Ever had one of those random 3am thoughts that sticks with you all day? Mine hit last Tuesday while I was reorganizing my recipe binder: a shark would not be a good index. I know, it sounds unhinged. But the more I sat with it, the more it made sense — and the more it started to explain why so many of the indexes we actually use, digital or physical, end up failing us Surprisingly effective..
I’m not talking about shark-themed indexes, by the way. Worth adding: we’d all know that immediately. It would be a disaster. Here's the thing — i mean if you took a literal great white, dumped it in the middle of your library, your website backend, your spreadsheet of client contacts, and told it to organize information for quick lookup? Real talk: we don’t apply that same logic to the indexes we build for real, which is why half the search bars on small business sites are useless, and why I still can’t find the recipe for lemon bars in my own binder And that's really what it comes down to..
What Is "A Shark Would Not Be A Good Index"?
It’s a thought experiment, plain and simple. No marine biology papers involved, no actual sharks harmed in the making of this article. The core idea is: take the standard definition of an index, swap it with a literal shark, and see where the whole system falls apart.
This is where a lot of people lose the thread.
The Bare-Bones Index Definition
An index is just a shortcut. That’s it. It’s a tool that lets you skip scanning every single page of a 500-page novel, every row of a 10,000-entry spreadsheet, every file in a cluttered Google Drive to find the one specific thing you’re looking for. It’s a map, not the territory. A good index points you exactly where you need to go, no detours, no guesswork And that's really what it comes down to..
The Shark Factor
A shark, for context, is a 5-to-15-foot predatory fish that lives in salt water, has no opposable thumbs, can’t read, swims an average of 35 miles per hour, and prioritizes eating seals over organizing information. If you put one in the middle of your local library and tell it to act as the card catalog? It’s going to eat the librarians, not help you find the new Stephen King novel. That’s the gap the phrase highlights: the massive, obvious mismatch between what an index needs to be, and what a shark is. Turns out, the gap between the two is way bigger than you’d think.
Why It Matters / Why People Care
You might be thinking: this is stupid. That’s a bad index. Ever typed a specific product name into a small business website’s search bar, only to get results for completely unrelated items? In real terms, ever spent 20 minutes digging through a messy recipe binder for a cookie recipe you know you saved? Day to day, real talk: bad indexes cost us way more than we realize. In real terms, ever given up on a help desk article because the search function returned 500 results, none of which answered your question? That’s a bad index. And why am I reading 1000 words about sharks and indexes? Bad index again It's one of those things that adds up..
When indexes work, we don’t notice them. Worth adding: for regular people, that means wasted Saturday afternoons. Which means for small businesses, that means lost sales. The shark thought experiment just makes it obvious: if a shark would be worse at the job than what you have now, your index is already failing. You flip to the "desserts" tab in your binder, there’s the lemon bar recipe. Consider this: that’s the goal. In real terms, you type "shipping policy" into a site, it pops up first. When they don’t, we get frustrated, we waste time, we leave. You just might not have noticed yet Not complicated — just consistent..
How It Works
What Actually Makes A Good Index
Let’s break down the non-negotiable traits of a functional index, no jargon attached. First: predictability. You need to know exactly where to look, every time. If your index moves around randomly, it’s useless. Second: accuracy. The index has to point you to the right thing, not a random close-enough match. Third: speed. You shouldn’t have to wait 10 minutes for a search result, or flip through 20 pages of tags to find what you need. Fourth: low maintenance. A good index doesn’t need constant babysitting, feeding, or water changes. It just works.
Why Sharks Fail Every Single Test
The short version is: a shark can’t do any of that. Let’s run a shark through those traits. Predictability? Sharks swim. They don’t stay in one place. If your index is a shark, you never know where it’s going to be when you need it. Accuracy? Sharks can’t read. They can’t tell the difference between a recipe for lemon bars and a recipe for cement. They don’t care. Speed? Sure, sharks are fast swimmers, but they’re not fast at retrieving information. They can’t point you to page 42. They can only bite you. Low maintenance? Absolutely not. Sharks need salt water, food, specific temperatures. They die if you leave them in a library for a week. They’re the opposite of low maintenance.
The Shark Test For Your Own Indexes
Here’s a trick I use whenever I’m building an index, whether it’s for a client’s website or my own photo folder system. I call it the Shark Test. Ask yourself: would a shark be better at this job than the index I’m building? If the answer is yes, you’re doing something very wrong. If the answer is no, but a shark would be about as good? Your index still needs work. A shark is the lowest bar possible. If your index can’t clear that, it’s not an index — it’s a waste of time.
Common Mistakes / What Most People Get Wrong
Most people overcomplicate indexes. That’s over-indexing. On top of that, here's what most people miss: it doesn’t. Also, it’s like giving a shark 500 different fish to track instead of 5. I see this all the time with small business websites: they’ll have 15 different tags for "shoes" — "footwear", "sneakers", "athletic shoes", "running shoes", "men’s sneakers" — and then wonder why users can’t find anything. They think more tags, more categories, more subcategories mean a better index. It gets overwhelmed, and it fails.
The other big mistake is under-indexing. In practice, using "Misc" as a category, or only having 3 tags for a 100-page document. That’s just as bad. It’s like giving a shark an empty pool and telling it to find a fish. There’s nothing to work with. Another common miss: using internal jargon instead of plain language. Worth adding: if your website’s search index uses internal SKU numbers instead of product names, your users don’t care about those numbers. They’re looking for "blue sneakers", not "SKU-7892". That’s like teaching a shark to recognize a specific seal’s scent, but then wondering why it doesn’t react when a completely different seal swims by.
Practical Tips / What Actually Works
Skip the fancy tools. Practically speaking, you don’t need a $500 indexing software to build a functional index. Here's the thing — use plain language tags that your users actually use. Consider this: not 10 different dessert subcategories. For a recipe binder, that’s "breakfast", "lunch", "dinner", "desserts", "drinks". Keep it simple. Plus, start with broad, distinct categories. If you run a hardware store website, index products by "paint", "tools", "lawn care" — not internal industry terms only your staff know.
Test your index with someone who’s never seen it before. Update your index regularly. If they can’t find it in 30 seconds, your index is broken. Same with a website: ask a family member to find your return policy using the search bar. That’s the one area where you have a massive advantage over a shark. A shark doesn’t update its own knowledge base — but you can. If they get 10 irrelevant results, fix it. Hand your binder to a friend, ask them to find the pancake recipe. Add new content as you go, remove old content that’s no longer relevant. Use it.
This is the bit that actually matters in practice Small thing, real impact..
FAQ
Q: Is this article actually about marine biology? A: Not even a little. The shark is just a silly metaphor to explain how index design works. No sharks were consulted in the writing of this post Nothing fancy..
Q: What’s the single most important trait of a good index? And a: Predictability. If users don’t know where to look to find what they need, the rest of the index doesn’t matter.
Q: How do I fix a bad index I already built? A: Start by auditing what your users are actually searching for. Match your tags and categories to those terms, remove irrelevant categories, and test it with a real person.
Q: Can a shark be a good index for anything? Still, a: Maybe if you’re trying to index the population of seals in a specific ocean area? But even then, the shark would eat the seals you’re trying to count. So no.
Next time you’re staring at a search bar that won’t give you the right results, or digging through a messy folder system for a file you saved last week, remember: a shark would not be a good index. It’s a ridiculous reminder, but it cuts through all the overcomplication. Good indexes don’t have to be fancy, or expensive, or packed with features. Now, they just have to do the one job they’re built for: get you to the information you need, fast. If a shark can’t do that, your index shouldn’t either.
