Australian teachers already carry one of the heaviest non-teaching workloads in the OECD. The 2024 Teaching and Learning International Survey (TALIS) found Australian teachers spend roughly 26 hours a week on tasks outside actual classroom teaching, well above the OECD average, and having too much administrative work is the single most commonly reported source of teacher stress in the country, named by 69% of respondents. A 2026 State of Our Schools survey from the SSTUWA went further, naming behaviour data collection specifically as one of the key contributors to that load.
What has been missing is a clear, current picture of what that actually looks like inside an Australian classroom, week to week. So we built one.
The Behaviour Workload Index is a new annual benchmark survey asking Australian educators how much time behaviour management really takes, where that time goes, and whether the tools they use help or hinder. This is the first edition, and here is what 184 responses told us.
Headline findings (n=184)
Methodology, in brief
The Behaviour Workload Index is an anonymous, voluntary online survey open to all Australian educators: classroom teachers, coordinators, heads of department, and school leadership. It was distributed over a four-week window from 17 August to 11 September 2026, primarily through statewide Australian teacher Facebook groups, alongside direct professional outreach and LinkedIn.
The final sample of 184 responses spans primary (98), secondary (66), combined (18) and special education (2) settings, across government (149), Catholic (19) and independent (15) sectors, from every state and territory. We disclose this in full because it matters for how the findings should be read. Even after four weeks of deliberately targeting under-represented states, the sample still skews toward Queensland (41%) and classroom teachers (82%). It is a genuine, national cross-section of educators who chose to respond, recruited through professional networks rather than a stratified random sample. Read the findings below as strong, real patterns worth taking seriously, not as precise national averages. The full report sets out the complete demographic breakdown, the cross-tabulated analysis, and the limitations in detail.
Finding 1: Negative admin takes far more time than positive admin
The clearest and most consistent pattern across the whole survey is an imbalance. 44% of respondents spend two or more hours a week specifically on negative or incident-related administration: recording incidents, writing referrals, following up on consequences. On the positive side, only 6% spend that much time on recognition admin, and 59% spend under 30 minutes a week on it.
Most schools describe positive recognition as a genuine priority. Positive Behaviour for Learning (PBL), the framework adopted widely across Australian systems, is explicitly built around it, and Australia's Australian Education Research Organisation (AERO) centres its classroom-management evidence on proactive, positive practices. But the time data tells a different story about where the administrative weight actually sits. Whether that is a tooling problem, a workflow problem, or simply the nature of incident documentation being inherently more time-consuming than a quick shout-out is worth exploring in future editions.
Finding 2: Digital tools are not a guaranteed fix
62% of respondents say their digital behaviour tracking system either makes no difference to their admin time (40%) or actively increases it (22%), against 38% who say it meaningfully reduces their workload. Notably, the most common setup was not "no system" at all. Only one respondent in the entire sample described their school as entirely paper-based. The far more common pattern was digital, but fragmented: 33 respondents run multiple disconnected digital systems or spreadsheets alongside their main platform.
This lines up with the duplication finding: 60% of respondents report a moderate amount or a lot of duplicated work, the same information recorded more than once. It suggests the paper-versus-digital framing that often dominates this conversation may be the wrong lens for 2026. Fragmentation across systems, not the format itself, looks like the bigger driver of wasted time.
Finding 3: Recognition happens often, but reach is uncertain
Recognition itself is frequent: 75% of respondents say they actively recognise positive behaviour multiple times a day. But when asked how confident they are that recognition reaches the students who need it most, rather than the same visible, high-performing students repeatedly, just over half (52%) feel confident, while more than a third (35%) feel doubtful or unsure. AERO's classroom-management guidance and broader Australian research on positive behaviour support both point to consistency and equity of recognition as a key implementation factor, so this gap is worth watching.
Finding 4: Perceived effectiveness is split, and it may not be about the tools
Half of respondents (50%) rate their school's current behaviour management approach as somewhat or very ineffective, against 37% who rate it effective. What stands out most is not the number itself, it is the open-text responses explaining why. The most common theme by far is not dissatisfaction with a particular app or system. It is inconsistency: behaviour expectations, or consequences, not being followed through consistently by leadership or across classrooms.
This tracks with a growing body of Australian implementation research. AERO and NSW's Centre for Education Statistics and Evaluation have both highlighted consistency and implementation fidelity, meaning how consistently a behaviour approach is actually applied day to day, as a stronger predictor of outcomes than the specific framework or tool a school adopts (see the CESE What Works Best classroom management evidence guide). If that holds true here, it suggests the workload problem and the effectiveness problem, while related, may need different solutions.
The full report adds one more wrinkle worth flagging: perceived effectiveness varied sharply by role. Every Deputy Principal or Principal in the sample rated their school's approach as effective or neutral, and none rated it ineffective, while Heads of Department were the most critical group. The leadership sub-sample is small (n=7), so this is a pattern to investigate rather than a settled result, but the direction, leaders seeing the system working better than the teachers running it, is a familiar one.
The complete Behaviour Workload Index 2026, with the full demographic breakdown, cross-tabs by school type and role, and methodology.
What is next
This is the first edition of what is intended to be an annual benchmark. We plan to run it again around the same time next year, using the same core questions, so changes can be tracked year on year. Thank you to everyone who took part, and to the teacher communities across every state who shared it.
If the imbalance in Finding 1 sounds familiar, it is one of the reasons we built AchievoEDU the way we did: making positive recognition fast enough to be a by-product of teaching rather than another admin task. You can see how that works in practice with a free teacher trial using your own classes, or book a demo.