# Fixing an Issue in Produ... ! [ rw-book-cover] (https://pbs.twimg.com/profile_images/1742277779561787392/d56gIHZR.jpg) URL: https://twitter.com/aakashg0/status/1868063372958151061 Author: @aakashg0 on Twitter  ## AI-Generated Summary None ## Highlights > Fixing an issue in production costs 100x more than addressing it during the design phase. > Here's why it matters: >  ([View Tweet](https://twitter.com/aakashg0/status/1868063372958151061)) > Let me tell you a quick story. > Last year, I advised a fintech startup that learned this the hard way. > A small payment glitch affected just 0.1% of transactions. > No big deal, right? But those users? ([View Tweet](https://twitter.com/aakashg0/status/1868063374384242976)) > They went straight to social media. > Negative reviews piled up, and their reputation took a hit. > The result? A 15% drop in new user signups within a month. ([View Tweet](https://twitter.com/aakashg0/status/1868063375306936717)) > 𝗢𝗡𝗘 - 𝗧𝗵𝗲 𝗧𝗿𝘂𝗲 𝗖𝗼𝘀𝘁 𝗼𝗳 𝗙𝗶𝘅𝗶𝗻𝗴 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 > Fixing a bug becomes exponentially more expensive the later you catch it: > → Design Phase: Spend $200 now to prevent issues later. > → Development Phase: Miss it here, and costs jump to $1,000. ([View Tweet](https://twitter.com/aakashg0/status/1868063376200380435)) > → QA Phase: By this stage, you’re looking at $2,000. > → Production Phase: Emergency fixes, customer support, and reputation damage can hit $20,000+ (or worse). > Every missed step in the earlier stages is compounding interest you’ll pay later. ([View Tweet](https://twitter.com/aakashg0/status/1868063377173434676)) > 𝗧𝗪𝗢 - 𝗧𝗵𝗲 𝗛𝗶𝗱𝗱𝗲𝗻 𝗖𝗼𝘀𝘁: 𝗟𝗼𝘀𝘁 𝗨𝘀𝗲𝗿 𝗧𝗿𝘂𝘀𝘁 > The real damage isn’t just financial. > It’s how quickly one issue snowballs: ([View Tweet](https://twitter.com/aakashg0/status/1868063378121298315)) > → Day 0: 1% of users face a glitch, and support tickets flood in. > → Day 1: Social media catches wind, and customer satisfaction drops by 5%. > → Day 7: Engagement falls by 15%, and negative reviews surface. > → Day 30: Acquisition drops 20%, and CAC rises by 25%. ([View Tweet](https://twitter.com/aakashg0/status/1868063379006308485)) > Metrics across the board take a hit: > → -15% user retention. > → -20% customer satisfaction. > → -25% slower development velocity. > → -30% team productivity. ([View Tweet](https://twitter.com/aakashg0/status/1868063379933253845)) > This is all to say... > Most problems can’t be fixed by just fighting fires faster. > They’re solved by building smarter systems that prevent them from happening in the first place. > Take the time in the design and development phases to address issues before they snowball. ([View Tweet](https://twitter.com/aakashg0/status/1868063380889637160)) > Check out the deep dive here: https://t.co/DRkCxMNYRW ([View Tweet](https://twitter.com/aakashg0/status/1868063381904630242)) > This is brought to you by [LogRocket](https://twitter.com/LogRocket). > From Session Replay to see exactly where things go wrong, to Product Analytics that uncover trends, it covers it all. > Check it out: > https://t.co/TakoPzmJ5c ([View Tweet](https://twitter.com/aakashg0/status/1868063382839992742))