A few months ago, I realized that my website no longer represented my professional style. It had a childish design that felt out of touch with the image I wanted to convey. I knew I needed a fresh, modern look that reflected my evolving style, but I wanted to do it with minimal coding.

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While I was exploring productivity tools, I came across **Notion** and quickly saw its potential beyond just managing tasks. Some users were even leveraging Notion as a **Content Management System** (CMS) for their websites, through tools like Super.so. Though Super was useful, I felt it didn’t offer the flexibility I needed.

So, I decided to take things into my own hands by building a more dynamic solution that fully integrates Notion with my website. This blog post will walk you through how I did it, from setting up the database in Notion to fetching content through the Notion API and displaying it on my site.

## Step 1: Deciding on the Fields

Before diving into the integration, the first step was designing how I wanted to structure my website’s content in Notion. I created a Notion Database with all the essential fields I needed, such as:

- Title: The name of each blog post.
- Slug: A URL-friendly version of the title.
- Content: The main body of the blog post.
- Tags: Categories to group content.
- Published: A checkbox to indicate whether the post should be live.
- Image: A link to the post’s featured image.
- Date: The date the post was published.

## Step 2: Connecting Notion's API

To pull content from my Notion database and display it on the site, I integrated 

This blog post describes the process of identifying and analyzing user issues by analyzing Instagram comments for the M10 Digital Wallet app.

Redesigning My Website with Notion as a CMS

In today's digital age, understanding user feedback is critical to the continued development of any app. We analyzed Instagram comments for the M10 Digital Wallet app and identified user issues. Using the power of machine learning and generative artificial intelligence, we transformed raw data into useful results and visualized them with attractive and informative graphs.

##A Few Words About the Data
Each row of the dataset represents an Instagram comment. The dataset consists of 3 columns: timestamp, text, and pain_type. The dataset contains 800+ rows.
The values of the pain_type column are categorized as follows:

- None
- Security concerns
- User experience issues
- Regulatory compliance
- Technical glitches
- Transaction delays
- Cost of services
- Limited functionality
- Customer support issues
- Integration challenges
- Data privacy concerns
- Cashback problems
- Transparency concerns
- Lemon and others

##Analysis of User Reviews

I used a racing bar chart to visualize the data, which allows us to see which issues the user reviews complain about the most. The graph below shows the issues that users complain about the most in their reviews. The racing bar chart also shows the dynamic change of data over time, making it convenient for our analysis.

<iframe src="/m10-user-pain-type.html" width="120%" height="600" allowfullscreen="true" style="border: 0px;"></iframe>

##Results

The results from this analysis can be summarized as follows:

- The most complained about issues in the M10 Digital Wallet application are "technical glitches" and "user experience issues". These indicate that users are experiencing problems with the application.
- Additionally, issues such as "security concerns" and "data privacy concerns" are also prominent. From time to time, issues like phishing or informal sharing of data worry users.



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