or more demanding execution. In that type of situation, greater difficulty can translate fairly directly into greater effort.
But difficulty is not an objective property of the number written in the goal. Goal-setting theory treats ability as an important moderator: a target that stretches one person can be routine for another and effectively impossible for a third. Research synthesising the antecedents of personal goal levels has likewise found that previous performance and ability are associated with the goals people adopt.[Sage Journals]journals.sagepub.comSage JournalsMeta-Analysis of the Antecedents of Personal Goal Level and of the Antecedents and Consequences of Goal Commitment - J. C. W…
This is one reason rules such as “your goal should have a 70% chance of success” should be treated cautiously. There is no single validated success probability that defines optimal difficulty across self-improvement tasks. The useful question is whether the goal demands a meaningful increase in effort or skill while remaining credible given your present ability, resources and understanding of the task.
Feedback also matters. The classic goal-setting meta-analysis found additional support for combining specific, difficult goals with feedback rather than setting the goal without feedback. Feedback tells you whether the difficulty is actually producing better performance or merely repeated misses. Without that information, an ambitious target can remain psychologically impressive while being badly calibrated in practice.[ScienceDirect]sciencedirect.comA meta-analytic study of the effects of goal setting on task performance: 1966–1984 - ScienceDirectFebruary 1, 1987…
When difficulty becomes counterproductive
The biggest qualification to “hard goals work better” appears when a task is unfamiliar or cognitively complex. On a familiar task, the main problem may be effort. On a new task, however, you must simultaneously discover strategies, notice patterns, learn rules and decide what deserves attention. Those learning demands compete for limited mental resources.
Research on skill acquisition has demonstrated why timing matters. Kanfer and Ackerman studied more than 1,000 US Air Force trainees learning a complex air-traffic-control task. Their work examined how cognitive ability, motivation and goal setting interact at different stages of learning, showing that the demands placed on a learner change substantially as practice develops. This helped establish task knowledge and stage of skill acquisition as important boundary conditions for goal setting.[EBSCO OpenURL]openurl.ebsco.comEBSCO OpenURLMotivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition. | EBSCOhost…
An especially clear demonstration came from Gerard Seijts and Gary Latham in a laboratory scheduling task that required participants to acquire knowledge before they could perform well. Participants given a specific, difficult outcome goal performed worse than those simply told to do their best. Yet participants given a specific, difficult learning goal performed better than the “do your best” group.[Wiley Online Library]onlinelibrary.wiley.comOpen source on wiley.com.
The difference is crucial. An outcome goal asks, “How well must I perform?” A learning goal asks, “What must I discover or master in order to perform well?” When the method is already known, the first question can be motivating. When the method is still unclear, the second can be far more useful.
Imagine learning to edit video for the first time. “Produce a polished ten-minute documentary by Sunday” is specific and difficult, but it gives little guidance about the actual bottleneck if you do not yet understand editing software, audio mixing, pacing or colour correction. A challenging learning goal — for example, mastering cuts and transitions, completing two short practice sequences and diagnosing what makes them look amateurish — directs effort towards acquiring the capability on which the larger performance ultimately depends.
Experiments on complex learning tasks have likewise found that the familiar advantage of difficult, specific goals from simple tasks does not automatically generalise to complex performance. Research examining explicit and implicit learning concluded that task complexity can alter the goal–performance relationship because performance depends on acquiring the right knowledge, not merely trying harder.[ScienceDirect]sciencedirect.comOpen source on sciencedirect.com.
A useful distinction is therefore between effort difficulty and strategy difficulty.
- Effort difficulty: You know reasonably well what works, but reaching the target requires more concentration, practice, persistence or output. Increasing the performance challenge can be productive.
- Strategy difficulty: You do not yet know reliably what works. Increasing the outcome target risks adding pressure without solving the knowledge problem.
The distinction explains why ambition can sometimes create the appearance of seriousness while making learning worse. If a novice repeatedly measures themselves against an expert-level outcome, attention may become dominated by the performance gap rather than by experimenting with the smaller skills needed to close it.
Applied evidence is less tidy than laboratory theory. A 2021 systematic review of 27 goal-setting interventions in sport found mixed evidence for several predicted features of goal-setting theory, including difficulty. Only eight studies explicitly considered goal difficulty, and between-group studies manipulating difficulty did not consistently show that the harder target produced better results. The review also noted that ability, task complexity, feedback, knowledge and resources were often insufficiently examined in applied studies.[Taylor & Francis Online]tandfonline.comOpen source on tandfonline.com.
That is a useful corrective to overly simple self-help advice. “Set bigger goals” is not a universal intervention. Even where goal setting helps overall, the precise level of difficulty may need individual calibration rather than being copied from someone else.
Why extreme stretch goals are a special case
There is an important difference between a difficult goal and a goal deliberately designed to appear almost impossible. Research on organisational “stretch goals” illustrates the risk of treating extremity as inherently valuable.
In their analysis of stretch goals, Sim Sitkin and colleagues defined them as seemingly impossible objectives and argued that their effects depend heavily on circumstances. Such goals may sometimes encourage radical exploration rather than incremental improvement, but the authors concluded that the organisations most attracted to extreme goals can paradoxically be those least equipped to absorb the risks.[Academy of Management Journals]journals.aom.orgOpen source on aom.org.
The evidence comes mainly from organisations rather than individual self-improvement, so it should not be transferred mechanically to a personal fitness or study goal. The underlying decision problem is nevertheless relevant: an extreme target does more than increase ordinary difficulty. It may force abandonment of proven methods, make normal progress look inadequate and increase the temptation to pursue high-risk shortcuts.
For personal goals, this means “ten times bigger” should not automatically be interpreted as “ten times more motivating”. Suppose someone currently saves £100 a month. Raising the target to £150 could prompt useful changes in discretionary spending. Demanding £2,000 a month from the same income does not provide a stronger version of the same motivational signal; it may simply conflict with the person’s financial reality. The constraint, not insufficient ambition, has become the central problem.
There is also a continuing scholarly debate over the wider risks of aggressive goal setting. Critics have argued that overly narrow or demanding goals can create tunnel vision, encourage excessive risk and distort attention. Goal-setting researchers Locke and Latham have disputed broad versions of that critique, maintaining that many supposed failures are better understood as recognised boundary conditions or failures of goal design rather than evidence against goal setting itself.[DOI]doi.orgNew Directions in Goal-Setting TheoryNew Directions in Goal-Setting Theory - Edwin A. Locke, Gary P. Latham, 2006…
For self-improvement, the useful conclusion lies between those positions. Difficult goals are not inherently harmful, but difficulty should never be considered independently of the task, the person and the consequences of failure.
Adjusting challenge as skill grows
The appropriate level of difficulty is not fixed. As skill increases, a goal that originally required deliberate concentration can become routine. Conversely, a target that would have been overwhelming during the first week of learning can become an appropriate stretch several months later.
Goal-setting research explicitly treats ability, task knowledge and complexity as factors that alter how goals affect performance. A systematic review of applied sport research, for example, identified ability, commitment, feedback, complexity, task knowledge and resources as theoretically important moderators, even while finding that many real-world studies had not tested them thoroughly enough.[Taylor & Francis Online]tandfonline.comOpen source on tandfonline.com.
That makes goal difficulty best understood as a moving relationship between demands and capability.
A beginner learning a new language might initially set demanding learning goals: master a small group of grammatical structures, understand a short recording without a transcript, or sustain a five-minute conversation using recently learned material. After those processes become easier, performance goals can become progressively harder: longer conversations, faster comprehension or more accurate writing.
The same progression applies to many skills. Someone beginning strength training first needs to learn safe technique and establish what loads they can control. A competent lifter can then use progressively more demanding performance targets. A new manager may initially need goals around learning how to run one-to-one meetings and give feedback; a more experienced manager can reasonably be held to harder outcome standards because the basic methods are no longer novel.
The key is not to keep goals easy until you feel completely confident. That would remove the benefit of challenge. Instead, increase difficulty as evidence accumulates that the current demand is becoming manageable.
A simple recalibration rule is:
- Repeated easy success suggests the challenge can rise. If the target consistently requires little extra effort or thought, it is no longer doing much motivational work.
- A narrow miss does not automatically mean the goal is too difficult. If you understand the task, used an effective strategy and came close, maintaining the target may create useful stretch.
- Repeated confusion suggests a learning problem, not an effort problem. If you keep failing because you cannot tell what to do differently, change the goal towards acquiring strategies or knowledge.
- Repeated large misses suggest recalibration. When actual performance remains far below the target despite serious effort, either the goal, the timeline or the available resources may be unrealistic.
- Improvement should eventually raise the standard. Once a formerly difficult target becomes routine, a harder goal can restore productive challenge.
This approach also avoids a common interpretive mistake: treating every missed goal as evidence that you need more discipline. Sometimes a miss really does reflect inconsistent execution. But repeated failure can also reveal poor estimates of task difficulty, inadequate skill, insufficient resources or a goal that was borrowed from someone operating at a completely different level.
Learning goals before performance goals
One of the most practically useful findings in this literature is that you do not have to choose between being ambitious and being realistic. You can move the ambition to a different level.
For a poorly understood task, make the learning demanding rather than making the final result prematurely demanding. The Seijts and Latham scheduling experiment is instructive precisely because the difficult learning goal did not lower expectations; it redirected effort towards discovering what was required to perform successfully.[Wiley Online Library]onlinelibrary.wiley.comOpen source on wiley.com.
That can change goal design in concrete ways:
When the task is unfamiliarInstead of an early performance targetUse a challenging learning targetPublic speaking“Deliver a brilliant 20-minute talk”“Record three rehearsals and correct the two weakest sections”Coding“Build the complete application this weekend”“Implement and test each unfamiliar component separately”Running“Run a fast half-marathon next month”“Establish a sustainable weekly volume and learn pacing”Writing“Produce a publication-quality article today”“Study three strong examples, draft two structures and revise using feedback”Managing people“Become an excellent manager this quarter”“Practise a structured one-to-one process and review what changes employee responses”
Once an effective strategy is established, shifting emphasis towards performance becomes more reasonable. That sequence matches a broader finding from skill-acquisition research: the cognitive demands of a task change with practice, so motivational techniques that help later in learning may not be optimal at the beginning.[EBSCO OpenURL]openurl.ebsco.comEBSCO OpenURLMotivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition. | EBSCOhost…
How to recognise productive difficulty
There is no universal numerical threshold separating a productive goal from an overwhelming one. A more useful test is to examine what the goal causes you to do.
A well-calibrated challenge usually produces greater organisation. You schedule practice, pay closer attention, persist through ordinary discomfort, seek feedback or improve your technique. The target feels demanding, but you can identify actions that plausibly move you towards it.
An overwhelming goal more often produces loss of useful control. You cannot identify a credible strategy, misses are enormous rather than informative, progress data provide little guidance, or the only apparent route involves unsustainable effort. If the task is new, you may find yourself judging the final outcome repeatedly without knowing which subskills require attention.
Commitment provides another clue, although the evidence here is more complicated than some goal-setting accounts imply. A meta-analysis of 78 studies found that expectancy of attaining the goal, self-efficacy and task difficulty were significantly associated with goal commitment. Yet another meta-analysis found that the statistical interaction between goal difficulty and commitment accounted for less than 3% of variation in performance, suggesting that commitment is not a simple switch that makes any sufficiently hard goal effective.[Sage Journals]journals.sagepub.comSage JournalsMeta-Analysis of the Antecedents of Personal Goal Level and of the Antecedents and Consequences of Goal Commitment - J. C. W…
In practical terms, believing a goal is attainable matters, but enthusiasm cannot repeal skill or resource constraints. “I am fully committed” is not evidence that the difficulty is appropriate if the task itself remains beyond current capability.
Feedback is the better calibration tool. If performance data show steady movement towards a demanding target, the difficulty may be productive even when the goal feels uncomfortable. If weeks of serious effort generate little progress, that is information. The intelligent response may be to change the strategy, acquire missing skills, extend the timeframe or lower the present target before raising it again.
The right question is not “How ambitious can I be?”
The evidence supports a more conditional principle than the popular advice to “set huge goals”. Specific, difficult goals can improve performance when people possess the necessary ability, knowledge and resources, receive useful feedback and remain engaged with the target. Decades of goal-setting research give that finding substantial support.[sciencedirect.com]sciencedirect.comA meta-analytic study of the effects of goal setting on task performance: 1966–1984 - ScienceDirect…
But task complexity changes the equation. When you are still learning how a task works, a demanding performance target can compete with strategy development and sometimes perform worse than a less prescriptive instruction. In that situation, demanding learning goals are often the more sensible form of ambition.[Wiley Online Library]onlinelibrary.wiley.comOpen source on wiley.com.
So the best goal is not the hardest target you can write down. It is the hardest target that still generates useful behaviour at your present level of skill. If you know the route, stretch your performance. If you do not yet know the route, stretch your learning. As capability grows, raise the challenge with it.
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