Within Goal Difficulty
Do You Need More Effort or a Better Strategy?
Harder goals help most when you know what works; when the real problem is finding a strategy, extra pressure may solve the wrong problem.
On this page
- What effort difficulty looks like
- What strategy difficulty looks like
- Choosing the right response to each kind of challenge
Page outline Jump by section
Introduction
A difficult goal can fail for two very different reasons. Sometimes you already know what works but are not doing enough of it: the difficulty is effort. Sometimes you are working hard but do not yet know which actions will reliably produce the result: the difficulty is strategy. Treating the second problem as if it were the first can make a goal harder without making success more likely.
That distinction matters because challenging, specific goals have a strong record of improving performance, but their benefits become less straightforward as tasks become complex, novel or knowledge-intensive. Research on complex tasks shows that pressure for a better outcome can sometimes consume attention that would be better spent learning how the task works. In those circumstances, a learning goal — discovering, testing or mastering an effective method — can outperform a demanding outcome goal.[sciencedirect.com]sciencedirect.comA meta-analytic study of the effects of goal setting on task performance: 1966–1984 - ScienceDirect…
The practical question is therefore not simply, “Is this goal difficult?” It is: What kind of difficulty is stopping me?
What effort difficulty looks like
Effort difficulty occurs when the route from action to result is reasonably well understood. You possess the relevant knowledge and basic skill; the challenge is supplying enough attention, intensity, consistency or persistence to execute what you already know.
This is the situation in which conventional challenging goals are most at home. Goal-setting research has found that specific, difficult goals can direct attention, regulate effort and encourage persistence, while feedback lets people compare their actual performance with the target. The classic meta-analysis of studies from 1966 to 1984 found strong support for difficult goals over easy goals and for specific, difficult goals over vague “do your best” instructions or no goal. It also found support for pairing difficult goals with feedback.[ScienceDirect]sciencedirect.comA meta-analytic study of the effects of goal setting on task performance: 1966–1984 - ScienceDirect…
Imagine that you already know how to run five kilometres comfortably but want to improve your time. Your training plan is sensible, your pacing is understood and completing the sessions reliably improves your fitness. If you repeatedly skip the harder workouts, the principal bottleneck may genuinely be execution. A more demanding but attainable training target can increase the amount or quality of work directed at the result.
The same pattern can appear in less physical goals. You may know how to prepare a standard report but keep leaving it until the deadline, or know the revision technique that works for a familiar subject but fail to put in sufficient sessions. In such cases, the gap between present and desired performance can plausibly be closed largely by doing more consistently, for longer, or to a higher standard.
A useful diagnostic is to ask what would happen if someone offered you a compelling incentive to succeed tomorrow. If you could immediately describe the actions you would take — and those actions have already been shown to work — the problem probably contains a substantial effort component. More motivation can change execution because the necessary knowledge is already available.
Experience matters here. A field study of 347 people found that both job experience and task complexity affected relationships among goal setting, strategy quality and performance. More generally, skill-acquisition research shows that the cognitive demands of a task change with practice: what initially requires substantial conscious processing can become increasingly procedural with experience.[Wiley Online Library]onlinelibrary.wiley.comWiley Online LibraryJoint moderating effects of job experience and task component complexity: Relations among goal setting, task strategi…
That means “effort problem” is not a permanent description of an activity. A task that is strategically difficult for a beginner may become predominantly an execution challenge for an expert.
What strategy difficulty looks like
Strategy difficulty begins when the connection between effort and results is uncertain. You may be highly motivated and busy, yet still have unanswered questions about what to do, what to attend to, which method to choose, or why your current approach is failing.
Novel and complex tasks are particularly likely to create this problem. A meta-analysis of 125 goal-setting studies specifically examined task complexity as a moderator of goal effects, reflecting the fact that the effectiveness of demanding goals cannot simply be assumed to remain constant as a task requires more information processing and interdependent actions.[ResearchGate]researchgate.netOpen source on researchgate.net.
An especially revealing set of experiments used a stock-prediction task in which participants had to work out how several cues related to outcomes. Difficult performance goals did not merely ask participants to work harder: they increased strategy-search activity. Yet that extra searching could actually reduce prediction accuracy. The researchers argued that specific, difficult goals can lose their advantage on novel tasks when people have multiple possible strategies but do not know which one is effective.[ResearchGate]researchgate.netResearchGate(PDF) Goals, Strategy Development, and Task Performance: Some Limits on the Efficacy of Goal SettingFebruary 1, 1989…
A follow-up study makes the risk clearer. Researchers testing interventions for the same sort of strategy problem warned that difficult goals can produce excessive strategy search when an effective approach is not readily identifiable. Helping people search more intelligently — by restricting the search space or teaching search methods — changed what the demanding goal could accomplish.[Sage Journals]journals.sagepub.comSage JournalsTask Strategy Interventions in Goal Setting: The Importance of Search in Strategy Development - P. Christopher Earley, Terry…
This is an important correction to the familiar idea that a hard goal automatically makes you “try harder”. On a strategy-limited task, greater pressure can instead make you try more things. That is useful only if the search process helps distinguish good strategies from bad ones. Rapidly switching approaches without evaluating them can generate considerable activity with little learning.
A strategy problem therefore often has recognisable signs:
- More of the same produces little improvement. Additional hours mostly repeat the same errors.
- You cannot explain the mechanism of success. Good and bad performances occur, but you are unsure what caused the difference.
- You keep changing methods. Effort is high, but experimentation is unsystematic.
- Feedback surprises you. You regularly predict that an action will work and discover that it does not.
- A knowledgeable person could probably save you substantial time. Instruction, examples or a better model of the task would be more valuable than encouragement.
- You cannot yet write a credible process goal. “Get a better result” is clear, but the behaviours most likely to produce it are not.
The dividing line is knowledge, not how tiring the work feels. Strategy discovery itself can require enormous effort. Someone spending ten intense hours debugging an unfamiliar system may be working much harder than an expert who fixes the same fault in twenty minutes. High effort does not prove that effort is the bottleneck.
Why more pressure can solve the wrong problem
The danger of misdiagnosis is asymmetric. If you have a good strategy but apply it half-heartedly, insufficient challenge can leave performance below your capabilities. But if you lack a good strategy, raising the outcome target can increase pressure on a system that does not yet know how to deliver the outcome.
Seijts and Latham describe this distinction directly: where a task primarily requires acquisition of knowledge and skill rather than greater effort and persistence, a challenging learning goal can be more appropriate than an outcome goal. The learning goal shifts attention from immediately attaining the final result towards discovering effective processes and strategies.[Academy of Management Journals]journals.aom.orgOpen source on aom.org.
Their class-scheduling experiment offers a concrete example. Ninety-six participants had to acquire knowledge to perform a moderately complex task. A specific, difficult outcome goal produced worse performance than simply telling participants to do their best, whereas a specific, difficult learning goal produced better performance than the “do your best” condition. The number of task-relevant strategies discovered was positively associated with performance, and participants assigned the learning goal implemented more relevant strategies than participants in the other conditions.[Wiley Online Library]onlinelibrary.wiley.comOpen source on wiley.com.
Research using a complex business simulation found a similar pattern: a specific learning goal produced higher performance than either a specific performance goal or a vague goal, with information search helping to explain the advantage.[Academy of Management Journals]journals.aom.orgOpen source on aom.org.
This does not mean that performance goals are generally harmful or that every difficult task should become a learning exercise. The distinction depends on what the task currently demands from the particular person. Research reviews indicate that performance goals can work well on relatively straightforward tasks, while the advantage of learning-oriented goals becomes more relevant when knowledge acquisition and complexity are central.[ResearchGate]researchgate.netResearch Gate G.P. Latham & E.A. Locke: Goal Setting ResearchResearch Gate G.P. Latham & E.A. Locke: Goal Setting Research
There is also reason to resist turning “learning goals are better” into another universal slogan. A 2021 meta-analysis covering 90 studies, 235 effect sizes and 11,247 participants found that experimentally induced mastery-approach goals improved performance relative to performance-approach, performance-avoidance and no-goal conditions overall, but effects varied with how goals were defined and framed. Goal type is not a simple switch whose effects are identical in every setting.[Springer]link.springer.comOpen source on springer.com.
The narrower and more defensible lesson is this: when knowledge about how to perform is the limiting resource, increasing demands on the final outcome can target the wrong variable.
Choosing the right response
You rarely need to diagnose a goal as 100% effort or 100% strategy. Real self-improvement problems usually contain both. The useful question is which constraint should receive attention now.
Start with the evidence from your recent attempts. If the same known-effective behaviour produces predictable progress when you actually perform it, but you repeatedly fail to execute it, treat the next challenge mainly as an effort problem. Make the behavioural target more specific, demanding and measurable, and use feedback to see whether greater execution translates into better results. That approach fits the conditions under which difficult goals have their strongest theoretical rationale.[ScienceDirect]sciencedirect.comA meta-analytic study of the effects of goal setting on task performance: 1966–1984 - ScienceDirect…
If serious effort repeatedly produces confusing results, switch the target of difficulty. Instead of “achieve X by Friday”, use a demanding learning objective such as “identify and test three plausible methods”, “get feedback on two attempts and explain the recurring errors”, or “demonstrate that I can perform each component correctly before increasing speed”. The goal remains challenging; what changes is what success means during this phase.
That shift is supported by evidence that strategy development can mediate later performance. In the class-scheduling study, strategy discovery was linked with performance and self-efficacy. Research on complex-task learning likewise shows that the information-processing demands of skill acquisition change with practice. Once knowledge and procedures become established, there is more justification for moving emphasis from discovering the method to demanding better execution of it.[Wiley Online Library]onlinelibrary.wiley.comOpen source on wiley.com.
There is a third possibility worth recognising: the strategy is known but you cannot yet execute it reliably. A novice pianist may understand exactly how a passage should be played but lack the motor skill to perform it at full tempo. That is not simply laziness and does not require endlessly searching for a new technique. It calls for practice that converts knowledge into skill. Research on skill acquisition distinguishes stages in which the cognitive and attentional demands of performance change as practice turns knowledge into increasingly procedural performance.[Sage Journals]journals.sagepub.comOpen source on sagepub.com.
A practical decision rule is therefore:
- Do I know a method that reliably works? If no, prioritise learning, feedback and controlled strategy testing.
- Can I execute that method correctly at a lower level of difficulty? If no, prioritise skill practice rather than simply raising the outcome target.
- Can I execute it, but am I failing to do enough of it? If yes, greater challenge, consistency and persistence are more plausible remedies.
- Does increasing effort improve the result? If no, reconsider the diagnosis rather than automatically increasing pressure.
The last question is especially important. Feedback is not merely a scorecard; it helps identify which kind of difficulty you are facing. If doubling your disciplined practice produces the expected improvement, effort was probably an important constraint. If it merely produces twice as much unsuccessful activity, the next useful move is more likely to be investigation than escalation.
Difficulty should move as knowledge grows
Effort difficulty and strategy difficulty can alternate within the same goal. Learning to code, manage people, write persuasively, invest, play a sport or build a business may initially involve substantial uncertainty about effective methods. Later, after useful strategies have been discovered and practised, the main challenge may become consistent execution. New circumstances can then make the task strategically difficult again.
Research on complex skill acquisition fits this dynamic picture: the information-processing and ability demands of a task change with practice, rather than remaining fixed from novice to expert performance. Studies of complex air-traffic-control simulations, for example, have been used to show that different abilities become more or less important at different stages of acquiring a skill.[EBSCO OpenURL]openurl.ebsco.comEBSCO OpenURLMotivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition. | EBSCOhost…
This is why goal difficulty should not be calibrated only by asking how ambitious the final number looks. A target can be demanding in the wrong dimension. When the route is known, challenge can productively demand more execution. When the route is unknown, the productive challenge is often to learn faster, test more intelligently and reduce uncertainty.
The distinction turns “work harder” and “work smarter” from competing slogans into different prescriptions. Work harder when execution is the bottleneck. Learn better when strategy is the bottleneck. The best self-improvement goals become more demanding only after identifying which of those problems the extra difficulty is actually meant to solve.
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