eLearning Development Estimator

eLcahillnet / eLearning Development Estimator
๐Ÿ“˜ Guide

01 Project & scope

What are you building, and how much finished learning? Seat time is the primary driver of every estimate below.

min
Total finished seat time: โ€”  (โ€” finished hours)
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01b Team capacity for the timeline estimate

hrs
wk

02 Build effort

Complexity sets the development ratio โ€” hours to build one finished hour. The editable starting profiles come from Chapman Alliance's 2010 study; they are reference points, not current universal benchmarks. Calibrate them with your own completed work when possible.

:1
:1
:1
$/hr
Base build (typical profile, before AI & add-ons): โ€”

02b Phase split advanced โ€” where the hours go (ADDIE)

How total effort distributes across phases. AI in the next step is applied to the Design & Development portion.

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%
%
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03 AI-assisted development

Model where AI may help โ€” and include what it costs. The report shows a traditional vs. AI-assisted comparison. Every percentage is an editable scenario assumption, not a benchmark.

Use AI-assisted scenario as headline comparison remains visible either way โ€”
%
AI voiceover / narration replaces studio VO
%
AI-assisted localization machine translation + review
%
$
hrs
Keep it honest: AI drafts fast, but review, QA, and instructional judgment remain. These defaults assume a human still checks everything โ€” adjust to match how your team actually works.

04 Media, localization & extras optional

Costs on top of the base build. Leave at zero if the complexity ratio already covers your media.

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hrs
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hrs
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