You got the win. The automation works, the ops team loves it, the error rate fell off a cliff. Now you need phase two funded, and the person holding the budget is a CFO who has seen four hundred slide decks promising savings and is immune to all of them. What do you hand her?
Not a success story. A case study with numbers she can check. This post is a software ROI case study template you can fill in this week, the same structure I've watched get phase twos approved at companies where the default answer to everything is no.
The template is five sections: baseline, intervention, measured result, honest cost, and the ask. Measure the same thing the same way before and after, state the full cost including your own hours, and make one specific request. That structure survives scrutiny because every number in it has a source.
Let's go section by section.
Why Most Internal Case Studies Die
Read a typical internal success write-up and you'll find adjectives where the numbers should be. "Dramatically faster." "Huge time savings." "The team is thrilled." A CFO reads that and hears: nobody measured anything. The document gets filed under marketing, and marketing doesn't get budget.
The second killer is the missing baseline. Teams start measuring after the project ships, then discover they have nothing to compare against. Saying "we now process invoices in six hours a week" is a fact. Saying "we went from thirty-one hours to six" is an argument. Only the argument gets funded. If your project is mid-flight right now and you haven't captured the before picture, stop reading and go capture it. I'll wait.
Cherry-picking is the third killer. Measuring labor savings but ignoring the error rate that got worse, or quoting the best week instead of a typical one. Finance people are professionally suspicious, and one caught cherry-pick poisons every number you've ever reported. This software ROI case study template is built to make cherry-picking impossible, mostly by forcing the before and after into the same yardstick.
The Software ROI Case Study Template, Section by Section
1. Baseline
One paragraph plus one table answering a single question: what the process cost before, measured over a defined window. Four weeks minimum, eight is better. Include the metric (hours per week, error rate, days to close), the source (system logs, timesheets, ticket counts), and the window. If you skipped measuring before the project, reconstruct it from systems: email timestamps, ticket queues, POS exports. Reconstructed baselines are fine if you say they're reconstructed.
2. Intervention
Two or three sentences covering what changed and when it went live. "On March 3, the invoice-matching automation replaced manual matching for all vendors under $10k." Date-stamping matters because it makes the before and after windows unambiguous.
3. Measured result
Same metric, same window, same source as the baseline. This is the section everyone tries to fudge by switching to a more flattering measure. Don't. If the baseline was hours per week from timesheets, the result is hours per week from timesheets. Add secondary metrics below, clearly labeled as secondary.
4. Honest cost
Everything: the FDE or vendor fee, internal hours, tooling, the week of productivity lost to training. If you need a sanity check on what engagements actually run, our breakdown of FDE engagement costs has the ranges. Overstating costs slightly is a credibility investment; understating them is a loan you'll repay with interest when finance audits.
5. The ask
One sentence. "Fund phase two: extend matching to all vendors, $X, expected payback Y weeks based on the phase-one multiple." A case study without an ask is a memoir.
Getting Numbers You Can Defend
Labor hours are the metric everyone attacks, so build them from something boring. My favorite trick: find the process step that generates an artifact, an email, a ticket, a spreadsheet row, and count artifacts. Twenty tickets a week at a measured fifteen minutes each beats "the team estimates about five hours" every single time.
Use four-week windows to smooth out weird weeks. Month-end spikes, vacations, the Tuesday the system went down: a four-week average absorbs them. And report a range when the data is noisy. "Saves 22 to 26 hours a week" sounds more credible than "saves 24 hours a week," because it is.
One more source of defensible framing: costs you're already paying elsewhere. If the new tool replaces three subscriptions, that's not a projection, it's a cancellation. The hidden cost of SaaS sprawl often funds a surprising chunk of the business case by itself.
A Filled-In Example
Composite from a few real engagements, numbers illustrative: a distribution company, 400 invoices a week, manual three-way matching.
Baseline: two AP clerks spending a combined 31 hours a week on matching, measured over six weeks from the ticketing system. Error rate 4.1 mismatches per 100 invoices, caught mostly by vendors calling to complain, which is exactly how you want to not find out. Intervention: automated matching went live April 7 for invoices under $10k. Result: 6 hours a week of exception handling, error rate 0.7 per 100, measured over the following six weeks. Cost: $58k all-in, including 60 internal hours. Ask: $30k to extend to all invoices, payback inside a quarter at the phase-one rate.
That document fits on one page. It got approved in one meeting, because the only debatable word in it was the projection, and the projection was just arithmetic on measured numbers. Slow, manual processes carry an opportunity cost that compounds while you wait, and this format makes that cost visible without a single adjective.
Presenting It Upstairs
One page, one chart, one ask. The chart is the before-and-after bar, nothing clever. Bring the appendix with the raw tables, and rehearse the three "how do you know" questions: how do you know the baseline is right, how do you know the result is caused by the tool, how do you know it lasts. If your template sections are honest, those questions answer themselves.
Timing matters as much as content. Get the case study on the agenda while the win is still the thing people mention in the hallway. A result that is three months old competes with three months of new fires, and old good news is indistinguishable from no news in a budget meeting.
Write the case study the week the result lands, while the numbers are warm. Six months later you'll have a great process and no proof it ever changed anything.