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#1

I've been working in tech support for about 8 years now and I've noticed most people struggle with knowing how to get the right help. When you're dealing with computer problems and fixes, what's your go-to strategy?

For example, if you're getting blue screens with error codes like 0x0000007B or 0x0000000A, do you start with online forums, call manufacturer support, or take it to a local shop?

From my experience, a good tech support help session should cost between $50-$150 per hour depending on complexity. Basic software troubleshooting might be around $75, while hardware diagnostics could run $100-$150. What pricing have you all seen for quality tech support?

#2

Great question. I usually recommend starting with manufacturer support if the device is under warranty - that's free tech support help. For out-of-warranty stuff, I check online forums for specific error codes first.

Your pricing is pretty spot on. In my area, basic computer problems and fixes start at $75/hour, but complex issues like data recovery or motherboard diagnostics can hit $150-$200/hour. I've seen some shops charge flat rates too, like $149 for virus removal or $199 for hardware diagnostics with a written report.

#3

I agree with starting online for common issues. For those blue screen codes, Microsoft's documentation is actually pretty good. The 0x0000007B usually points to storage controller issues - often solved with BIOS settings or driver updates.

From a business perspective, we charge $95 for the first hour of remote tech support help, then $75/hour after. In-person rates are $125 first hour, $95 after. Emergency/same-day service adds 50% to those rates. For businesses, we offer monthly plans starting at $199/month for up to 5 hours of support.

#4

I've been in IT for 12 years and my approach has evolved. For personal devices, I always try free resources first - manufacturer forums, Reddit tech communities, and official documentation.

For business clients, we have tiered pricing: Level 1 support (basic troubleshooting) at $85/hour, Level 2 (advanced software/hardware) at $125/hour, and Level 3 (network/enterprise) at $175/hour. Project-based pricing for things like office migrations starts at $2,500.

The key with computer problems and fixes is setting clear expectations about costs upfront. Nothing worse than a $75 estimate turning into a $400 bill.

#5

For Mac users, Apple's support is actually pretty decent if you're under AppleCare. Out of warranty, their flat rate repairs are $379 for logic board issues or $129 for battery replacements on most models.

Third-party Mac repair shops typically charge $99-$149 for diagnostics, then parts plus labor. Labor rates I've seen range from $75-$125/hour. Data recovery on failed Mac SSDs can be $300-$800 depending on the drive encryption status.

I tell clients: if it's software, try free resources first. If it's hardware and out of warranty, get at least two quotes for the repair.

#6

Boot issues are my specialty. For those specific error codes, 0x0000007B often requires changing SATA operation mode in BIOS from RAID/AHCI to IDE/Compatible mode. 0x0000000A is usually driver related.

Our shop charges $89 for boot diagnostics which includes up to 2 hours of work. If we fix it in that time, that's the total cost. If it takes longer, we charge $65/hour after that. Complete OS reinstalls with data backup are $199.

I always recommend checking Windows Event Viewer first - it often gives more detail than the blue screen itself. Free tech support help starts with good information gathering.

#7

I’ve been running a small SaaS tool for about a year and I’m struggling with how to structure my pricing. Right now I just have a single monthly subscription, but I’m seeing very different usage patterns between casual users and a few power users who need way more API calls. I’m worried a simple flat fee is leaving money on the table or pushing away the heavy users, but I don’t know if a tiered model is the right move or if it will just complicate things.

#8

I tried moving from a flat price to tiers last year. We landed on three levels: Starter, Pro, and Scale. The thing that slowed us down was how features and API rate limits moved with each tier. When heavy users hit the Scale cap, they either left or complained loudly and we ended up negotiating custom terms.

#9

I kept the single price and added usage overages after a grace period. The invoices looked simple, but customers hated surprise bills. We saw churn spike right after the first overage month.

#10

We experimented with true usage-based pricing based on API calls per month, plus a small base fee. The metric was messy: some customers ran automated tasks in bursts and blew through limits, others were steady. It felt like we were pricing for edge cases, not typical usage.

#11

I learned that onboarding and visibility mattered as much as price. People who understood their own usage patterns stayed longer; the ones who didn’t understand limits often felt nickel-and-dimed.

#12

I ended up separating pricing into core and add-ons: keep a simple base, then let teams buy more calls or extra features as needed. It reduced friction, though we still argued about where to draw the line.

#13

Would changing pricing actually fix the problem, or is the real issue onboarding reliability or perceived value not matching usage?

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