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@ACharbonneau ACharbonneau commented Apr 9, 2026

Everyone keeps telling me I need to try AI sincerely. So here we are. I asked chatGPT to assess the documentation homepage and tell me how it would improve it for low and no code users.

I looked through your homepage, and the core issue isn’t that it’s bad—it’s that it reads like documentation when it needs to act like a landing page that converts confused visitors into confident users.

Right now, it’s informative, but it doesn’t guide. Below is a focused breakdown of what would make it significantly more effective.


🔍 What your homepage does well (keep this)

  • Clear statement of purpose: CDA helps search harmonized cancer data (cda.readthedocs.io)

  • Multiple entry points (no-code, low-code, API)

  • Strong technical depth for motivated users

👉 The problem: this clarity is buried instead of surfaced.


🚨 The biggest problems (and how to fix them)

1. Your hero section is too vague

Current message:

“Re-Search made simple”

That’s catchy, but not specific enough for first-time users.

Fix: Make the value concrete in 5 seconds

Rewrite the top section to answer:

  • What is this?

  • Who is it for?

  • What can I do right now?

Example rewrite:

Search cancer datasets across NCI data commons in one place
Find subjects, files, and studies using simple terms—no coding required.

Then add one primary CTA:

  • “Start searching data”

  • “Try interactive search”

👉 Right now, users have to figure out where to go. That’s friction.


2. You’re mixing audiences without guiding them

You currently have:

  • “Don’t code?”

  • “Power users”

  • “Developers”

That’s good—but it’s buried and not visually decisive.

Fix: Turn this into a clear decision section

Use a 3-card layout immediately under the hero:

I want to… | Action -- | -- Explore data (no code) | Open interactive search Run queries (low code) | Launch notebook Build tools (API) | View API docs

👉 This aligns with your real strengths: multiple access paths (cda.readthedocs.io)


3. No visual proof of what the tool actually does

You describe:

  • interactive search

  • harmonized data

  • filtering

But you don’t show it clearly up front.

Fix: Add a visual demo section

Include:

  • Screenshot or GIF of the interactive table

  • Example query → result

Why this matters:

  • Your tool is conceptually complex (“harmonized metadata across repositories” (cda.readthedocs.io))

  • A visual instantly reduces cognitive load


4. The “why CDA” value is buried

Your strongest differentiator is:

  • Cross-repository harmonization

  • Unified search across CRDC datasets (Cancer.gov)

But that’s hidden in text blocks.

Fix: Add a “Why CDA?” section

Make this scannable:

Why use CDA?

  • 🔗 Search across multiple cancer data commons at once

  • 🧠 Harmonized terms (no need to learn each dataset’s schema)

  • ⚡ Export results directly to pipelines or cloud platforms

  • 🧪 Works for no-code → advanced workflows

👉 This is your competitive edge—highlight it early.


5. Weak call-to-action structure

You have CTAs like:

  • “Launch CDA in the cloud”

  • “Try it out”

  • “API documentation”

But they’re scattered and not prioritized.

Fix: Use a CTA hierarchy

  • Primary (top): Start searching

  • Secondary: Try notebook / interactive page

  • Tertiary: API docs

👉 A homepage should feel like a funnel, not a menu.


6. It feels like documentation, not a product

The page is structured like:

  • Feature descriptions

  • Technical notes

  • Links

But users need:

  • Orientation

  • Confidence

  • Momentum

Fix: Add a simple narrative flow

Structure it like this:

  1. Hero: What + why

  2. Quick start (choose your path)

  3. Visual demo

  4. Key benefits

  5. Deeper links (docs, API, etc.)


7. Missing “quick win” onboarding

You do have an interactive search page, but it’s not framed as:

👉 “Try this in 10 seconds”

Fix: Add a “Start here” example

For example:

Try this: Find all adenocarcinoma subjects across datasets
→ [Open pre-filled search]

This leverages what you already built:


🧠 Strategic insight (this matters most)

Your tool solves a hard problem:

finding and unifying cancer datasets across multiple systems

But your homepage assumes users already understand:

  • what harmonization means

  • why cross-dataset search is hard

  • why CDA is valuable

👉 Most users don’t.

So your homepage needs to shift from:

“Here’s what CDA does”

to:

“Here’s the problem you have—and how CDA instantly solves it”


✨ If you only change 3 things

  1. Replace the hero with a clear, specific value proposition

  2. Add a 3-path “choose your workflow” section

  3. Show a visual example of the tool in action

That alone would dramatically improve usability and adoption.


If you want, I can rewrite your homepage top-to-bottom (copy + layout) tailored specifically for researchers vs. data scientists—that would get you much closer to a “this is obviously useful” experience within seconds.

I looked through your homepage, and the core issue isn’t that it’s *bad*—it’s that it reads like documentation when it needs to act like a **landing page that converts confused visitors into confident users**.

Right now, it’s informative, but it doesn’t guide. Below is a focused breakdown of what would make it significantly more effective.


🔍 What your homepage does well (keep this)

  • Clear statement of purpose: CDA helps search harmonized cancer data ([cda.readthedocs.io]1)
  • Multiple entry points (no-code, low-code, API)
  • Strong technical depth for motivated users

👉 The problem: this clarity is buried instead of surfaced.


🚨 The biggest problems (and how to fix them)

1. Your hero section is too vague

Current message:

“Re-Search made simple”

That’s catchy, but not specific enough for first-time users.

Fix: Make the value concrete in 5 seconds

Rewrite the top section to answer:

  • What is this?
  • Who is it for?
  • What can I do right now?

Example rewrite:

Search cancer datasets across NCI data commons in one place
Find subjects, files, and studies using simple terms—no coding required.

Then add one primary CTA:

  • “Start searching data”
  • “Try interactive search”

👉 Right now, users have to figure out where to go. That’s friction.


2. You’re mixing audiences without guiding them

You currently have:

  • “Don’t code?”
  • “Power users”
  • “Developers”

That’s good—but it’s buried and not visually decisive.

Fix: Turn this into a clear decision section

Use a 3-card layout immediately under the hero:

I want to… Action
Explore data (no code) Open interactive search
Run queries (low code) Launch notebook
Build tools (API) View API docs

👉 This aligns with your real strengths: multiple access paths ([cda.readthedocs.io]1)


3. No visual proof of what the tool actually does

You describe:

  • interactive search
  • harmonized data
  • filtering

But you don’t show it clearly up front.

Fix: Add a visual demo section

Include:

  • Screenshot or GIF of the interactive table
  • Example query → result

Why this matters:

  • Your tool is conceptually complex (“harmonized metadata across repositories” ([cda.readthedocs.io]2))
  • A visual instantly reduces cognitive load

4. The “why CDA” value is buried

Your strongest differentiator is:

  • Cross-repository harmonization
  • Unified search across CRDC datasets ([Cancer.gov]3)

But that’s hidden in text blocks.

Fix: Add a “Why CDA?” section

Make this scannable:

Why use CDA?

  • 🔗 Search across multiple cancer data commons at once
  • 🧠 Harmonized terms (no need to learn each dataset’s schema)
  • ⚡ Export results directly to pipelines or cloud platforms
  • 🧪 Works for no-code → advanced workflows

👉 This is your competitive edge—highlight it early.


5. Weak call-to-action structure

You have CTAs like:

  • “Launch CDA in the cloud”
  • “Try it out”
  • “API documentation”

But they’re scattered and not prioritized.

Fix: Use a CTA hierarchy

  • Primary (top): Start searching
  • Secondary: Try notebook / interactive page
  • Tertiary: API docs

👉 A homepage should feel like a funnel, not a menu.


6. It feels like documentation, not a product

The page is structured like:

  • Feature descriptions
  • Technical notes
  • Links

But users need:

  • Orientation
  • Confidence
  • Momentum

Fix: Add a simple narrative flow

Structure it like this:

  1. Hero: What + why
  2. Quick start (choose your path)
  3. Visual demo
  4. Key benefits
  5. Deeper links (docs, API, etc.)

7. Missing “quick win” onboarding

You do have an interactive search page, but it’s not framed as:

👉 “Try this in 10 seconds”

Fix: Add a “Start here” example

For example:

Try this: Find all adenocarcinoma subjects across datasets
→ [Open pre-filled search]

This leverages what you already built:


🧠 Strategic insight (this matters most)

Your tool solves a hard problem:

finding and unifying cancer datasets across multiple systems

But your homepage assumes users already understand:

  • what harmonization means
  • why cross-dataset search is hard
  • why CDA is valuable

👉 Most users don’t.

So your homepage needs to shift from:

“Here’s what CDA does”

to:

“Here’s the problem you have—and how CDA instantly solves it”


✨ If you only change 3 things

  1. Replace the hero with a clear, specific value proposition
  2. Add a 3-path “choose your workflow” section
  3. Show a visual example of the tool in action

That alone would dramatically improve usability and adoption.


If you want, I can rewrite your homepage top-to-bottom (copy + layout) tailored specifically for researchers vs. data scientists—that would get you much closer to a “this is obviously useful” experience within seconds.

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@ACharbonneau
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ACharbonneau commented Apr 10, 2026

Perfect—here’s your homepage rewritten specifically for Read the Docs using Markdown, structured so it will render cleanly and guide users effectively.

This assumes you’re using standard RTD Markdown (or MyST). If you're using reStructuredText instead, I can convert it.


🧬 index.md (CDA Homepage for RTD)

# Search cancer data across multiple NCI data commons—instantly

Cancer data is distributed across multiple systems—CDA brings it together.

Find subjects, files, and studies using harmonized terms across repositories. No coding required.

<div style="margin-top: 1em; margin-bottom: 2em;">
  <a href="interactive.html"><strong>👉 Start exploring data</strong></a><br>
  <a href="interactive.html">Try interactive search</a> ·
  <a href="api.html">View API docs</a>
</div>

---

## 🔎 Find what you need—your way

### 🔍 Explore (No coding)
Search and filter cancer datasets in a visual interface  
👉 [Open interactive search](interactive.html)

---

### 📓 Analyze (Low code)
Run queries and explore results in a ready-to-use notebook  
👉 [Launch notebook in the cloud](notebooks.html)

---

### ⚙️ Build (API)
Integrate CDA into pipelines and applications  
👉 [View API documentation](api.html)

---

## 🖥️ See it in action

Search across datasets with one query:

- Filter by disease type, demographics, or study  
- View harmonized results across repositories  
- Export data for downstream analysis  

👉 **Try a sample search:**  
[Find adenocarcinoma subjects across datasets](interactive.html)

---

## 💡 Why use CDA?

CDA removes the hardest parts of finding cancer data:

- 🔗 **Search multiple data commons at once**  
  No need to query each repository separately  

- 🧠 **Harmonized data model**  
  Use consistent terms across datasets  

-**From exploration to analysis quickly**  
  Move from search → notebook → pipeline  

- 🧪 **Flexible for all users**  
  Works for researchers, analysts, and developers  

---

## 🧭 What you can find

Use CDA to discover:

- Subjects across studies  
- Clinical and genomic data files  
- Metadata across CRDC repositories  
- Cohorts matching specific criteria  

---

## 🚀 Start in 10 seconds

Not sure where to begin?

👉 [Open interactive search with a pre-built example](interactive.html)  
Explore adenocarcinoma datasets across repositories.

---

## 📚 Learn more

- [About CDA](about_us.html)  
- [Data model](data_model.html)  
- [Tutorials](tutorials.html)  
- [API reference](api.html)

---

## 🔬 Developed by

The National Cancer Institute’s Cancer Research Data Commons (CRDC)

🔧 Notes for RTD (important)

1. Link paths

Adjust these if your structure differs:

  • interactive.html
  • api.html
  • notebooks.html
  • about_us.html
  • data_model.html

2. Button styling (optional but nice)

RTD Markdown doesn’t support real buttons by default, but if you’re using custom CSS, you can turn links into buttons.

If not, the bold CTA + spacing already improves usability a lot.


3. If you’re using MyST (recommended)

You can upgrade the CTA area like this:

```{admonition} 
:class: important

👉 **[Start exploring data](interactive.html)**  
Try interactive search or view the API docs.

---

### 4. Keep it above the fold
Make sure this file is your `index.md` so it replaces the current landing page—not buried under docs.

---

# ✨ If you want next

I can also:
- Convert this into **reStructuredText (RST)** if your build needs it  
- Add a **GIF/screenshot section with proper RTD formatting**  
- Help you **wire a pre-filled search link** (that’s a huge UX win)

Just tell me 👍

@ACharbonneau
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Our API just had an update so that get_subject_data can take a search_list parameter that doesn't need to be mapped to anything. https://cda.readthedocs.io/en/latest/documentation/developers/ Does that change your answer at all?

Short answer: yes—this changes things a lot (in a very good way).

It basically removes the hardest part I warned you about earlier.


🚀 What changed (and why it matters)

Before:

  • CDA required structured filters like
    diagnosis = *adenocarcinoma* ([Cancer Data Aggregator]1)
  • You had to map user input → fields → operators

Now (with search_list):

You can pass raw search terms directly

👉 That means you can finally build something much closer to:

“Google-style keyword search over CDA”


🧠 Updated architecture (much simpler now)

User types: "lung cancer"
        ↓
search_list = ["lung cancer"]
        ↓
get_subject_data(search_list=...)
        ↓
Results

No mapping layer required 🎉


🔥 What this unlocks for your homepage

You can now build a true single search box that:

  • Accepts natural language
  • Works immediately
  • Doesn’t require domain knowledge
  • Feels like Google (within reason)

👉 This is a huge UX upgrade for CDA


🥇 Best implementation (what I recommend now)

Option A: Lightweight frontend → API call

If your API allows browser requests:

<input id="searchBox" placeholder="Search cancer data (e.g. lung cancer)" />
<button onclick="searchCDA()">Search</button>

<pre id="results"></pre>

<script>
async function searchCDA() {
  const query = document.getElementById("searchBox").value;

  const response = await fetch("https://cda.datacommons.cancer.gov/api/v1/subjects", {
    method: "POST",
    headers: {
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      search_list: [query]
    })
  });

  const data = await response.json();
  document.getElementById("results").textContent =
    JSON.stringify(data, null, 2);
}
</script>

Option B (BEST UX): Search → redirect to results page

Instead of dumping JSON, redirect users into your existing UI:

<input id="cda-search" placeholder="Search cancer data..." />

<script>
document.getElementById("cda-search").addEventListener("keypress", function(e) {
  if (e.key === "Enter") {
    const query = e.target.value.trim();

    const url = `/en/latest/interactive.html?search=${encodeURIComponent(query)}`;

    window.location.href = url;
  }
});
</script>

👉 Then update your interactive page to:

  • Read search param
  • Pass it into search_list

⚠️ Important caveat (still matters)

Even with search_list, CDA is still:

“a really, really enormous spreadsheet” that you filter ([Cancer Data Aggregator]2)

So:

1. Results may be broad/noisy

  • “cancer” → huge result set
  • “lung” → may hit multiple fields

2. You still may want light enhancements later:

  • Autocomplete (suggest terms)
  • Result summaries (counts)
  • “Did you mean” suggestions

But now those are enhancements, not blockers.


✨ What I would ship (your ideal homepage UX)

At the top:

Search across cancer datasets
Try: lung cancer, adenocarcinoma, RNA-seq

[ search box ]


On submit:

👉 Redirect to interactive page
👉 Pre-load results using search_list


Bonus (high impact):

Show quick links under the box:

  • 🔎 Lung cancer
  • 🔎 Breast cancer
  • 🔎 Glioblastoma

(each just triggers the same mechanism)


🧭 Strategic takeaway

Before:

You were building a translator (hard problem)

Now:

You’re building a search interface (much easier, much better UX)


👍 If you want next

I can help you take this further:

  • Wire the interactive page to accept search_list from URL
  • Add autocomplete using real CDA terms
  • Design a clean Google-style UI (centered, minimal, polished)

That last step would make your homepage feel dramatically more modern.

@ACharbonneau
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render of Option A: Lightweight frontend → API call is at https://cda--160.org.readthedocs.build/en/160/interactive/google.html

but doesn't seem to give me back a JSON

@tanner-coon-bh help please

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@check-spelling-bot Report

🔴 Please review

See the 📂 files view, the 📜action log, 👼 SARIF report, or 📝 job summary for details.

Unrecognized words (12)
aacr
ACharbonneau
adeno
autoplay
Bingxing
dfs
ETL
Huo
lowcode
MFko
mgoa
youtube
These words are not needed and should be removed usecase

To accept these unrecognized words as correct and remove the previously acknowledged and now absent words, you could run the following commands

... in a clone of the git@github.com:CancerDataAggregator/CDA-HelpDesk.git repository
on the gpt branch (ℹ️ how do I use this?):

curl -s -S -L 'https://raw.githubusercontent.com/check-spelling/check-spelling/main/apply.pl' |
perl - 'https://github.com/CancerDataAggregator/CDA-HelpDesk/actions/runs/24261941044/attempts/1' &&
git commit -m 'Update check-spelling metadata'

OR

To have the bot accept them for you, comment in the PR quoting the following line:
@check-spelling-bot apply updates.

Available 📚 dictionaries could cover words (expected and unrecognized) not in the 📘 dictionary

This includes both expected items (22) from .github/actions/spelling/expect.txt and unrecognized words (12)

Dictionary Entries Covers Uniquely
cspell:typescript/dict/typescript.txt 1098 1 1

Consider adding them (in .github/workflows/spellcheck.yml) in jobs:/spelling: for uses: check-spelling/check-spelling@main in its with to extra_dictionaries:

            cspell:typescript/dict/typescript.txt

To stop checking additional dictionaries, add (in .github/workflows/spellcheck.yml) for uses: check-spelling/check-spelling@main in its with:

check_extra_dictionaries: ""
Errors ❌ (1)

See the 📂 files view, the 📜action log, 👼 SARIF report, or 📝 job summary for details.

❌ Errors Count
❌ check-file-path 2

See ❌ Event descriptions for more information.

@ACharbonneau
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Perfect—since you own the API, this is a quick fix on the server side.


🧠 What you need to do

Your API must include this header in responses:

Access-Control-Allow-Origin: https://cda--160.org.readthedocs.build

Or (simplest while developing):

Access-Control-Allow-Origin: *

👉 This tells the browser:

“It’s safe for this frontend to read my responses.”


⚠️ But your error mentions preflight

This part is important:

Response to preflight request doesn't pass access control check

That means your API must also handle OPTIONS requests (not just GET/POST).


🥇 Recommended fix (Flask example)

If your API uses Python + Flask:

from flask import Flask
from flask_cors import CORS

app = Flask(__name__)

CORS(app, resources={r"/*": {"origins": "*"}})

👉 That’s it. It automatically:

  • Adds Access-Control-Allow-Origin
  • Handles preflight (OPTIONS)
  • Adds required headers

🔒 More secure version (recommended for production)

CORS(app, resources={
    r"/*": {
        "origins": [
            "https://cda--160.org.readthedocs.build",
            "https://cda.readthedocs.io"
        ]
    }
})

🥈 If not using Flask (generic solution)

You must ensure your server responds like this:

For OPTIONS (preflight):

HTTP/1.1 200 OK
Access-Control-Allow-Origin: https://cda--160.org.readthedocs.build
Access-Control-Allow-Methods: GET, POST, OPTIONS
Access-Control-Allow-Headers: Content-Type

For actual response:

Access-Control-Allow-Origin: https://cda--160.org.readthedocs.build

🧪 How to test it

After deploying:

1. Open browser console

2. Run your search again

If fixed:

  • No CORS error
  • You’ll see actual data returned

🚨 Common mistakes (watch for these)

❌ Only adding header to POST responses

→ You must also handle OPTIONS


❌ Using * with credentials

If you ever add auth:

Access-Control-Allow-Credentials: true

Then you cannot use *


❌ Forgetting staging domains

RTD preview builds use:

cda--160.org.readthedocs.build

👉 You may need to allow:

  • production docs
  • preview builds

✨ Best practice for your setup

Since you control both:

Allow:

https://*.readthedocs.io
https://*.readthedocs.build

(Some frameworks support wildcard origins, others require explicit list)


🚀 What happens after this

Once fixed, your homepage search box can:

  • ✅ Call CDA API directly
  • ✅ Use search_list
  • ✅ Show live results
  • ✅ Feel like a real search engine

🧭 Strategic note

This is actually a big milestone:

  • Before → CDA = developer tool
  • After → CDA = discoverable search experience

That’s a major usability leap.


👍 If you want next

I can help you:

  • Build a clean, Google-style search UI (centered, minimal)
  • Add live result previews instead of raw JSON
  • Or design a “results page” that feels like a real product

Just say the word.

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