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During a project kickoff meeting last month, our newest team member asked a question we often hear. She’s a junior developer. Her question was simple: “Why do we always start with technical evaluation? Other teams jump straight into coding!” 💻

It’s certainly a fair question. In today’s fast-paced development world, technical evaluation might seem like a delay. However, it’s actually the key to building successful, scalable projects. 🚀

 

Understanding Technical Evaluation 🧐

Technical evaluation is a crucial assessment process. It happens before, during, or after development. Moreover, it involves several key components:

• Understanding the project’s technical requirements 🔍
• Spotting potential challenges and risks ⚠️
• Choosing the best tools and technologies 🛠️
• Making sure the solution is scalable, reliable, and efficient 📈

This evaluation is essential whether you’re starting fresh or optimizing existing work. Additionally, it helps ensure what we build today can grow with the business. As a result, solutions stay effective long-term. 🔄

 

Why Technical Evaluation Matters 🤔

Let me share two scenarios. These examples show how technical evaluation makes all the difference:

New Projects: Planning for Growth 🔮

Consider building a mobile banking app. Initially, it might only need basic features. For example, checking balances and transferring money.

However, proper technical evaluation helps us anticipate future needs. What if we later want to add loan applications? Furthermore, what about financial advice features? Without planning ahead, the app might require costly rewrites later.

Therefore, by doing technical evaluation upfront, we ensure smart architecture. Consequently, the app can easily support new features as the business grows. 🏦

Existing Projects: Solving Root Problems 🔧

Now imagine we’re working on an existing e-commerce platform. It’s been running well. But during peak times, it starts slowing down.

Rather than rushing to patch things, technical evaluation helps us differently. Instead, it helps us identify the core issue. Maybe the database needs optimization. Alternatively, we might need more server resources.

Through this process, we don’t just fix symptoms. On the contrary, we solve problems at their root. As a result, this prevents future breakdowns. 🛒

 

Technical Evaluation Best Practices ✅

Here’s our approach. It works for both new projects and existing optimizations:

1. Understand the Requirements 📋

For new projects: What are the core features? Also, what might be needed later?

For existing projects: What are the current pain points? Similarly, how can we improve performance?

2. Think Ahead 🔎

We ask questions like, “What happens when this scales?” Additionally, we consider, “What if this feature is added later?” This approach makes the project future-proof.

3. Select the Right Technologies 🔧

We don’t just pick the most exciting new tech. Instead, we choose what works best for the project’s needs. This applies both now and in the future.

4. Plan for Scalability 📈

Think about system growth early. Will it need more users? Also, what about new features?

Design for scalability from the start for new projects. Meanwhile, for existing ones, find efficient scaling methods.

5. Identify Risks ⚠️

Server load, security issues, integration challenges—we make sure we’re aware of potential risks upfront. Furthermore, early identification helps us prepare solutions.

6. Create a Roadmap 🗺️

Document everything: technologies, risks, scalability plans, and key milestones.

This roadmap guides development. Moreover, it keeps everyone aligned throughout the process.

 

Real-World Technical Evaluation Success Story 🚀

A recent project showed the power of thorough technical evaluation. The client initially suggested using a payment gateway and cart functionality. They wanted users to buy multiple digital products. However, our evaluation revealed several issues:

Platform Requirements: Both iOS and Android require digital products to be sold via their in-app systems. They don’t allow external payment gateways.

Cart Limitations: In-app purchases treat each product as a separate transaction. Therefore, traditional cart functionality becomes impossible.

Cross-Platform Consistency: Managing transactions across both platforms needed a unified approach.

 

The Solution: Smart Bundles Instead of Carts 🎁

Since cart functionality wasn’t possible, we proposed bundles as an alternative. Users could buy:

• All Subjects Package: Includes every subject or course.

• Custom Package: Offers a group of carefully chosen subjects or content.

• Each bundle was processed as a separate in-app purchase. This approach followed platform policies. At the same time, it gave users flexibility to buy multiple items together.

 

The Results

Our technical evaluation helped us achieve several goals:

• Ensure compliance with App Store and Google Play guidelines
• Create bundles that let users buy multiple items at once
• Unify iOS and Android transactions for a consistent user experience

 

Technical Evaluation: Your Project’s Foundation

Technical evaluation isn’t just a step in the process. Rather, it’s the foundation that makes everything else possible. Whether you’re building something new or improving what exists, taking time for proper evaluation saves resources. Specifically, it saves time, money, and headaches later.

The next time someone asks why we don’t just “jump into coding,” you’ll know the answer. Smart projects start with smart planning. 🎯

If you’d like to learn more about how we unified iOS and Android transactions, check out this blog for a deeper dive into the process and challenges we faced!

If you have more ideas or thoughts, feel free to leave a comment on my LinkedIn post!

 

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Getting Started with Testing IAP on iOS 🚀

Testing IAP on iOS seems simple until you actually try it. However, if you’re doing it for the first time, things like sandbox accounts, hidden settings, and Apple’s limited documentation can make the process confusing.

Therefore, this guide pulls everything together in one place based on real testing experience so you can get started quickly and avoid common mistakes.

💡 Key Point: Sandbox purchases only work in TestFlight builds — you cannot test sandbox transactions in your live App Store app.

Furthermore, you don’t need to get your IAPs approved to test them in TestFlight — they’ll still work. However, for the same purchases to work in your live App Store app, products must be approved in App Store Connect.

 

What You Need for Testing IAP on iOS ✅

Before we begin, make sure you have the following requirements:

• Access to your app’s build via TestFlight
• In-App Purchases created in App Store Connect
• A test device (iPhone or iPad)
• Additionally, a sandbox tester account (we’ll create this in Step 1)

 

Step 1: Create a Sandbox Tester Account for Testing IAP on iOS 👤

Sandbox testers are fake Apple IDs that simulate purchases without charging real money. Consequently, you’ll use them during IAP testing.

Here’s how to create a sandbox tester:

1. First, go to App Store Connect
2. Next, navigate to: Users and Access → Sandbox Testers
3. Then, click “+” to add a new tester
4. After that, use a real or disposable email that can receive emails
5. Finally, set a password, name, and region

🔔 Apple will send an OTP to that email. Moreover, if you use a fake address that can’t receive emails, you’ll get stuck later when trying to verify.

 

Step 2: Enable Developer Mode for Testing IAP on iOS ⚙️

Developer Mode is required for sandbox testing. Fortunately, enabling it is straightforward.

To enable it:

1. Initially, go to: Settings → Privacy & Security
2. Subsequently, scroll to the bottom and tap Developer Mode
3. Then, toggle it ON
4. As a result, your iPhone will restart
5. Finally, after restart, confirm again by tapping Turn On

Consequently, you’ll see a new section appear: Settings → Developer

❗ If Developer Mode isn’t showing, check the missing developer mode section at the end of this guide.

 

Step 3: Add Sandbox Account🔗

Once Developer Mode is enabled, you need to link your device to the sandbox test environment.

Here’s how to do it:

1. First, go to: Settings → Developer → Sandbox Account
2. Next, sign in with your sandbox Apple ID and password
3. Finally, enter the verification code (OTP) sent to your email

✅ Your iPhone is now ready to test in-app purchases using the sandbox account.

 

Step 4: Download App via TestFlight📲

To begin testing IAP on iOS, you’ll need to complete two important steps:

First – Install the Test Build:

1. Initially, download the TestFlight app from the App Store
2. Subsequently, download your app build from TestFlight

Then – Sign Out of App Store:

1. Navigate to: Settings → Apple ID → Media & Purchases → Sign Out

✅ This ensures that your sandbox account is used for purchases instead of your personal Apple ID.

Note: Signing out of Media & Purchases can remove your access to purchased content in production apps on your device. Therefore, consider using a dedicated testing device when testing IAP on iOS with sandbox controls.

 

Step 5: Make Your First Test Purchase💳

Now you’re ready to test real IAP flows using fake transactions.

1. First, open the app you installed via TestFlight
2. Next, try purchasing a subscription or in-app item
3. As a result, you’ll either:
   • Be prompted to enter your sandbox Apple ID and password
   • Or alternatively, see Face ID confirmation if already signed in

After confirming, your app will receive a sandbox transaction receipt, just like a real purchase — but without any billing.

 

Step 6: Test Subscriptions and Renewals When Testing IAP on iOS 🔄

Apple simulates faster auto-renewal cycles in the sandbox so you can test without waiting days. Consequently, this makes testing much more efficient.

To manage test subscriptions:

1. First, go to: Settings → Developer → Sandbox Account
2. Then, tap your sandbox email
3. Finally, tap Manage to:
   • View active test subscriptions
   • Cancel or let them auto-renew

In sandbox mode:

• A 1-month subscription renews every 5 minutes
• Similarly, a 1-year subscription renews every 30 minutes

Perfect for testing how your app responds to renewals, cancellations, and expirations when testing IAP on iOS.

 

Troubleshooting Developer Mode When Testing IAP on iOS 🔧

If Developer Mode isn’t visible under Settings → Privacy & Security, here’s how to unlock it. Fortunately, there’s an alternative solution.

Use Tenorshare iCareFone

If you don’t have Xcode or a Mac, this is the easiest method — it works even on Windows.

Steps:

1. First, download Tenorshare iCareFone on your PC or Mac
2. Next, connect your iPhone via Lightning to USB
3. In iCareFone:
   • Click the ✏️ edit icon next to Quick Access
   • Subsequently, add Developer Mode tool
4. On your phone:
   • Navigate to Settings → Privacy & Security
   • Scroll down, find Developer Mode, and turn it ON
   • As a result, your iPhone will restart and ask again to Turn On Developer Mode
   • Finally, turn it on

✅ Once enabled, you’ll now see Settings → Developer, and you can add your sandbox account.

For additional information, please refer to: https://www.tenorshare.com/iphone-tips/enable-iphone-developer-mode.html

 

Final Checklist for Testing IAP on iOS ✅

Here’s a quick summary of the steps:

• Create a sandbox tester account
• Enable Developer Mode
•  Add the sandbox account on your iPhone
•  Install your app via TestFlight
•  Sign out of Media & Purchases
•  Make purchases and test renewals with the sandbox environment
•  Use Manage Subscriptions to simulate cancellations

 

Final Thoughts 💭

Testing IAP on iOS can feel confusing — sandbox logins, hidden settings, and lots of little steps. This guide puts everything together in one place to make it easier.

If this guide helped you, or if you’ve found other useful tips, feel free to share them in the comments. Happy testing! 🚀

Also, don’t miss our previous article: Inapp Purchase Subscription: From Chaos to Clarity

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We’ve built our share of complex apps—🛒 e-commerce platforms, 💬 real-time chat systems, 📊 advanced data dashboards. So when our EdTech client asked for subject-based access through inapp purchase subscription, we knew we could deliver.

The idea was straightforward: students could purchase access to specific subjects such as math, science, or history directly within the app.

We set up products in App Store Connect and Google Play Console. Everything was in place. But once we walked through the in-app purchase subscription flow in detail, one thing became clear: this wasn’t just about coding features, it was about making the smartest use of time, budget, and resources.

 

⚠️ The Hidden Complexity of In-App Purchase Subscription

Subscriptions often look simple at first, but reality is very different:

🌍 Two platforms, two worlds – Apple and Google each have their own APIs, lifecycle rules, and event flows. Keeping both in sync is possible, but time-intensive.

💸 Refunds and cancellations – Each store handles them differently, with separate webhooks and event timings. Writing and maintaining custom logic would require constant monitoring.

📊 Analytics demands – Our client wanted real-time clarity on active subscribers, renewals, churn, and revenue. Pulling reliable data from two different async sources meant building a mini data pipeline of its own.

We had the expertise to build all of this from scratch. But doing so would mean diverting weeks of developer time away from what mattered most: innovating on the learning experience.

 

💡 When Inapp Purchase Subscription Made Us Pause

we asked ourselves:

• Do we invest weeks  in custom subscription infrastructure?

• Or do we use a platform built specifically for this challenge, freeing our team to focus on features that matter to students?

Given the timelines, budget, and priorities, the smarter move was obvious.

 

🪄Finding the Right Answer for Inapp Purchase Subscription

That’s when we found RevenueCat—and honestly, it felt like a turning point in the story.

Here’s what it gave us:

🛠️ One system across iOS & Android – no more juggling two separate ecosystems.

🔄 Automatic lifecycle handling – renewals, upgrades, cancellations, and refunds all managed out of the box.

📊 Powerful analytics – instant insights into revenue, churn, and subscriber growth.

⚡ Faster delivery – instead of  weeks of backend plumbing, we shipped subscriptions quickly and focused on student-facing features.

🔒 Future-proofing – as Apple and Google evolve, RevenueCat evolves too.

 

🚀 The Big Win with Inapp Purchase Subscription

The transformation was dramatic.

When we launched, subscriptions just worked. No hidden errors, no mismatched states. The business team finally saw revenue and performance in real time. Developers could go back to creating innovative features for learners.

And the client? Absolutely thrilled. Less stress, more control, and a system built to grow.

 

🎯 What We Learned About Inapp Purchase Subscription

Some problems look simple but hide massive complexity. Subscription management is one of them.

The smartest move we made wasn’t trying to code our way through the mess. It was recognizing the complexity, stepping back, and choosing the right tool.

👉 With RevenueCat, we delivered a reliable, scalable subscription system that powers our client’s EdTech app, while keeping our team focused on creating world-class learning experiences.

Sometimes, the best code is the code you don’t have to write.

👉If your app uses in-app purchases, let’s connect and explore how we can build a smarter, scalable subscription system together

Also, don’t miss our previous article:  AWS Textract OCR for Smarter Salesforce Search

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Every attorney knows the frustration of searching for crucial documents ⚖️. Unfortunately, these documents often get buried in thousands of case files. Traditional Salesforce document search only scratches the surface—limiting results to filenames and basic metadata, while actual content remains invisible. That’s where AWS Textract OCR comes in. By enabling full-content search, it helps law firms unlock information hidden in scanned PDFs, handwritten notes, and court filings. As a result, firms save valuable time and recover lost billable hours daily ⏰.

 

Why Standard Salesforce Document Search Fails Without AWS Textract OCR

Unfortunately, standard Salesforce document search creates significant challenges for legal professionals 🚨. Specifically, the system only searches file names and basic metadata. As a result, scanned depositions remain unsearchable ❌. Similarly, court filings stay invisible. Additionally, handwritten notes cannot be found.

Furthermore, attorneys waste 2-3 hours daily hunting for documents. Meanwhile, critical evidence gets missed due to poor categorization. At the same time, teams constantly switch between multiple search tools. Consequently, this disrupts their workflow completely.

Moreover, the real cost includes several problems 💸. First, lost billable hours pile up. Second, case details get missed. Finally, legal teams feel frustrated. Ultimately, they cannot find what they need when they need it.

 

AWS Textract OCR Transforms How Legal Teams Search Documents in Salesforce

Fortunately, we have built the Google of legal document search 🎯. Indeed, it lives right inside your Salesforce org. Moreover, our advanced Salesforce document search app harnesses the full power of AWS cloud services ⚡. Specifically, we use AWS OpenSearch for lightning-fast indexing. Additionally, we use AWS Textract for industry-leading OCR. As a result, every single document becomes fully searchable by content.

Furthermore, our team specializes in AWS development 🏗️. In particular, we create robust cloud-native solutions. Subsequently, these integrate seamlessly with Salesforce. Most importantly, we chose AWS specifically for its enterprise-grade security. In addition, it offers scalability and advanced AI capabilities.

 

Advanced OCR Features for Salesforce Document Search

Wildcard Search Capabilities 🌟

For example, search “negligen*” and find multiple variations. Specifically, find “negligence,” “negligent,” “negligently” across all case files. Therefore, this feature catches different forms of legal terms perfectly.

Exact Phrase Matching 🎯

Similarly, find “proximate cause” to locate specific documents. As a result, only documents containing this exact legal standard appear. Consequently, this proves essential for finding specific legal concepts and citations.

Boolean Operations 🔗

Meanwhile, search complex queries with precision. For instance, use “medical malpractice AND expert witness NOT settlement” to narrow research. Thus, combine multiple criteria like a legal database.

Proximity Search 📍

Additionally, search “breach w/3 contract” for related terms. In particular, find “material breach of contract” or “breach of the contract.” Therefore, this catches related concepts. Furthermore, words do not need to be adjacent.

Smart Legal Autocomplete 🧠

For example, type “sum…” and get relevant suggestions. Specifically, see “summary judgment,” “summation,” “summons and complaint.” Most importantly, built specifically for legal terminology. Rather than generic business terms.

 

How AWS Textract OCR Revolutionizes Document Processing

Notably, our AWS expertise shines through our OCR implementation ✨. In fact, AWS Textract transforms your document accessibility with unmatched precision. For instance, handwritten deposition notes become searchable text 📄. Similarly, scanned court orders get instantly indexed. Additionally, exhibits become searchable immediately. Furthermore, old case files from paper archives become digitally searchable.

Moreover, we chose AWS Textract for specific reasons. Most importantly, it delivers 99%+ accuracy on legal documents. As a result, this far exceeds other OCR solutions 🤖.

 

Our AWS Cloud Architecture for Enterprise-Grade Performance

AWS S3 Document Storage 🗃️

Military-grade security and unlimited scalability for your legal documents. Our AWS development team configured S3 with advanced encryption and access controls.

AWS Textract OCR Processing 🤖

Industry-leading OCR with 99%+ accuracy on legal documents. We optimized Textract specifically for legal terminology and document formats.

AWS Lambda Serverless Processing ⚙️

Documents process instantly as they upload with zero infrastructure management. Our serverless architecture scales automatically with your firm’s needs.

AWS OpenSearch Intelligence 🔍

Our AWS OpenSearch implementation quickly finds and analyzes information across millions of documents through advanced indexing algorithms we developed.

 

AWS OpenSearch and OCR Integration for Salesforce Document Search

For Your Legal Team: 👥

First, upload documents to Salesforce exactly like before 📁. Next, our app processes them automatically in the background ⚙️. Then, search using natural language or legal terms 🔍. Subsequently, get instant results with direct links to Salesforce records ⚡. Finally, click and view documents without leaving Salesforce 👆.

AWS-Powered Backend Processing:

Initially, documents trigger our custom AWS processing pipeline. Next, AWS Textract extracts text from any file type with precision. Then, content gets indexed through AWS OpenSearch and linked to Salesforce records. Finally, our AWS-native architecture delivers results in familiar Salesforce UI.

 

Real-World OCR Results from Our Textract Salesforce Document Search

Dramatic Time Savings ⚡

As a result, law firms experience 90% reduction in document search time. Additionally, attorneys save 3+ hours per day. Furthermore, cases get prepared 50% faster with comprehensive document review.

Previously Impossible OCR Searches 🎯

For example, twenty years of scanned case files become instantly searchable through AWS Textract OCR. Similarly, handwritten deposition notes become findable with advanced OCR processing. Moreover, expert witness reports become searchable by content through our OCR technology, rather than just filename.

Measurable ROI 📈

Consequently, firms see increased billable hour recovery. In addition, faster client response times improve satisfaction scores. Finally, reduced risk of missing critical case documents.

 

Transform Your Salesforce Document Search with AWS Excellence

Struggling to find documents fast or looking to upgrade your search system? We’ve built a reliable, automated solution that transforms how teams find and use their data.

If you want to simplify your document search and save time, let’s connect. We’re ready to help you get it done. 🤝

 

Share your thoughts on how AWS Textract OCR is transforming Salesforce document search by checking out our latest LinkedIn post.

Also, don’t miss our previous article: Automated APK Builds for Shopify Stores

 

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❌ The Struggle: Overwhelmed by Data Analysis in Excel Files

 Imagine a data analysis company helping businesses track employee engagement. Every year, they get huge Excel files filled with survey data, including demographics, ratings ⭐, and comments 💬 from thousands of employees.

While the data is important, analyzing it is a challenge. The company uses Excel tools—formulas, pivot tables, and charts—to process the data. This takes a lot of time and effort, often taking weeks ⏳ to finish.

Moreover, they couldn’t get an overall view of industry performance, compare data from different years 📆, or analyze long-term trends 📈. Creating industry-wide scores or comparing years in Excel was nearly impossible.

They also needed to hire consultants to analyze open-ended comments, which added cost 💸, complexity, and delays.

Clearly, the system wasn’t working, and something needed to change.

🔄 The Turning Point: Replacing Manual Data Analysis with AI and Automation

Our client came to us for a solution. They needed a way to automate the process, reduce errors, and get real-time insights ⚡. To help them scale, we needed to transform their workflow completely.

So, we built a solution to automate data analysis, making the process faster. This shift turned months of manual work into minutes of automated results ⏱️.

💡 The Solution: Automating Survey Data Import and Analysis

We started by making data import easy. No more copying and pasting data from Excel. We created a simple feature where our client could upload Excel files directly into the system 📂. These files could include survey data, ratings, and employee comments. With just a few clicks, the system automatically processes the data, saving time and avoiding mistakes.

Once the data was in, the magic happened ✨.

📊 Real-Time Data Analysis: From Data to Insights in Seconds

Next, we needed to turn the data into useful insights. In the past, our client manually sifted through graphs and charts. With our system, they could see data in real-time—whether as bar charts, pie charts, or radar charts.

The system didn’t just show isolated data. Now, they could easily see:

• Overall industry performance 🏆: What trends were emerging across companies in the same industry?

• Company-specific performance: How well did each company perform in areas like Leadership, Communication, and Teamwork?

• Year-over-year comparisons 📆: How did a company perform this year versus the last?

• Industry-wide scores: What was the overall performance of companies in a specific industry?

What used to take weeks of manual work now took just minutes.

🤖 AI-Powered Data Analysis for Feedback Summarization

We didn’t stop there. One big challenge was analyzing open-ended comments. Our client had been outsourcing this task for years.

To solve this, we added an AI-powered feedback summarization tool. The system automatically analyzes employee comments and sorts them into positive ✅, neutral 😐, or negative ❌ categories. It also generates actionable recommendations for areas of improvement.

For example, instead of spending days reading comments in Excel, the system automatically summarizes feedback. A single click generates a PDF 📄 report with:

• Sentiment breakdown for each focus area (e.g., Leadership, Communication)

• Key insights from employee comments 💡

• Actionable steps for improvement 🚀

What once took days of work was now done with a single click.

🔐 Secure Sharing and Easy Reporting

After analyzing the data, the next step was sharing the results. In the past, our client emailed large Excel files 📧, leading to confusion and security concerns. To solve this, we built a secure sharing feature that allowed them to generate shareable links 🔗 to reports. These links could be sent directly to clients, with access control to ensure only authorized users could view the data.

🌟 The Results: A Transformed Process

The impact was immediate. Here’s what changed:

• 100% reduction in time spent on manual data processing and report generation

• Complete elimination of human error ✅, ensuring consistency

• AI-driven feedback analysis provided real-time insights ⚡

• Year-over-year and industry-wide comparisons became automatic

• Easy, secure sharing of reports via shareable links 🔗

📝 Key Takeaways from Our Data Analysis Solution

• ⚡ Automation saves time and improves accuracy.

• 🤖 AI-powered feedback analysis transforms how open-ended comments are processed.

• 📊 Real-time analytics allows organizations to make faster, more informed decisions.

• 🏭 Industry-wide comparisons provide actionable benchmarks.

• 🔐 Secure sharing simplifies collaboration and protects sensitive data.

🚀 If your organization is still using Excel for survey data analysis, it’s time to upgrade. Let’s connect and discuss how we can help transform your survey analytics process with AI and automation.

Share your thoughts on how AI and automation are revolutionizing data analysis by checking out our LinkedIn post.

Also, check out our previous post on Why Choose Nest.js & Next.js for SaaS? to learn more about building scalable platforms.