Remote Reviewer - ROI Calculator

ROI & Value Calculator

Remote Reviewer replaces costly site visits with video evidence, giving assessors one place to collect, review, and retain records remotely. This calculator estimates the financial return of switching from on-site to remote assessment.

Credible ROI for regulated environments.

This model makes assumptions explicit, separates hard and soft savings, and stages time-to-value so benefits are not overstated.

Use conservative assumptions for defensible planning and governance decisions.

Assumption notice: This calculator starts in a conservative state. Update inputs to reflect your operating context before relying on estimates.

Required input. This materially changes ROI outcomes.

Assessments / Reviews per Month0/mo
Monthly assessment volume used for annualised and phased outputs.
0500
Active reviewers5
Used for capacity impact outputs.
1150
Cost per site visit$0
Average direct travel and site attendance cost.
$0$2,000
% currently requiring travel0%
Pre-platform travel baseline.
0%100%
Hours per review before platform1 hrs
Prep, review, debrief, and documentation effort.
0.5 hrs8 hrs
% of site visits actually replaced0%
Replacement rate, not just reduction.
0%100%
Average assessor hourly cost$85
Fully loaded labour cost.
$40$220
Review time compression factor1.0x
How much efficiency do you expect from Remote Reviewer? Choose a compression factor:
1.0x - no time savings (most conservative)
1.25x - modest gains from async review
1.5x - solid gains from async review + AI assist
1.75x - strong gains, fully optimised workflow
First-pass acceptance rate82%
Higher first-pass rates generally reduce rework cycles.
50%98%
Evidence/process maturityPartially structured
How organised is your current evidence process? The less structured it is today, the more you stand to gain from a structured video-based workflow — this scales the audit prep, rework, and dispute savings accordingly.
One-off implementation effort$0
Applied to months 0-3 to avoid instant full-benefit assumptions.
$0$20,000

Soft savings are estimates for audit prep, moderation rework, and dispute avoidance.

These affect strategic fit only and are kept separate from hard-cash savings.

ROI Outcomes (Annualised)
Estimated annual impact range
Awaiting inputs
Conservative to upside scenario band based on your assumptions (not a confidence interval).
Conservative
-
Expected
-
Upside
-
Estimated net annual impact
Awaiting inputs
Enter assumptions to generate an estimate.
Hard / cash-visible savings
$0
Travel, reviewer time, accommodation proxy, overtime proxy.
Soft / operational savings
$0
Operational risk and efficiency estimates. Optional in total.
Estimated platform cost (annual)
$0
Based on current recommended plan.
Gross annual value before platform cost
$0
- per assessment
Scenario range
Operational Metrics
Site visits avoided per year0
Review hours freed per year0
Assessments per reviewer (current)0
Assessments per reviewer (with assumptions)0
Audit prep days avoided (estimated)0
Rework cycles avoided (estimated)0
Time-to-Value Curve

Benefits are phased. Full productivity is not assumed at month one.

PhaseMonthly netCumulative by phase end
Months 0-3 (implementation/adoption)$0$0
Months 3-6 (break-even window)$0$0
Months 6-12+ (steady state)$0$0

Break-even estimate pending inputs.

Strategic Considerations (Optional)
Use these sliders to capture non-financial priorities. This section is intentionally separate from dollar outputs.

Set strategic inputs to generate a recommendation note.

Geographic ReachAccess to remote learners/sites
Assessment ConsistencyReduced assessor drift
Audit & DefensibilityTraceability and audit readiness
Learner ExperienceSubmission and feedback experience
Data & Future-ProofingPortability and interoperability
Recommended Plan
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Fetching live pricing and limits from plans API.
Recommendation based on assessment volume. Treat this as a starting point.
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Disclaimer: These outputs are conceptual estimates based on selected assumptions. Actual results vary by implementation quality, operating model, and governance context.