Work Output - Application Overview

The customer problem

A customer can have fully-utilised, clearly-present teams and still miss delivery. Activity and attendance tell you people were busy; they do not tell you whether the expected work got done, to standard, at acceptable quality and cost. For an RCM operation this is the whole game: a team can look fully occupied while claims age, rework climbs and cost per clean claim quietly rises.

The business impact is paid-for-but-unrealised capacity and invisible cost. Leaders negotiate headcount and overtime against busyness, not output; they cannot answer 'are we getting the work we are paying for?' with evidence. When they try to compare two teams, they compare raw counts that ignore complexity, tenure and quality, and reach wrong conclusions. In a displacement fight like KnackGlobal versus ProHance, the decisive customer question is output per FTE and cost per clean claim - exactly what activity tools cannot show.

How Time Champ addresses it

Work Output counts completed work and puts it in context. The demo areas include Transactions, people and teams, processes, clients, quadrants, benchmarks, root cause, AI impact, improvements, backlog and SLA, quality, cost, coaching, Output Studio, targets and planning feedback.

The core chain is time-to-outcome: from the hours spent, to the work units completed, to whether that attainment met the expected standard - and then to the quality and cost of that output. Quadrants and benchmarks let you position teams, backlog and SLA show what is slipping, and root cause and improvements connect a shortfall to something actionable. Crucially it carries complexity and standards, so a count means something: ten simple transactions are not ten complex ones.

Confirm with product how completion is defined and which systems feed the transaction counts for a given customer; the demo shows the model and a seeded dataset, not a customer's live integration.

The value and how to measure it

The value is the ability to manage to results: to see clean output per paid hour, to know the cost of a clean unit, and to tell apart a team that is busy from a team that is delivering. That reframes capacity, overtime and staffing decisions around output rather than activity.

Measure with the grounding's candidate measures: counted-work coverage (what share of real completed work is actually counted - gaps here undercut everything); trusted standards (are the expected-standard values agreed and credible, not arbitrary); clean output per paid hour (output that met quality, over the paid hours that produced it); and cost per clean unit (the figure that wins RCM displacement arguments). Keep 'clean' honest - output per hour without the quality filter flatters a team that is producing fast and wrong.

Sales task made concrete

Your task is to show the time-to-outcome chain, then contrast utilisation with output attainment. Concretely:

1. Open the overview (https://work-output.demo.timechamp.io/#/overview), then Transactions (https://work-output.demo.timechamp.io/#/transactions) and People and teams (https://work-output.demo.timechamp.io/#/people).
2. Walk the chain for one team: hours in, work units completed, attainment against the expected standard, and the quality and cost of that output.
3. Then the decisive contrast: put a utilisation figure (from Time and Activity) next to output attainment. Find the team that is highly utilised but below attainment, or the reverse, and say: 'Busy is not the same as delivering - here is a team that is fully occupied and still short of standard. That is the gap your current tools cannot show.'
4. Pre-empt the comparison trap: before comparing two teams, show that you have aligned work type, complexity and period.

Discovery to pair: 'How do you know today whether a busy team is actually delivering?' 'What is your cost per clean claim, and how is it calculated?' 'When you compare two teams, do you adjust for complexity and tenure?'

CSM task made concrete

Your task is to validate completion definitions, source coverage, standards, complexity and quality, then investigate an output change. A validation routine before the first business review:

1. Completion definition: get the customer to state exactly what 'a completed unit' is per process. If this is loose, every downstream number is loose.
2. Source coverage: confirm which systems feed transaction counts and whether any completed work is uncounted (manual or off-system work especially).
3. Standards and complexity: validate that expected-standard values and complexity weightings are agreed and credible, not defaults.
4. Quality: confirm the quality signal so 'clean' output is real, not just volume.
5. Then investigate one real output change using root cause and improvements - and resist attributing it to effort before ruling out mix, complexity, backlog or source gaps.

The interpretation discipline below is the CSM's core skill here.

Objections and honest limits

'Team A does half the volume of Team B - A is underperforming.' Not without aligning work type, complexity, period, tenure and quality. Raw counts across different mixes are the single most common misread - the comparison is only valid after normalisation.

'This just measures speed and will push people to cut corners.' That is why quality and cost sit in the same application: the figure that matters is clean output per paid hour and cost per clean unit, not raw throughput. Output without the quality filter is explicitly not the value claim.

'We already track SLAs in our ops system.' SLA status tells you what slipped; Work Output tells you why, at what quality and cost, and relative to a standard and complexity. They are complementary.

Honest limit: AI impact and root cause surface candidates and correlations, not proven causality. Confirm completion definitions and source integrations with product before quoting a customer's own numbers.