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When Learning Goals Beat Performance Targets

When you are still learning how to succeed, goals about practicing skills or strategies may beat rigid performance targets.

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On this page

  • Why complex tasks need a different approach
  • Examples of useful learning targets
  • Moving from learning to performance

Introduction

When a task is unfamiliar and complex, a demanding performance target can be premature. If you do not yet know the best way to perform the task, simply pushing for a higher score, faster completion or better output can consume attention without teaching you what to do differently. In that stage, a learning goal — a target focused on discovering, practising or applying useful strategies — can be more effective.

Overview image for Learning Goals
Illustrative overview

This is not an argument against ambitious performance goals. Research on goal setting broadly supports challenging goals when people already possess the relevant knowledge and skills. The important qualification is task stage. Experiments on complex scheduling, business simulations and skill acquisition suggest that beginners often perform better when their immediate target is to learn how the task works and identify effective strategies. Once those strategies become sufficiently reliable, performance goals become much more useful.[aom.org]journals.aom.orgAcademy of Management JournalsLearning versus performance goals: When should each be used? | Academy of Management PerspectivesFebruary 1…

Learning Goals illustration 3
Explanatory illustration 3

Why complex tasks need a different approach

A performance goal specifies an end result: finish the analysis in two hours, make ten sales, score 80 per cent, run five kilometres in a particular time. Such goals can work well when the path to the result is already reasonably clear. They direct attention, increase effort and encourage persistence.

An unfamiliar complex task presents a different problem. The limiting factor may not be effort at all. You may lack a mental model of the task, misunderstand which variables matter or possess no dependable strategy for handling them. Goal-setting researchers Gerard Seijts and Gary Latham therefore distinguish situations that require working harder from those that initially require learning how to work effectively. A learning goal redirects attention from proving that you can already produce the result towards discovering the processes that make the result possible.[Academy of Management Journals]journals.aom.orgAcademy of Management JournalsLearning versus performance goals: When should each be used? | Academy of Management PerspectivesFebruary 1…

A classic experiment by Dawn Winters and Gary Latham illustrates the distinction. Business students completed either a simple or complex scheduling task. On the simple version, an outcome goal produced better performance than merely telling participants to do their best. On the complex version, however, participants assigned a learning goal performed significantly better than those given either an outcome goal or a do-your-best instruction. They also reported higher self-efficacy than the do-your-best group and used more effective task strategies.[Sage Journals]journals.sagepub.comSage JournalsThe Effect of Learning versus Outcome Goals on a Simple versus a Complex Task - Dawn Winters, Gary P. Latham, 1996…

Earlier work with more than 1,000 US Air Force trainees performing simulated air-traffic-control tasks reached a related conclusion. Kanfer and Ackerman found that the effects of goal setting depended on where people were in skill acquisition. Early in a cognitively demanding task, regulating yourself around a difficult performance target can compete for the same limited attention needed to understand and execute the task itself.[EBSCO OpenURL]openurl.ebsco.comEBSCO OpenURLMotivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition. | EBSCOhost…

That helps explain the apparently paradoxical result: trying harder to hit a number can sometimes make a beginner worse at the task. The number is not inherently harmful. The problem is that the learner has been given an output standard before possessing an adequate method for reaching it.

Research on complex tasks also warns about narrowed attention. A difficult performance target may encourage people to focus heavily on the measured outcome, prematurely commit to a strategy or keep changing tactics without evaluating what they are learning from each attempt. The risk rises when successful performance requires coordinating several pieces of information or adapting as conditions change.[ScienceDirect]sciencedirect.comOpen source on sciencedirect.com.

A quantitative review of learning-goal research concluded that the advantage is especially relevant when tasks are complex for the person performing them. A separate meta-analysis of experimentally induced motivational states similarly found an overall advantage for learning or mastery goals over performance goals, with the difference appearing particularly important on relatively complex tasks.[ResearchGate]researchgate.netResearch Gate(PDF) Learning goals: A qualitative and quantitative reviewResearchGate(PDF) Learning goals: A qualitative and quantitative reviewJanuary 1, 2013…Published: January 1, 2013

The phrase “complex for the person” matters. Complexity is not just an inherent property of an activity. A spreadsheet model may be difficult for a first-time analyst and routine for an experienced finance professional. Writing a sales proposal may demand substantial learning from someone entering sales while requiring little strategic discovery from a veteran. The appropriate goal can therefore change even though the nominal task stays the same.

Learning Goals illustration 1
Explanatory illustration 1

Examples of useful learning targets

A useful learning goal is more concrete than “learn more” but does not demand an outcome that the person does not yet know how to produce. It specifies something to discover, practise, test or understand.

Suppose someone is learning data analysis. An early performance goal might be, “Finish this analysis in 90 minutes with no mistakes.” That combines speed and accuracy before the learner necessarily understands the workflow. A learning goal could instead be:

  • identify three reliable ways to check the dataset for missing or implausible values;
  • practise choosing an appropriate chart for five different analytical questions;
  • complete the analysis once while documenting every validation step;
  • compare two methods and explain when each is appropriate.

The same distinction applies to public speaking. “Deliver a presentation that scores 9/10” is an output target. A novice may obtain more value initially from goals such as rehearsing three opening techniques, learning to replace filler words with pauses, or reviewing a recording to identify two specific changes for the next attempt.

For learning a complicated software package, “complete the project twice as fast” may be less useful initially than “discover and practise five shortcuts that remove repeated manual steps” or “complete three representative tasks without consulting the tutorial”. For a new manager, “raise team productivity by 15 per cent” can coexist as a long-term objective, while the immediate learning goals concern conducting useful one-to-ones, diagnosing workflow bottlenecks and testing ways of delegating clearly.

The crucial feature is that the target should lead to task-relevant knowledge or strategy, rather than simply lowering expectations. Learning goals are not an instruction to take it easy. In the research tradition discussed here, they can themselves be specific and challenging: identify a certain number of effective strategies, master a set of procedures, test alternative approaches or accurately explain why one approach works better than another.[Academy of Management Journals]journals.aom.orgAcademy of Management JournalsLearning versus performance goals: When should each be used? | Academy of Management PerspectivesFebruary 1…

One laboratory study involving a moderately complex scheduling task makes this especially clear. Participants given a specific difficult learning goal performed better than those told simply to do their best, and the number of task-relevant strategies discovered was positively associated with performance. The benefit came not from abandoning goals but from aiming goal-directed effort at strategy acquisition.[Wiley Online Library]onlinelibrary.wiley.comOpen source on wiley.com.

A later complex business-simulation study reached much the same conclusion. A specific learning goal produced better performance than either a specific performance goal or a vague goal. Information search and self-efficacy helped explain the advantage: people prompted to learn searched for useful information and developed greater confidence as their understanding improved.[DOI]doi.orgOpen source on doi.org.

There is also field evidence beyond short laboratory exercises. In a study of MBA students, participants assigned specific difficult learning goals ultimately achieved higher grade-point averages than those given a distal performance goal, while also reporting greater satisfaction with the programme. This does not mean every student should replace grades with learning targets, but it shows how a learning orientation can be useful during extended acquisition of difficult knowledge and skills.[IAAP Journals]iaap-journals.onlinelibrary.wiley.comOpen source on wiley.com.

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Make the learning target measurable without distorting it

People familiar with conventional goal-setting advice may be tempted to turn every learning objective into a rigid numerical quota. Some specificity is useful because it makes the goal actionable, but the metric should represent genuine learning rather than an arbitrary count.

“Find five strategies” is helpful only if finding five plausible strategies actually advances competence. If the task instead requires careful diagnosis, “test two approaches and record what changed” may be better. When feedback is slow, “make five sales today” may teach little; “try two opening approaches across today’s calls and compare response patterns afterwards” creates a learning loop.

Good learning targets usually involve one or more of four activities:

  • Discover: identify principles, cues, common errors or effective strategies.
  • Practise: repeat an important component until execution becomes more reliable.
  • Test: compare approaches under reasonably similar conditions.
  • Explain: articulate why a method works, when it fails and what you would change next time.

This turns early attempts into information rather than verdicts. A weak result can still represent progress if it reveals that a strategy does not work or exposes a missing skill. That distinction is valuable because early performance on unfamiliar tasks is often noisy: a beginner can obtain a good result by luck or a poor one despite choosing a promising strategy.

There are limits, however. Evidence does not support a crude rule that learning goals always outperform performance goals. In one study of interdependent teams completing a command-and-control simulation, specific learning goals actually produced worse team performance than general learning instructions or specific performance goals, with coordination helping explain the effect. The individual-level findings therefore should not be mechanically applied to every group setting.[ScienceDirect]sciencedirect.comOpen source on sciencedirect.com.

The broader lesson is to match the goal to the bottleneck. If the main constraint is insufficient knowledge, strategy or coordination, target that constraint. If the method is already understood and the main problem is effort, persistence or execution, a performance goal becomes more appropriate.

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Learning Goals illustration 2
Explanatory illustration 2

Moving from learning to performance

Learning goals are most useful as a phase, not necessarily a permanent substitute for results. The objective is to acquire enough knowledge and skill that performance targets become informative rather than distracting.

A sensible transition can be organised around three questions:

  1. Do I know a plausible way to succeed? You should be able to describe the main steps or strategies rather than relying on blind trial and error.
  2. Can I execute those strategies reasonably consistently? Occasional success is weaker evidence than repeatable performance.
  3. Does feedback now tell me mainly how well I executed, rather than revealing that I do not understand the task? When errors are increasingly execution problems rather than comprehension problems, performance targets become more useful.

Goal-setting researchers have explicitly recommended this staged approach: avoid demanding specific performance outcomes early in a complex skill-acquisition process, build relevant knowledge and strategies first, and introduce performance goals as competence develops.[Taylor & Francis Online]tandfonline.comOpen source on tandfonline.com.

The transition need not be abrupt. A learner can retain a long-term performance objective while using learning targets for the current training block. Someone preparing for a half-marathon might ultimately want a particular finishing time but initially concentrate on learning sustainable pacing, fuelling and recovery. A novice salesperson can retain a revenue ambition while spending the first few weeks learning how to qualify prospects, handle recurring objections and review calls systematically.

Performance measures can also remain in the background as feedback without becoming the immediate goal. Record completion time, sales conversion or test scores, but ask first whether the underlying process is improving. Once a reasonably effective process exists, those same measures can move to the foreground.

This is the practical distinction that makes learning goals valuable for self-improvement: do not judge a developing skill exclusively by the standard appropriate to an already-developed skill. When you know what to do, challenging performance targets can help you do more of it. When you do not yet know what works, the better target is often to discover, practise and refine the strategies that will make later performance possible.[Academy of Management Journals]journals.aom.orgAcademy of Management JournalsLearning versus performance goals: When should each be used? | Academy of Management PerspectivesFebruary 1…

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