Feedback that answers three questions (Where am I going? How am I doing? Where to next?) improves learning¶
Claim · All claims
Evidence · 1 study · reviewr?·q2· n=N/A (a synthesis, not a study of individual participants)
Currency · newest study 2007 · not yet checked against its sources · not reviewed by a person
Feedback is most effective when it tells learners the goal, their current status relative to that goal, and the next actionable step. The three questions — goal, gap, next step — form a loop that connects instruction to learning: without a goal, performance information has no reference point; without gap information, learners cannot calibrate; without a next step, feedback stops at evaluation.
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Feedback is most effective when it helps close the gap between current and desired performance, which is the conceptual basis for organizing feedback around a goal, a status-relative-to-goal judgment, and a next step, though no single effect size attaches to the three-question framing itself. → Hattie Timperley 2007
Evidence¶
Hattie Timperley 2007¶
Hattie, J., & Timperley, H. (2007). The Power of Feedback. Review of Educational Research, 77(1), 81–112. doi:10.3102/003465430298487
q2 · conceptual analysis and narrative review of the feedback literature (not a meta-analysis with a pooled effect size) · i? · no single effect size reported for the three-question framework itself · n=N/A (a synthesis, not a study of individual participants) · review · r?
This is the paper's origin: Hattie and Timperley propose a model in which effective feedback answers three questions — "Where am I going?", "How am I doing?", and "Where to next?" — operating across four levels (task, process, self-regulation, self), and argue this reduces the discrepancy between current understanding and a learning goal. They synthesize prior empirical and theoretical work on feedback's effect on learning and achievement to build the model rather than reporting a new primary study or a pooled quantitative estimate specific to the three-question structure. Re-read in full text (2026-10-21). The review calls the three questions feed up, feed back and feed forward, and says of "Where to next?" that the feed-forward question "can have some of the most powerful impacts on learning"; it also notes that too often students learn that the answer to "Where to next?" is simply "more" tasks. It prints effect sizes only from earlier meta-analyses it summarises (its Tables 1–3), none of which tests the three-question structure, so the i? stands.
"This feed-forward question can have some of the most powerful impacts on learning."
Discussion¶
Why the loop closes. The framework's power lies in closing the loop between instruction and learning: without a clear goal ("Where am I going?"), performance information has no reference point; without gap information ("How am I doing?"), learners cannot calibrate; without a next step ("Where to next?"), feedback stops at evaluation rather than guiding improvement. Feedback that only rewards or grades, without answering the third question, is often described in the literature as the least effective form — which is why action-oriented feedback centers on the "where to next" step specifically.
Moderators to pin down. Three boundary conditions are commonly discussed: (a) feedback directing attention to the self rather than the task tends to be less effective; (b) detailed feedback may diminish or reverse in value for highly proficient learners — an expertise-reversal pattern analogous to Cognitive Load Theory and the expertise reversal effect — so feedback detail should fade as proficiency grows; and (c) feedback must arrive while learners can still act on it — timing and opportunity to act are moderators, not afterthoughts, linking the claim to assessment for learning practice generally. The framework also presupposes that learners monitor and act on the information, placing it inside self-regulated learning: the three questions map onto goal setting, self-monitoring, and strategy adjustment.
Status of the evidence. The three-question framing is a widely used organizing heuristic in the formative assessment literature, but no supporting studies have yet been pinned to this page, so the claim's strength cannot be rated. The related claim Assessment for learning improves achievement shares the goal–gap–next-step loop.
Open questions. Whether the three questions must be answered explicitly by the teacher or can be partially answered by learners through self-assessment; how the framework interacts with grading (grades appended to comments may wash out the benefit of the comments); whether "where to next" must be immediately actionable or can be a longer-term learning intention; and whether the three questions operate as a package or whether the third question carries most of the effect on its own.
Merged from “Feedback Answers Three Questions” (feedback-answers-three-questions): The three-question framing treats feedback as information about the gap between a current state and a target state, not as praise, blame, or a verdict. Each question implies a different design decision:
- Where am I going? requires that goals and success criteria be visible to learners before performance, connecting feedback to assessment for learning and to clear structure. Feedback against unclear or unshared goals tends to be interpreted idiosyncratically.
- How am I going? requires evidence of current performance relative to the goal — which is why feedback is tightly coupled with assessment and with check-ins that surface progress during, not after, learning.
- Where to next? is the action-oriented component: feedback must suggest a next step the learner can take. This aligns with action-oriented feedback and supports self-regulated learning, since learners who know the next move can begin managing their own progress.
A key boundary condition in the feedback literature is the level at which feedback is directed. Feedback about the task and about the processes used to do the task is generally more useful than feedback directed at the person ("you're so smart"), which can steer attention toward self-protection rather than strategy adjustment. This interacts with learner expertise: novices typically need task-level feedback, while more advanced learners benefit more from process and self-regulation levels — a moderation consistent with the expertise reversal effect.
Constraints on the model follow from these boundary conditions. Feedback loses effectiveness when it directs attention to the self rather than the task, when goals are unshared or ambiguous so that "how am I going?" has no stable reference point, and when learners lack the prerequisite knowledge to act on "where to next?" guidance — in that case, next-step advice becomes noise rather than direction. Automated or rubric-driven feedback environments often answer "how am I going?" adequately but fail at "where to next?", producing evaluation without direction — see Checklist evaluation ineffective online for a related boundary case.
Open questions this page should eventually resolve with cited evidence: (1) the relative effect sizes of the three questions when manipulated independently; (2) whether "where to next?" feedback loses its advantage when learners lack the prerequisite knowledge to act on it; and (3) how the model plays out in digital environments, where automated feedback can answer "how am I going?" well but struggles with "where to next?"
Related Claims¶
- Assessment for learning improves achievement — shares the goal–gap–next-step loop in formative assessment practice
- Cognitive Load Theory — explains why overly detailed feedback can overload learners
- Expertise reversal effect — detailed feedback may lose value as proficiency grows
- Self-regulated learning — the three questions map onto goal setting, self-monitoring, and strategy adjustment
- Action-oriented feedback — a strategy built around the "where to next" step
- Feedback Improves Learning When It Addresses Task Goals — related
- Feedback improves learning, with a medium average effect that varies widely by feedback type — a broader claim this one bears on
- Goal setting is widely believed to improve individual performance, and this belief is being tested in schools — related
- Feedback about self as a person is the least effective feedback level; task, process, and self-regulation feedback support learning and combine for greater impact — related
- Summative setting-level indicators do not allow quick feedback on school practices, so schools set attendance goals and monitor them weekly or monthly to determine whether new practices are improving those indicators — related
- Students trust and respect teachers who support them as learners through clear lessons, monitoring, feedback, and individualized support, not teachers who act as buddies — related
- Learners valued repeatable practice and recorded review in MedEasy while questioning missing actions and feedback criteria — a narrower finding that bears on this claim
- Formative feedback dominates authentic assessment designs while sustainable feedback is rare — related
- Established feedback frameworks do not address the epistemic status of feedback tasks relevant to automation decisions — related
- Students report awareness of feedback-acting strategies but experience difficulty carrying them out — related
- Developing a common understanding of expected learning helps all students succeed, not only those with school-aligned prior knowledge — the general claim this finding bears on, with the studies behind it
- Checklist evaluation ineffective online. — a boundary case where automated feedback answers "how am I going?" but fails to direct the learner's next step.
- Students endorsed descriptive, predictive, and prescriptive data points driven by a desire to understand study progress and act on it — a narrower finding that bears on this claim
- Progress monitoring is needed to guide next steps in planning and providing instruction and interventions — related
- The study's objective was to determine empirically whether feedback can help learners learn abstract constraints on an overgeneral rule, not merely surface forms. — a narrower finding that bears on this claim
- Summative examinations have a dual function: measuring achieved learning while also shaping and supporting learning through engagement with tasks — related
- A practitioner brief, citing Heritage (2009), reports that teachers who can identify a stage of student learning cannot necessarily identify the next instructional steps — related
- School survey report information is intended to help schools assess their progress and plan for the future — related
- Learning analytics research most often supports the 'where the learner is now' stage of formative assessment (51% of studies) and rarely the 'how to get there' stage (2%) — a narrower finding that bears on this claim
- The review proposes an evidence-based conceptual framework to guide design and practice of future LA-based feedback practices — related
- Studies of oral-reading feedback seldom engage established feedback theories, relying instead on empirical research, and none advanced theory — a narrower finding that bears on this claim
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
feedback-answers-three-questions-improves-learning |
aliases |
feedback-answers-three-questions |
title |
Feedback that answers three questions (Where am I going? How am I doing? Where to next?) improves learning |
status |
review |
newest_evidence |
2007 |
generated |
by claude/unspecified on 2026-10-21 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — hattie-timperley-2007 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.