From the model to the muscle memory.
Internal models, recons, reporting workflows. The new joiner doesn't just read about VLOOKUP — they prove they can do it on data that looks like the data they'll see on Monday.
Set an Excel exercise. Trainees download the starter workbook, complete it in Excel, and upload it back. Mltitude grades against the rubric you set — cells, formulas, sheet shape, formatting — and writes the trainee personalised feedback. No backlog. No grading.
| · | Employee | Sales | Bonus |
|---|---|---|---|
| 1 | Employee | Sales | Bonus |
| 2 | Alice | 75,000 | 7,500 |
| 3 | Bob | 42,000 | 0 |
| 4 | Carol | 90,000 | 9,000 |
| 5 | Dan | 56,000 | 5,600 |
Fund-accounting onboarding, from eight weeks to three.
Compliance refresh in an afternoon, not a quarter.
Analyst bootcamp with mastery, not seat-time.
FP&A team upskilling — proven, not promised.
Every submission gets a score and a list of per-check results — what passed, what didn't, and a short narrative for the trainee. Trainers see the same view at the cohort level: who's done, who's stuck, what they're getting wrong.
Run a sample on your own brief→Solid work, Carol. Your IF formula correctly distinguishes who hits the bonus threshold, and your currency formatting is on the money. The one cell that didn't land is D3 — small rounding error in Bob's bonus calculation. Re-check the multiplier (it should be 0.1, not 0.105). The shape of your solution is right; the precision is one tweak away.
Excel is the second job description in finance, operations, analytics, sales-ops, FP&A — anywhere a spreadsheet is real work. L&D teams run training on it constantly. Most of the "did they learn it" measurement is still self-report and a multiple-choice quiz.
Anywhere a spreadsheet does real work, "they completed the training" stops being enough. These are the four programmes XLSim earns its seat on.
Internal models, recons, reporting workflows. The new joiner doesn't just read about VLOOKUP — they prove they can do it on data that looks like the data they'll see on Monday.
The skills you'd want before someone touches the live dashboard. Demonstrated against a workbook, not promised in a self-rating.
Show the work, not just the click-through. The output is a workbook that does what it claims to do, graded automatically and returned with feedback.
Documented competency for the audit, not 'they were marked complete'. XLSim records the attempt, the score, and the per-check trail — exportable when finance auditors come asking.
Two roles. One workflow. The trainer authors and assigns; the trainee attempts and receives feedback. The engine handles the grading and writes the narrative. No spreadsheet inspection, no marking up a workbook by hand.
Pick from the seeded library (Fundamentals, Intermediate, Advanced) or generate a new assignment from a brief. Edit the rubric. Set the passing score.
Pick the trainees — one, a cohort, the whole programme. Idempotent, so you can re-assign without duplicating.
They see only what's assigned. Download the starter, complete in Excel, upload the .xlsx. No XLSim-specific app — they use the tool they already know.
The engine runs the rubric against the workbook — cells, formulas, ranges, sheets, formatting. Each check returns pass/fail with detail.
A short narrative explains what passed and what to revise. Trainer sees the cohort view: scores, attempts, who's stuck where.
A specific cell must equal a specific value.
D6 = 74000A cell must use a specific formula shape.
B7 = SUM(B2:B6)The formula must contain certain function names.
C2 must contain IFAn entire range must contain the right sequence.
B2:B12 = [Jan, Feb, …]A specific sheet (by name) must be present.
A 'Pivot' sheet existsCells must use a specific format — currency, bold, fill, font size.
D2:D12 = currencyComposable. Build a rubric of any size by mixing check types. Grading is deterministic — a model writes the per-check narrative, but the score itself is calculated, not opinion.
Procurement, security, and audit teams ask their own questions too. Those live in the trust center.
Yes — and it's deterministic. The engine runs each rubric check against the workbook (e.g. "D6 must equal 74000", "C2's formula must contain IF"). No model is making the pass/fail call. Where a model is involved is the per-check narrative; the trainer can override any score.
No. They open the assigned assignment in their browser, download the starter .xlsx, complete it in whatever Excel they already have (desktop, online, LibreOffice — anything that produces a valid .xlsx), and upload it back. We meet them in the tool they already know.
Two ways. (i) Pick from the seeded library — Excel Fundamentals, Intermediate, Advanced — and assign as-is. (ii) Generate a new assignment from a brief: describe the exercise in plain English and the system writes the title, instructions, rubric, and starter workbook. Either way, you can edit the rubric before publishing.
Yes, by default. You can also cap attempts per assignment. Every attempt is stored separately with its score, evaluated_at timestamp, and per-check trail — useful for the audit conversation later.
Yes. The starter workbook can be your internal template (we host it; trainees download it). The rubric checks the parts that matter for the exercise — typically not the whole template, just the cells the trainee was supposed to fill.
Every submission — file, attempt number, score, max score, pass/fail, evaluated_at, per-check results, and the rubric used. Org admins can export the workspace audit log as CSV. See /trust for the full posture.
Pick a real Excel skill you're training this quarter. Assign it to one cohort with XLSim. Watch what happens when "did they learn it" stops being a self-report. Then decide whether you'd run every Excel programme this way.