New · ClockAssist Insights

From written hours to management information

Where does margin leak away, what does a file really cost and where does capacity get stuck? Answers in euros, based on your own measured data.

What it looks like

From measurement to decision

Every analysis explains what's happening, what it costs and what it yields if you tackle it.

Writing behaviour as a quality indicator
How and when hours are written
Business case in euros
This monthThis quarterYTD12 mo Measured data
1.8 days
Avg. time between work and writing
48%
Written the same day
€65,520
Loss from latency
€18,400
Loss from rounding
Anyone who reconstructs the whole week on Friday afternoon rounds down and forgets work. Every day of latency costs part of the hours to be written, that loss is shown above in euros.
Writing behaviour

How long after the work are hours written?

Distribution of all entries

0%15%30%45%60%Same day1 day2 days3–5 days6–10 days> 10 daysSame day · Share of entries: 48%1 day · Share of entries: 14%2 days · Share of entries: 12%3–5 days · Share of entries: 16%6–10 days · Share of entries: 7%> 10 days · Share of entries: 3%
Writing behaviour

Loss per day of latency

Written less than measured, per day of delay

0%4%8%12%16%0 d1 d2 d3 d4 d5 d6 d7 d
  • Under-registration %

Screenshot of the live report, with example data

From the reports

What the charts look like

Live, in development and planned. Scroll sideways for more.

Live Writing behaviour, Workload and Benchmark

Writing behaviour

Entry duration distribution

Minutes per entry, rolling 12 months

0%10%20%30%40%153045607590105120Other15 · Share: 6.2%30 · Share: 23.8%45 · Share: 4.1%60 · Share: 31.4%75 · Share: 1.8%90 · Share: 8.6%105 · Share: 0.9%120 · Share: 11.2%Other · Share: 14.7%
  • Share
  • Expected with natural spread

Entries cluster on round blocks of 30 and 60 minutes, far above what is natural.

Writing behaviour

Share of days with exactly 8.00 hours

Per employee, rolling 12 months

0%25%50%75%100%Mark H.Mark H.: 77%77%Daan K.Daan K.: 59%59%Ruben S.Ruben S.: 41%41%Lisa dV.Lisa dV.: 18%18%Sophie B.Sophie B.: 15%15%Tom V.Tom V.: 12%12%Iris M.Iris M.: 4%4%expected ≤ 20%

Anyone who writes exactly 8 hours every day is registering a norm instead of the work.

Workload

Evening and weekend activity per month

Measured hours outside office hours

0h100h200h300h400h500hoctnovdecjanfebmaraprmayjunjulaugsepoct · Evening (after 18:00): 128hnov · Evening (after 18:00): 142hdec · Evening (after 18:00): 164hjan · Evening (after 18:00): 196hfeb · Evening (after 18:00): 241hmar · Evening (after 18:00): 268hapr · Evening (after 18:00): 224hmay · Evening (after 18:00): 182hjun · Evening (after 18:00): 158hjul · Evening (after 18:00): 132haug · Evening (after 18:00): 124hsep · Evening (after 18:00): 186hoct · Weekend: 42hnov · Weekend: 48hdec · Weekend: 58hjan · Weekend: 72hfeb · Weekend: 96hmar · Weekend: 112hapr · Weekend: 88hmay · Weekend: 62hjun · Weekend: 54hjul · Weekend: 38haug · Weekend: 34hsep · Weekend: 68hoct · Early (before 08:00): 36hnov · Early (before 08:00): 38hdec · Early (before 08:00): 42hjan · Early (before 08:00): 48hfeb · Early (before 08:00): 58hmar · Early (before 08:00): 64hapr · Early (before 08:00): 54hmay · Early (before 08:00): 46hjun · Early (before 08:00): 42hjul · Early (before 08:00): 34haug · Early (before 08:00): 32hsep · Early (before 08:00): 48h
  • Evening (after 18:00)
  • Weekend
  • Early (before 08:00)

In March work outside office hours rises to 444 hours: an early signal of workload.

Workload

Time spent per employee

Share of measured time

0%25%50%75%100%Tom V.Iris M.Lisa dV.Sophie B.Ruben S.Mark H.Daan K.Tom V. · Production: 52%Iris M. · Production: 64%Lisa dV. · Production: 68%Sophie B. · Production: 66%Ruben S. · Production: 71%Mark H. · Production: 69%Daan K. · Production: 58%Tom V. · Internal meetings: 18%Iris M. · Internal meetings: 14%Lisa dV. · Internal meetings: 12%Sophie B. · Internal meetings: 11%Ruben S. · Internal meetings: 13%Mark H. · Internal meetings: 15%Daan K. · Internal meetings: 16%Tom V. · Client contact: 21%Iris M. · Client contact: 11%Lisa dV. · Client contact: 12%Sophie B. · Client contact: 16%Ruben S. · Client contact: 7%Mark H. · Client contact: 6%Daan K. · Client contact: 4%Tom V. · Surrounding time: 6%Iris M. · Surrounding time: 8%Lisa dV. · Surrounding time: 6%Sophie B. · Surrounding time: 5%Ruben S. · Surrounding time: 7%Mark H. · Surrounding time: 8%Daan K. · Surrounding time: 6%Tom V. · Training: 3%Iris M. · Training: 3%Lisa dV. · Training: 2%Sophie B. · Training: 2%Ruben S. · Training: 2%Mark H. · Training: 2%Daan K. · Training: 16%
  • Production
  • Internal meetings
  • Client contact
  • Surrounding time
  • Training

How much time goes to production, meetings and client contact, per employee side by side.

Workload

Risk score per employee

Early warning based on measured patterns

0255075100Lisa dV.Lisa dV.: 7878Mark H.Mark H.: 7474Tom V.Tom V.: 6262Ruben S.Ruben S.: 5858Sophie B.Sophie B.: 3434Daan K.Daan K.: 3131Iris M.Iris M.: 1818alert threshold

Two employees are above the alert threshold, while it does not show in their hours yet.

Writing behaviour

Entries per day of the week

Share of all input

0%10%20%30%40%montuewedthufrisatsunmon · Share of input: 13.4%tue · Share of input: 14.2%wed · Share of input: 12.8%thu · Share of input: 15.6%fri · Share of input: 37.4%sat · Share of input: 3.1%sun · Share of input: 3.5%

Over a third of all hours are entered on Friday: reconstruction after the fact.

Writing behaviour

Entry quality by time of input

Share with full description and tag

0%25%50%75%100%Same day1 day2 days3–5 days6–10 days> 10 days
  • Fully completed

The later it is written, the worse the description: from 91% to 34% complete.

In development Now in development

AI usage

AI usage over time

Thinking time and conversations per month

0h1.5h3h4.5h6h02505007501000aprmayjunjulaugsepoctnovdecjanfebmar
  • Thinking time
  • Conversations

In nine months AI thinking time grew from 22 minutes to over 4.5 hours a month.

AI usage

Thinking time per model tier

How heavily the AI assistant is used

0h3h6h9h12hFastFast: 1.7h1.7hStandardStandard: 10h10hAdvancedAdvanced: 10h10h

Advanced models: 8% of conversations, but 46% of thinking time.

AI usage

Adoption over time

Share of employees using the AI assistant

0%25%50%75%100%aprmayjunjulaugsepoctnovdecjanfebmar
  • Adoption

Within nine months the whole team uses the AI assistant.

AI usage

Thinking time per feature

What the AI assistant is used for

0h1.5h3h4.5h6hAnnual accountsAnnual accounts: 5.2h5.2hClient commsClient comms: 5.2h5.2hSummariesSummaries: 4.5h4.5hTax Q&ATax Q&A: 4.1h4.1hClassifyingClassifying: 1.2h1.2hDeviationsDeviations: 1h1hMinutesMinutes: 0.6h0.6h

Annual-account notes and client communication take the most thinking.

Planned Planned

Leakage

Measured vs. written time per month

With leakage percentage

0h300h600h900h1200h0%4%8%12%16%octnovdecjanfebmaraprmayjunjulaugsepoct · Measured: 651hnov · Measured: 685hdec · Measured: 610hjan · Measured: 778hfeb · Measured: 906hmar · Measured: 1004hapr · Measured: 938hmay · Measured: 806hjun · Measured: 724hjul · Measured: 596haug · Measured: 549hsep · Measured: 768hoct · Written: 596hnov · Written: 625hdec · Written: 553hjan · Written: 694hfeb · Written: 792hmar · Written: 875hapr · Written: 817hmay · Written: 716hjun · Written: 653hjul · Written: 545haug · Written: 502hsep · Written: 672h
  • Measured
  • Written
  • Leakage %

Every month 8 to 13% of measured time disappears before it reaches the invoice.

Capacity

Peak forecast towards deadlines

Hours per week against available capacity

400h700h1000h1300h1600hw1w5w9w11w13w15w19w23w27w31w35w39w43w47w51available capacity
  • Measured 2026
  • Forecast 2027

Around weeks 11 to 15 the workload is structurally above available capacity.

Deadlines

Completed on time per month

Obligations, with percentage on time

025507510060%70%80%90%100%octnovdecjanfebmaraprmayjunjulaugsepoct · On time: 63nov · On time: 67dec · On time: 70jan · On time: 57feb · On time: 61mar · On time: 73apr · On time: 78may · On time: 65jun · On time: 70jul · On time: 68aug · On time: 57sep · On time: 73oct · Late: 9nov · Late: 8dec · Late: 7jan · Late: 13feb · Late: 15mar · Late: 11apr · Late: 8may · Late: 9jun · Late: 7jul · Late: 8aug · Late: 12sep · Late: 9
  • On time
  • Late
  • On time %

In February the share on time drops below 81%, right in the tax-return peak.

Cost price

Annual accounts cost price per industry

Hours per annual account, with index

0h15h30h45h60h507090110130Constr.Transp.Hosp.Install.RetailAgriReal est.CareServicesConstr. · Hours: 52.5hTransp. · Hours: 41hHosp. · Hours: 38hInstall. · Hours: 36.5hRetail · Hours: 34.5hAgri · Hours: 31hReal est. · Hours: 29.5hCare · Hours: 24hServices · Hours: 22.5h
  • Hours
  • Index

Annual accounts in construction take almost 2.5x as many hours as in services.

Process

Review loops per month

Average number of loops per file

11.522.53octnovdecjanfebmaraprmayjunjulaugsepnorm 1.5
  • Compilation
  • Tax

Compilation is above the norm all year; in the peak it rises to 2.8 loops.

Internal time

Meeting hours per month

Internal meetings and client appointments, with share of time worked

0h40h80h120h160h0%3.5%7%10.5%14%octnovdecjanfebmaraprmayjunjulaugsepoct · Internal meetings: 58hnov · Internal meetings: 62hdec · Internal meetings: 66hjan · Internal meetings: 74hfeb · Internal meetings: 92hmar · Internal meetings: 98hapr · Internal meetings: 88hmay · Internal meetings: 72hjun · Internal meetings: 64hjul · Internal meetings: 52haug · Internal meetings: 48hsep · Internal meetings: 68hoct · Client appointments: 34hnov · Client appointments: 36hdec · Client appointments: 38hjan · Client appointments: 42hfeb · Client appointments: 54hmar · Client appointments: 58hapr · Client appointments: 52hmay · Client appointments: 44hjun · Client appointments: 38hjul · Client appointments: 26haug · Client appointments: 24hsep · Client appointments: 42h
  • Internal meetings
  • Client appointments
  • Share of time worked

In the peak months over 11% of time worked goes to meetings.

Portfolio

Unpaid advisory work per client

Advisory hours and the potential fee in thousands of euros

0h7.5h15h22.5h30h0k2k4k6k8kTerpstraVan DijkVosACCBakkerTechniek N.SmitJansenTerpstra · Unpaid advice: 24hVan Dijk · Unpaid advice: 18.5hVos · Unpaid advice: 18hACC · Unpaid advice: 14.5hBakker · Unpaid advice: 12.5hTechniek N. · Unpaid advice: 9.5hSmit · Unpaid advice: 8hJansen · Unpaid advice: 7.5h
  • Unpaid advice
  • Potential fee (k€)

Clients who demonstrably take advice without paying for it: there is demand, but no offer yet.

Example data from the product designs

Benchmark · live

Benchmark: know where your firm stands against the rest

Your measured figures next to an anonymous peer group of similar firms. An own norm says little; a peer median shows whether 28.5 hours for an annual account is a lot or a little.

Opt-in and off by default. Benchmark only takes part if your firm chooses it. Without consent no data is shared and you don't see the comparison. Participation is always anonymous and the data is aggregated: never traceable to a firm, client or employee.
Benchmark Live

Peer group distribution: hours per annual account

Number of firms per band, small business (hours)

03691214–1717–2020–2323–2626–2929–3232–3535+14–17 · Firms: 317–20 · Firms: 720–23 · Firms: 923–26 · Firms: 626–29 · Firms: 529–32 · Firms: 332–35 · Firms: 235+ · Firms: 1peer median 20.4h
  • Peergroep
  • Eigen kantoor: 28,5u (P71)

Your firm sits at P71: 28.5 hours per annual account against a peer median of 20.4 hours.

Benchmark Live

Hours per product against the peer group

Your firm, peer median and top quartile

0h20h40h60h80hAccounts SAccounts MCompil.Corp. taxIncome taxAccounts S · Your firm: 28.5hAccounts M · Your firm: 46hCompil. · Your firm: 68hCorp. tax · Your firm: 9.5hIncome tax · Your firm: 4hAccounts S · Peer median: 20.4hAccounts M · Peer median: 38.2hCompil. · Peer median: 54.6hCorp. tax · Peer median: 7.2hIncome tax · Peer median: 3.4hAccounts S · Top quartile: 16.2hAccounts M · Top quartile: 31.5hCompil. · Top quartile: 44.8hCorp. tax · Top quartile: 5.8hIncome tax · Top quartile: 2.6h
  • Your firm
  • Peer median
  • Top quartile

Compared anonymously with firms of the same size: where does work cost more than at peers?

Benchmark Live

Position over time

Percentile within the peer group per quarter

P0P25P50P75P100Q4 24Q1 25Q2 25Q3 25Q4 25Q1 26Q2 26Q3 26median
  • Hours per annual account
  • Leakage
  • Margin per client

The trend matters more than the position: hours and margin improve, but leakage pulls away from the peer group.

BenchmarkLive

Position on process indicators

Your firm, peer median and top quartile

IndicatorYoursPeerTop 25%
Leakage10.8%7.4%4.1%
Latency work → writing1.8 d1.1 d0.4 d
Review loops per file2.31.81.3
Annual accounts lead time46 d34 d22 d
Completeness score81%87%94%
Margin per client12.3%18.1%26.4%

This shows whether a problem is industry-wide or specific to your firm. Only the second can be solved with your own measures.

Shared anonymously and aggregated only · example data from the product designs

Privacy by design

Insight for the firm, not oversight of the employee

Insights is built to improve a firm, not to hold people to account. The employee stays in control of their own activity.

Consent per employee

Which data sources count is arranged per employee. No consent, no measurement, and that is visible in the report.

Aggregated wherever possible

Firm questions are answered at firm level. Where an analysis looks at people, it's about workload and bottlenecks, not a ranking.

One management report

The outcomes land in one report for management, with the business case attached. You can export it, so you have the conversation with numbers.

Read all about security & privacy →

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