How micro-behaviours together with AI can unlock performance
Trust is built through consistent experiences and follow-through. Micro-behaviours make “good” observable and coachable, and when paired with a clear coaching rhythm and YakTrak-powered AI, they help leaders lift coaching quality, build steadier habits and scale performance creating faster, smarter pathways from experience to results.
At the Auscontact National Conference, YakTrak and GRIST explored a simple but powerful idea: Do you trust your leader? Prove it.
Trust is not just built through intentions. It is built through consistent experiences, clear expectations and follow-through. In contact centres, where pressure is high and change is constant, the way we build those experiences matters more than ever.
That is why GRIST’s concept of micro-behaviours, together with AI, can unlock performance at scale.
The psychology of performance
GRIST’s Psychology of Performance model offers a practical way to understand what drives improvement:
Experience → Mindset → Behaviour → Results.
Experiences determine mindsets, which guide behaviour and ultimately drive results.
When experiences are positive — clear direction, regular coaching, the freedom to contribute without fear — people build stronger mindsets and better behaviours.
But when expectations are vague, difficult or unrealistic, frustration builds fast. Watching others succeed while feeling stuck can lead to disengagement. Over time, people can give up, falling into the learned helplessness effect.
It’s something we see every day when people are left guessing what success actually looks like.
Insights from 18,000 assessed goals
When YakTrak studied over 18,000 goals, the results were striking:
- Only 50.3% were specific (clearly defined what needed to be achieved)
- Only 34.1% were measurable (included a way to track progress)
- Only 47.1% had a behavioural focus (based on actions that can be seen and repeated)
It is no wonder people feel stuck. Setting a goal like “work on my AHT” sounds productive, but without clarity, it leaves too much room for guesswork — and guessing fuels frustration.
Small shifts make a big difference.
Instead of a broad target like “reduce my AHT,” a micro-behaviour goal might be:
- “On 10 calls today, I’ll introduce the process clearly to reduce my AHT to 820.”
- “On 5 calls this morning, I’ll ask at least 2 relevant clarifying questions up front to reduce my AHT to 220.”
Micro-behaviours turn vague goals into clear actions that can be practised, repeated and improved.
Clear goals not only build capability, they create momentum.
How AI helps
Assessing coaching quality is not always straightforward.
Different approaches can miss critical elements:
- A novice human coach may judge a conversation by how it feels — noticing rapport and agreement, but missing what was not there, like clear commitments or role modelling.
- Sentiment analysis tools can detect emotional tone but cannot assess if a coaching conversation is structured to drive change.
- General-purpose AI can summarise conversations but struggles to spot if key behavioural elements are missing.
The breakthrough came when we trained AI using micro-behaviours — including frameworks like GRIST’s ACDC model.
Today, YakTrak uses micro-behaviour-trained AI to assess coaching conversations, highlighting clear, observable actions that link directly to better outcomes.
It helps leaders maintain focus, scale quality conversations and strengthen coaching rhythms across teams.
Clarity unlocks trust. AI unlocks scale.
The opportunity ahead
Small actions, repeated with quality and focus, build stronger habits, stronger mindsets and better results over time.
When leaders create consistent experiences, set clear behavioural expectations and use AI to scale what works, performance compounds.
It starts with clear micro-behaviours — and it scales with AI.
Looking to improve coaching quality at scale?
YakTrak can help you define what good looks like, track coaching behaviours, and build stronger rhythms — all grounded in what actually works.
Frequently asked questions
Got questions? These FAQs explain what YakTrak is, how it fits, and the outcomes to expect so you can choose the right pathway with confidence.
Microbehaviours are small, observable actions that can be practised, repeated and coached. They're always in a person's control and directly linked to outcomes such as AHT or CSAT. Instead of targeting a metric alone, teams work on the specific behaviour that drives it.
They give leaders and agents a shared definition of "what good looks like" at a behavioural level. This makes coaching conversations clearer, reduces ambiguity, and helps agents know what to practise in their next application cycle. Over time, this consistency lifts capability and confidence.
Trained with microbehaviours, AI can highlight behavioural gaps and patterns that may be missed in a fastpaced coaching environment. It summarises coaching history, reduces mental load, and keeps the coaching rhythm visible---without replacing the leader's judgement.
A useful test is whether the goal is specific, measurable and behavioural. For example, "reduce AHT" is vague, while "on five calls, ask two clarifying questions up front" gives a clear practice commitment. YakTrak's analysis of 18,000 goals shows most teams benefit from tightening this clarity.
Yes. The principles apply regardless of tools. However, platforms like YakTrak make it easier to maintain visibility across teams---who is coaching, how often, and on what---and ensure consistent followthrough. This helps leaders embed the operating rhythm rather than relying on memory.
Trust tends to grow when expectations are clear and leaders follow through. When team members understand the behaviours that lead to success and see consistent coaching against them, they feel supported and more confident to improve.
Ready to Start Your Pathway?
Ready to move from ideas to results? Pick a quick demo to see workflows, or a discovery call to discuss your challenges. We’ll tailor the pathway.