Getting Started

ESPN Survey Tool

Your AI-powered tool for generating research surveys, built on Burke methodology and ESPN's historical question catalog. Here's how to use it — and how to flag anything that doesn't work the way you'd expect.

1

Create Your Account

Go to espn-survey-app-dev.azurewebsites.net and click "Register". Enter your name, email, and a password of your choice.

Access Code: jacksCode2026
You'll need this one-time code to create your account. It's single-use, so once you've registered you won't need it again.

Important: Please use a personal email address for now — not your Walt Disney / ESPN corporate email. SSO integration with Disney's identity provider is still being implemented, and using a corporate email now may cause conflicts when SSO goes live.
2

Start a New Conversation

Click "Start New Conversation" to begin. Each conversation is a workspace for one survey project -- you can come back to it anytime from the sidebar.

3

Fill Out the Survey Generation Form

You'll see a form with three fields. Fill in your research parameters and the AI will handle the rest.

Project Objectives -- What are you trying to learn? Be specific about the research goals.
Audience Specifications -- Who should be surveyed? Demographics, segments, behaviors.
Number of Questions -- How many questions (1-30)? The AI will structure the survey accordingly.
"Understand how predictive gaming (Pick'em, Streak, etc.) drives engagement with live ESPN broadcasts among 18-34 sports bettors. Focus on cross-platform behavior, frequency of play, and whether predictive games influence viewing habits."
4

Watch It Generate in Real Time

Hit "Generate Survey" and the AI streams the survey to your screen live. You'll see a progress indicator showing what the system is doing behind the scenes -- retrieving relevant methodology, analyzing your inputs, and building the survey.

What's happening: The AI draws from Burke research methodology and ESPN's standard survey components (including the Fandom Scale) to build a properly structured research instrument tailored to your objectives.
5

Review and Refine via Chat

Once the survey is generated, a chat input appears below it. You can have a conversation with the AI to refine the survey -- add questions, remove sections, change wording, adjust the audience focus, or ask for explanations about why certain questions were included.

"Can you reorder the core questions as a funnel -- start broad with sports engagement, then narrow to predictive gaming, then ESPN-specific predictive products?"
6

Export Your Survey

When you're happy with the output, you have two options:

Copy to Clipboard -- Click the "Copy" button to copy the full survey text. Paste into Qualtrics or any other platform.

Export to Word -- Click "Export .docx" to download a professionally formatted Word document with ESPN branding, section headers, and programming labels ready for your team to review.
7

Edit Individual Questions

Need to tweak just one or two words in a question? Click directly on any question in the generated survey to edit it in place -- no need to retype the whole thing or regenerate the entire survey. Your edits are saved automatically.

Tip: Use inline editing for small wording changes. Use the chat for bigger structural changes like adding sections or reordering questions.

Your Action Items — Addressed

Since the April 9 demo, we've shipped everything you raised. You'll see all of it live in the tool:

Screener disqualifiers come first

Industry/conflict questions now lead the screener so unqualified respondents drop out before panel spend is burned.

Done

Funnel-based question ordering

Core questions flow as a series of funnels — wide, narrow, restart — matching how your team builds surveys.

Done

Realistic duration estimates

Grids, open-ends, and yes/no questions are weighted differently so timing reflects the actual respondent burden.

Done

More hardcoded standards

League/sport interest fandom scale, brand affinity scale, and Pay TV / media ecosystem batteries are now always-asked-the-same-way.

Done

Non-rejector logic

When audience specs call for "non-rejectors of ESPN," the brand affinity scale is auto-added as a screener to filter out dislike/strongly dislike responses.

Done

Smarter allocation when constrained

Short surveys prioritize core objective questions over demographics and attitudinal batteries — the hose turns down without losing the signal.

Done

No duplicate screener/demographic questions

Age, gender, or race captured in the screener are no longer re-asked in the demographics section.

Done

When Something Doesn't Work

You're the primary user of this tool. If something breaks, behaves unexpectedly, or just doesn't meet your expectations, we want to hear it all — that's how we make the next version better.

A

Keep a running doc

Create a Word doc and jot down issues as you hit them. No need to send each one separately — just send the doc to us right before or during our next checkpoint.

B

For each issue, note three things

What you were doing — the objectives, audience, length, or chat prompt you were working with.
What you expected — what the tool should have done.
What actually happened — the output, error, or missing behavior. A screenshot is helpful but not required.
C

We'll regroup in about a week and a half

Use the tool for real work in the meantime — the more you actually lean on it, the better the feedback. We'll walk through your notes together, prioritize, and keep iterating.