A free case study generator for B2B marketing and sales teams. Describe the customer, the problem, what you did, and the results (you can attach notes, a call transcript, or a doc), and it writes a structured case study with a results-led headline, the challenge, the solution, specific results, and a suggested pull quote. It uses your real numbers and never invents metrics. Free with no signup.
How to use it
- Describe the customer, the problem, the solution, and the results. Attach notes, a transcript, or a doc for the richest result.
- Press Generate and a structured case study streams in.
- Click Copy, then fill any bracketed placeholders and confirm the quote with your customer.
- Reply in the chat to refine: shorter, more results-led, or written for a different audience.
Example output
Real results from this tool, so you can see what you get before you type anything.
B2B SaaS case study
You typeCustomer: mid-market fintech, 200 employees. Problem: on-call engineers getting 40+ pages a week, two SREs quit. We deployed alert deduplication. Result: pages down to 12/week in 6 weeks, no attrition since, they cancelled a third SRE hire.
You getHEADLINE
How a 200-person fintech cut on-call pages by 70% and cancelled a headcount req
AT A GLANCE
- 40+ pages per week reduced to 12 within 6 weeks
- Zero SRE attrition in the 9 months since
- One planned SRE hire cancelled, roughly $180k saved
THE SITUATION
The platform team at [Company] supported a payments product where downtime carries regulatory consequences, not just revenue loss. Fifteen engineers shared an on-call rotation covering 24/7.
THE PROBLEM
Alert volume had grown faster than the team. Engineers were receiving more than 40 pages a week, and by their own audit, most required no action. The signal had degraded to the point that real incidents competed with noise for attention.
The cost was not just response time. Two SREs left within a quarter, both citing on-call in exit conversations. The team opened a third req and struggled to fill it, because candidates asked about rotation load in first interviews.
WHAT THEY DID
Rather than rewriting alerting rules by hand, a project previously scoped at a full quarter, they deployed deduplication in front of the existing pipeline. Correlated alerts from the same root cause were grouped into a single page. Low-signal alerts were routed to a review queue instead of a phone.
Rollout took two weeks, non-invasively, on top of the monitoring already in place.
RESULTS
Weekly pages fell from more than 40 to 12 within six weeks. Nine months later there has been no further SRE attrition. The third req was cancelled once the existing rotation was sustainable, saving roughly $180k in fully loaded cost.
IN THEIR WORDS
"We thought we had a staffing problem. We had a signal problem."
Service business case study
You typeClient: DTC skincare brand, $3M revenue. Problem: books 4 months behind, couldn't get a line of credit. We cleaned up inventory accounting and got them current. Result: current within 6 weeks, approved for $500k credit line.
You getHEADLINE
How a $3M skincare brand got 4 months behind on books and still closed a $500k credit line
AT A GLANCE
- Books brought current in 6 weeks
- Inventory reclassified correctly across 3 sales channels
- $500k line of credit approved after prior rejection
THE SITUATION
[Brand] had grown to $3M in revenue across Shopify, Amazon, and wholesale in under three years. Bookkeeping had been handled part-time by a generalist since the founding.
THE PROBLEM
The books were four months behind and, more seriously, inventory was being recorded as an expense at purchase rather than capitalized as an asset. On paper the business looked barely profitable.
When the founder applied for a working capital line to fund a production run, the bank declined. The financials could not support the application, and the founder had no way to demonstrate real margin by channel.
WHAT THEY DID
We rebuilt 14 months of inventory accounting, reconciled all three sales channels monthly, and separated COGS from operating expense properly. We produced a channel-level margin report the founder had never had access to.
RESULTS
Books were current within six weeks. Restated financials showed the business was substantially more profitable than previously reported. The founder reapplied and was approved for a $500k line.
IN THEIR WORDS
"We were not unprofitable. We just could not prove otherwise."
The structure that makes case studies persuasive
The arc is situation, problem, action, result, and the proportions matter more than the sections. Most case studies spend 70% of their words on the solution, which is the part the reader cares least about. The problem section is what creates recognition, and recognition is what makes someone keep reading.
Spend real words establishing what the problem cost. Not "they faced challenges with alert volume" but "two SREs quit and candidates were asking about rotation load in first interviews." Consequence is what makes a problem feel real rather than administrative.
The reader is doing one thing throughout: checking whether this company is enough like theirs for the result to transfer. Every specific detail about the situation helps them make that judgment, which is why vagueness is fatal even when it feels safer.
Numbers, and what to do when you do not have them
Quantified results are what separate a case study from a testimonial. "Significantly reduced alert volume" is unverifiable. "From 40+ pages a week to 12 in six weeks" is a claim someone can evaluate.
Include the before number, not just the after. A result without a baseline is not a result, it is a statistic. And include the timeframe, because "70% reduction" over six weeks and over two years describe very different products.
When a client will not share hard numbers, use relative figures ("cut roughly in half"), operational outcomes ("cancelled a planned hire"), or time saved. A specific operational consequence is more persuasive than a vague percentage anyway. What you should not do is invent or round generously, because a prospect who discovers one inflated number discards the entire document.
Common mistakes
Making your company the protagonist. The customer is the protagonist and you are the tool they used. Case studies written as company achievements read as marketing; the same facts written as the customer's story read as evidence.
Skipping the failed alternative. Saying what they tried first and why it did not work makes the eventual solution meaningful. Without it, the reader has no basis for judging whether your approach was actually necessary.
Burying the result. Put the headline outcome at the top in a summary block. Many readers will read only that, and they should still leave with the point.
Quotes that say nothing. "They were great to work with" adds nothing. The quotes worth including are the ones that articulate the realization: "We thought we had a staffing problem. We had a signal problem."
Using this generator well
Give it the messy specifics: what the situation was before, what broke, what the client tried first, what you actually did, and the numbers with a timeframe. The more concrete detail you provide, the less generic the output.
Include a direct quote from the client if you have one, even a rough one from a call. Real customer language is difficult to fabricate convincingly, and it is often the most credible line in the finished piece.
Then get approval before publishing anything with a named client, numbers, or a quote. Beyond the courtesy, clients frequently correct a detail that would have undermined the whole document. Once it exists, make it usable in sales: the sales case study guide covers turning it into something reps actually deploy.
FAQ
How long should a case study be?
Most work at 500 to 1,000 words with a summary block at the top for skimmers. Length matters less than proportion: if the solution section is longer than the problem section, the case study is probably less persuasive than a shorter version would be.
What is the best structure for a case study?
Situation, problem, action, result, with a results summary at the very top. Spend more words than feels natural on the problem and what it cost, because that is the section that creates recognition in a reader deciding whether this applies to them.
What if the client will not share specific numbers?
Use relative figures ("cut roughly in half"), operational outcomes ("cancelled a planned hire"), or time saved. A concrete operational consequence often persuades better than a percentage. Never invent or inflate figures: one discovered exaggeration discredits the whole document.
Do I need client approval to publish a case study?
Yes, for anything naming the client or including their numbers or quotes. Beyond the legal and relationship reasons, review commonly catches a detail the client would dispute, which is far better found before publication than after.
Is this case study generator free?
Yes, it is free and needs no signup.
Will it make up results?
No. It uses the numbers and details you provide and leaves a clear placeholder in brackets when a metric is missing, so you never publish invented data.
Can I turn a call transcript into a case study?
Yes. Attach the transcript or notes as a PDF or document and the tool will build the case study from it.
What structure does it use?
A results-led headline, the customer, the challenge, the solution, specific results, and a suggested pull quote to confirm with the customer.
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