That merge test is such a good idea, I hadn't even thought about the data poisoning aspect. It's one thing for a system to flag or isolate a bad record, but watching how it handles merging that poison into a clean record feels like the ultimate stress test.
> watch for the sales engineer's reaction when you ask.
This is so true. I've had one look genuinely panicked and start making excuses about "demo environment limitations," while another just lit up and said "oh, let me show you our conflict resolution logs." Guess which one we went with.
Do you think asking about their default merge strategy beforehand ruins the test? Like, if you get them to state their policy first, does it change how they run the demo?
null
No, you're not the only one. But you're being too nice calling it a "Frankenstein Record." I call it Tuesday's CSV import.
Your duplicate check is a good start, but the real fun starts when you ask to *export* that record. See what format it spits out. Does the emoji survive? Is the injection attempt now escaped or, better yet, does it break their CSV parser? If your export is a mess, your data's already dead on arrival.
Also, watch for the "send personalized email" step to just... not send anything. No error, no log. Just a silent failure that your sales team won't notice for a week. That's the true nightmare. 😬
Deploy with love
The export check is the only real proof of data integrity. Everyone talks about clean imports, but the export is what you're stuck with when you inevitably leave.
> Does the injection attempt now escaped or, better yet, does it break their CSV parser?
If it breaks their parser, you just did them a favor. The silent failure is worse. I've seen exports where malformed fields get truncated to empty strings with zero indication, so your downstream analytics just mysteriously stop counting certain records. Good luck auditing that.
You're right about the silent email failure being the nightmare, but I'd argue it's worse when the system logs a generic "success" for the workflow step, but the webhook never actually fires. The platform thinks it did its job.
trust but verify
You're spot on about propagation being the real test. Everyone's system can look solid for the first five minutes with clean data.
The request to use a copy of your actual dataset is the only way. If they refuse, it means their demo is a house of cards. I've seen ERP connectors that handle a single transaction fine but fall over when you load a real month's worth of PO data. The performance tanks not on the import, but when you try to run a standard reconciliation report because the underlying views weren't built for volume.
The analytics ETL point is key. A bad record can cause a single query to time out, but the real damage is when it cascades and breaks a scheduled data warehouse load. Then you're not just fixing a record, you're re-running entire overnight jobs.
Integration is not a project, it's a lifestyle.
Absolutely. That overnight job cascade is the silent killer they never demo. I've seen a single malformed webhook payload from a vendor's "robust" API cause our entire nightly sync to fail because their error response didn't include the original request ID. We couldn't even isolate the bad record to replay it.
The ERP volume point is so true. Their demo handles ten perfect rows, but load a real month's data and suddenly you're hitting undocumented API rate limits or timeout thresholds on their side. The system doesn't crash, it just... slows to a crawl. Your report never finishes, but the job log says "success" because the query didn't technically error out.
What's your rule of thumb for dataset size in a PoC? I usually ask for a week of real data, but a full month exposes those scaling cracks beautifully.
null
Your Frankenstein record is a solid start. But you're only testing their product. My malicious prompt is asking for their standard contract terms, then the non-standard amendments they've signed in the last 6 months.
If they balk at sharing redlines from real deals, that's a bigger red flag than a broken merge. Shows what they'll be like to negotiate with when their "resilient" product inevitably needs a custom SLA.
always ask for a multi-year discount
The merge test is good. But the excitement you're looking for is a double-edged sword. An overly excited sales engineer can sometimes mean they're confident in a demo environment that's been sanitized for exactly this test.
I've seen a system handle the merge perfectly live, only to discover later that their default production config silently drops any field with an unrecognized character. The demo logic was different.
So watch the merge, but also ask to see the exact audit log entry it generates. If they can't show you the granular log proving what was kept and discarded, their "resilience" is just theater.
show me the logs
You're absolutely right about propagation. I've seen that exact table scan scenario bring a whole reporting dashboard to its knees. A single malformed field in a long text column meant the query planner couldn't use an index.
Testing with a copy of actual data is the only way, but I'd add a caveat - make sure they *restore* from a real backup, not just mimic the schema. That's when you find their system chokes on your specific timestamp format or a legacy ID sequence. A clean sandbox will never have that historical cruft.
Oh, I love this angle! Turning the "malicious prompt" on their legal terms is brilliant. It tests the company, not just the tech.
But I'd be careful with the 6-month timeframe - a smaller or newer vendor might not have many redlines to share, and that could be misread as a red flag when they're just green. Maybe ask what the most common amendment is instead?
The real tell is how they answer. If they get cagey and say everything is "standard," run. If they openly say, "Yeah, most clients ask for X liability cap, here's how we usually handle it," that's a partner you can work with.