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Score for how task fit automation

Score whether task fit automation from how clear rules be, digitisation, workload and risk — all scoring rules dey visible.

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Result dey update as you type; no Calculate button dey. All calculation dey run inside your browser.

Score for how task fit automation

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Points for clear rules: —Points for workload: —Points wey risk remove: —

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How the result break down

Di itemValue wey e get

Component points show before dem limit the total. Final score na raw total wey dem keep inside 0–100 range.

Quick look at the result

Bars use scale of 40 points so you fit compare components. Workload get cap of 30 points, so that bar no fit reach the top of this scale.

Wetin go move the score?

Case wey you wan compareValue wey e get

Each row change one input for your scenario and leave the others the same. You fit see which improvement matter pass. These na hypothetical scores, no be predictions.

Formula

Score = clamp(4 × rule clarity + 3 × digitisation + min(30, frequency × minutes ÷ 600 × 3) − 2 × risk, 0, 100). All three ratings use 0–10 scale, and dem limit each rating to that range before scoring.

Scoring rules (all the rules)

ComponentRuleMaximum
How clear the rules be4 points for each rating point (0–10)40
How digital the process be3 points for each rating point (0–10)30
WorkloadFrequency × minutes ÷ 600 × 3, with cap of 30 — 600 minutes (10 hours) every month earn 3 points, so 100 hours earn the maximum30
RiskRemove 2 points for each rating point (0–10)−20
TotalAdd am, then keep am inside 0–100100

Verdict bands na 70–100 for strong candidate, 40–69 for review first, and below 40 for weak fit. These bands na this page own interpretation of the score; dem no be validated thresholds.

Example wey show the calculation

Frequency na 80 runs every month, 15 minutes for each run, clear-rules rating 8, digitisation 7, risk 4. Rule points = 4 × 8 = 32. Digitisation points = 3 × 7 = 21. Workload = 80 × 15 ÷ 600 × 3 = 6, below cap of 30. Risk deduction = 2 × 4 = 8. Total = 32 + 21 + 6 − 8 = 51 out of 100 — mixed case inside 40–69 review band. Monthly time for the task na 80 × 15 = 1,200 minutes (20 hours).

Where e fit work and limits

Na custom weighted checklist be this; e no be validated scientific score or prediction that automation go succeed. Weights (4, 3, workload cap 30, risk 2) and bands 70/40 na choices for this page. If you change dem, score go change. E no assess implementation cost, exception rates, data quality, change management or regulatory limits. High score still need pilot; low score fit still deserve automation for compliance or coverage reasons.

Version of di formula: c87c033dec4b · Example don get check:

Questions wey people dey ask often

How dem dey calculate the score?

Rule clarity times 4, plus digitisation times 3, plus volume points (frequency times minutes divided by 600, times 3, with 30 as di highest), minus risk times 2; keep di total between 0 and 100. Di complete rule table dey for Formula section.

Wetin these score bands mean?

70–100 na strong candidate, 40–69 na review first, below 40 na weak fit. Na this page own bands dem take read the score, no be externally validated thresholds.

Why workload get cap of 30?

So sheer volume no fit outweigh unclear rules or undigitised inputs. Task wey dem dey run constantly but wey judgement calls dey govern suppose no outscore clear, digitised, lower-volume task by volume alone.

Why risk fit remove only up to 20 points?

Because risk na one factor among four, no be veto. High-risk task still fit score for review band if everything strong — but na exactly that time human-in-the-loop design, instead of full automation, suppose come to mind.

How I fit rate clear rules and digitisation honestly?

Rule clarity 10 mean say decision steps dey written down and two people go reach same outcome; digitisation 10 mean say inputs and outputs already structured data. If any one need judgement or paper handling, rate am lower and note why.

High score guarantee say I go save money?

No. E mean say task look automatable, no be say project go pay off. Cost, exception handling, and maintenance still need their own estimate before you commit.

Other tools wey relate to dis

Results na estimates; dem no replace advice from qualified professional.