Real-Time Adherence - are people doing the planned work, and is it producing enough?
Objective. Teach the customer value of Real-Time Adherence (RTA): a live control room that compares actual activity and output against the published schedule, so a team lead can see drift while the day is still fixable. Learn to explain the three layers - schedule, work and output adherence - and why they answer different questions.
RTA is the live floor view for a contact centre or RCM operation. Most adherence tools stop at 'is the agent logged in on the right state at the right time'. RTA adds whether that activity is actually producing work and whether that work meets the output standard, so a supervisor intervenes on the right person for the right reason inside the shift rather than reading about it tomorrow.
See it in the demo
The customer problem
A WFM team builds a careful schedule, then loses it to the day. Agents drift off-plan - late back from break, parked in an aux state, logged in but idle - and nobody sees it until the service level has already slipped. In a 6,000-seat RCM operation like KnackGlobal, or a contact centre like OVO, a single interval of under-coverage multiplied across queues becomes missed SLA, abandoned calls and backlog the next morning.
The deeper problem is that most real-time tools only watch schedule state. An agent can be perfectly 'adherent' - logged in, in the right state, on time - and still be producing almost nothing. A team lead staring at a green adherence board has no way to tell the genuinely busy agent from the one who is present but not working. The question the business actually cares about - is the planned activity delivering the work we need right now - goes unanswered until output is counted hours later.
Business impact
When adherence is only visible after the fact, the intervention window closes. A shortage spotted at end of day cannot be staffed; it can only be apologised for. The cost shows up as SLA penalties, overtime to clear the backlog the drift created, and in RCM as touches that did not happen on time-sensitive claims (timely-filing windows, appeal deadlines).
The single-layer blind spot has a second cost: supervisors coach the wrong behaviour. They chase the agent who is two minutes late from break while the agent who is schedule-perfect but 40 percent below the output standard goes unnoticed. Effort is spent policing presence instead of protecting delivery. For a displacement deal against an incumbent WFM or adherence tool, this is the wedge - the incumbent proves attendance; it cannot prove that attendance turned into work.
How Time Champ addresses it
RTA presents a live Control Room (https://rta.demo.timechamp.io/#/control) that layers three distinct adherence reads on top of the same roster:
- Schedule adherence - is the agent in the planned state at the planned time (the classic view).
- Work adherence - is that scheduled time actually being spent on work, drawn from activity capture.
- Output adherence - is the work that is happening meeting the expected output standard for the interval.
The layered view lets a supervisor move from 'who is off-plan' to 'who is on-plan but not producing'. Coverage and intraday (https://rta.demo.timechamp.io/#/coverage) shows where the interval is thin; Live adherence (https://rta.demo.timechamp.io/#/agents) drills to the individual. Grace rules and exceptions are configurable so a 90-second overrun is not flagged as a violation. Confirm with product which activity sources and schedule feeds are wired in a given customer's entitlement - the demo shows the model, not a specific integration.
What to say / do
Sales - the layered-view demo. Open the Control Room and ask: 'Today, can your floor leads tell the difference between someone off-schedule and someone on-schedule who isn't producing?' Then walk the three layers in order. Show a green schedule-adherence row, then flip to output adherence and reveal the same agent sitting below standard. The 'aha' is that two agents can look identical on a normal adherence board and be completely different problems. Qualify with: 'How do you catch intraday drift today - who watches it, and how late is the signal?'
CSM - make the exception review real. Before adherence numbers mean anything, validate the plumbing: is the activity mapping correct, is the schedule the currently published version (not a stale import), are grace rules and time zones right, and how fresh is the data. Then sit with a real team lead for one shift, review the exceptions the board raises, and have them justify or action each one. The adoption goal is a named owner watching the room during the shift and an agreed response time to an exception - not a dashboard nobody looks at live.
Measurable value
Frame value as faster, better-targeted intervention, not as a headline 'X percent improvement' we cannot substantiate. Candidate measures to agree with the customer and baseline honestly:
- Exception response time - minutes from an off-plan or below-output signal to a lead acting on it. The whole point of RTA is to shrink this.
- Reviewed exceptions - what share of raised exceptions actually get looked at and dispositioned, versus ignored.
- The three adherences measured separately - schedule, work and output tracked as distinct numbers, so the customer stops conflating presence with productivity.
Tie these to the business outcome the customer already owns (SLA attainment, abandon rate, backlog cleared same-day), but do not promise a specific movement in those - RTA shortens the loop; the customer's action closes it.
Objections and honest limits
'This is just surveillance dressed up.' RTA is a floor-management tool for live coverage, not a behaviour-scoring system. The output layer exists to protect delivery and redirect coaching, and capture policy, access scope and employee communication should be agreed up front (see Employee Monitoring). Position it as helping leads help agents inside the shift.
'We already have real-time adherence in our WFM.' Likely true for schedule adherence. The differentiator is the work and output layers - ask whether the incumbent can show that scheduled time turned into work meeting standard. Most cannot.
Honest limit: output adherence is only as good as the output standard and the activity capture behind it. If standards are not yet trusted or capture coverage is thin, the output layer is directional, not definitive - say so. Confirm with product the real-time data latency and which schedule/activity sources are supported before quoting freshness.
Interpretation check
An employee can be schedule-adherent and active while still below the output standard. Green on the schedule board does not mean the work is getting done - that is exactly why the work and output layers exist. Never let a customer read schedule adherence as proof of productivity.
In the field
OVO (contact centre): the effort-to-outcome POC is exactly RTA's thesis - presence and even activity are not the goal; work meeting standard is. KnackGlobal (RCM, ~6,000 seats): intraday coverage on time-sensitive claim queues is where same-day drift turns into missed filing/appeal windows, so shrinking exception response time has a direct revenue-cycle cost attached.
Practical task
Open the Control Room on the demo, pick one agent who looks fine on schedule adherence, and write a 5-line floor-lead note that walks the three layers for that agent and ends with the single intervention you would make and the response-time target. Then list the four plumbing checks (activity mapping, published-schedule version, grace rules/time zone, data freshness) you would run before trusting the output layer for a real account.
Self-check
A supervisor says 'my whole team is 98 percent adherent, so we're fine.' Why is that not enough, and what do you show them?
Schedule adherence only confirms presence/state at time. Show the work and output adherence layers - an agent can be 98 percent schedule-adherent and still below the output standard. The 98 percent answers 'are they on plan', not 'is the plan producing work'.
Why is RTA a control-room tool rather than a report?
Its value is intraday - seeing drift while the day is still fixable. A report tells you yesterday's shortage, which can only be apologised for. RTA shortens the loop so a lead can act inside the shift.
Before trusting the output-adherence layer for a customer, what two things must a CSM validate?
That the activity mapping and output standard behind it are correct and trusted, and that the schedule feeding the room is the currently published version with correct grace rules and time zone - otherwise the layer is directional only.
What is the honest limit of the output layer in a demo versus production?
The demo shows the three-layer model on seeded data. In production the output layer depends on real activity capture coverage and a trusted output standard; if those are thin it is directional, not definitive. Confirm sources and latency with product.
In a displacement deal against an incumbent adherence tool, what is the wedge?
The incumbent proves schedule adherence (presence). RTA adds work and output adherence - proving the presence turned into work meeting standard. Ask the customer if their current tool can show that; most cannot.
Verified vs demo. The three-layer adherence model, control room, coverage and agent drill-downs are demo-shown at rta.demo.timechamp.io on seeded data. Specific real-time data latency, supported schedule/activity integrations and the strength of a customer's output standard are production-dependent - confirm with product.