How we decide what's actually worth buying

Most “best of” lists rank products as if everyone wants the same thing. We don't believe that's how buying works. The earbud that's perfect for a frequent traveller obsessed with noise cancellation is the wrong buy for someone who just needs clean call audio while working from home.

So instead of a single star rating, every product is scored from 1 to 10 against the specific ways it will be used — the seven to twelve use-cases that genuinely matter for its category. A laptop is scored on gaming, programming, and college life; an induction cooktop on roti-making, biryani, and dosa; a robot vacuum on pet hair, carpets, and large homes. Across the catalogue that adds up to 93 distinct, individually scored use-cases. A pair of earbuds, for example, carries separate scores like these:

On top of that, many products carry a second layer of scoring for who they suit — students, working professionals, senior citizens, pet owners, first-time buyers — so the match is made to both the task and the person.

The point of showing a low score is as important as showing a high one. A 4 out of 10 for “budget-conscious” tells you plainly: this is excellent, but it is not the value pick. That honesty is the product.

Every product gets a plain-language decision summary — who it's genuinely best for, and just as importantly, who should walk away. We'd rather lose a click than send the wrong person to checkout.

If a product is genuinely a poor fit for most readers, it doesn't get dressed up. It gets a low use-case score and an honest “avoid if.” Our credibility is the only asset that compounds.

Specs tell you what a product is on day one. They don't tell you what it's like to live with for three years. That gap is where most buying regret lives — so it's where we spend our attention.

• Longevity & upkeep — expected lifespan, day-to-day effort, and how much maintenance a product really demands.
• The reality, not the brochure — real battery life with features on, real performance under load, real comfort over long sessions.
• Service in India — whether official support exists and how good the service network actually is where you live, not in theory.
• What owners say — recurring praise and recurring complaints, synthesised from people who've already paid and lived with it.

A recommendation is only as good as the day it was checked. So our data carries its own receipts:

• Every product is dated — each entry records when it was last verified, so you always know how fresh a view you're getting.
• We re-check before we recommend — availability and pricing are confirmed, not assumed.
• We hide the buy button when we should — if a product is unavailable, we suppress its purchase link rather than sending you to a dead end. We don't profit from a click we can't stand behind.

PickRyt earns affiliate commission when you buy through some of our links, at no extra cost to you. That's how independent recommendation work stays free to read.

Here's the line we don't cross: commission never changes a score, a ranking, or a verdict. No brand can pay to rank higher, soften an “avoid if,” or appear on a list it didn't earn its way onto. The scoring is done from the data and owner feedback first; the affiliate link is attached afterwards. If those two ever conflict, the score wins. Full details are on our affiliate disclosure page.

We're honest about today's limits, too. Right now our scores are built from rigorous data analysis and synthesis of real owner feedback — not from us personally lab-testing all 318 products. We're building toward regular hands-on testing, with photos, measurements, and documented failures, and we'll mark clearly which products we've had in our own hands. When we test something ourselves, you'll know. When we haven't yet, we won't pretend otherwise.