OpenAI 2026 hackathon

SurveyReport AI

From questionnaire and survey data to validated statistics, interactive charts, and a traceable Word report with GPT-5.6.

Solo project by MEGA Officiel · 0 likes · 0 comments

Archive position — measured, not model output

0 likes on Devpost

2,264 of the 7,856 archived projects have more likes, and 5,592 share exactly 0 — so this project's #7,071 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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Likes on Devpost. ▲ marks this project's group.

Show the figures
LikesProjectsShare of archive
05,59271.2%
11,75822.4%
22853.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,856 archived projects, captured when this archive was built.

Executive Summary

What the company appears to be

SurveyReport AI is a desktop application built in Python that guides users through a five-stage workflow from questionnaire design to report generation, integrating local statistical analysis with GPT-5.6 for assistance in planning and interpretation. The tool is described as an evolution of an existing engine called "Mini Stat", which already supported data import, statistics, charts, and Word export.

What changed

The project introduces a new five-stage interface centered on questionnaire-to-report workflow, integrates GPT-5.6 for optional assistance in design, planning, and interpretation, and adds human validation of analysis plans before execution. It also includes clearer separation between local evidence, AI-generated text, and human approval.

Single most important open question

Is there any evidence of real-world usage or adoption beyond the author's own development work?

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What The Product Actually Is

The description states that SurveyReport AI is a desktop application written in Python using CustomTkinter. It orchestrates an existing engine called "Mini Stat" for data import, statistical analysis, visualization, and Word export. The tool supports questionnaire design via KoboToolbox XLSForm, and integrates GPT-5.6 to assist with questionnaires, analysis plans, and interpretations.

It is not evidenced whether this product has been released publicly or used by others beyond the author’s development efforts.

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Positioning & Claim Evolution

The description states that SurveyReport AI aims to streamline survey workflows by combining multiple tools into one understandable process — from study design to traceable report generation. It positions itself as a solution for survey teams who currently use separate tools for each stage.

It also claims that GPT-5.6 is used to assist with reasoning and drafting without inventing or calculating statistics, which are handled locally by Mini Stat.

This is a self-reported positioning claim, not verified traction or customer feedback.

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Target Customer & ICP

The description does not name specific customers or personas. It implies the tool targets survey teams who move between separate tools for questionnaire design, data cleaning, statistical analysis, charts, and report writing.

No evidence of target segments, buyer personas, or market segmentation is provided.

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Business Model & Pricing Evidence

There is no evidence in the description of a business model or pricing structure. The project appears to be a hackathon submission with no indication of monetization or commercial use.

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Technical & Delivery Signals

The application is built using:

  • Python
  • CustomTkinter (GUI framework)
  • Mini Stat engine for local statistical analysis and reporting
  • GPT-5.6 via OpenAI or OpenRouter APIs
  • pandas, matplotlib, python-docx, kobotoolbox-xlsform

It supports:

  • XLSForm export/import
  • CSV/Excel data import
  • Local statistical execution
  • Interactive charts
  • Word report export
  • Human validation of analysis plans

The tool is described as having explicit boundaries between AI assistance and local evidence to prevent silent modification of statistics.

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Traction & Maturity Signals

There is no evidence of revenue, customers, or adoption beyond the author’s own development work. The project was submitted to a hackathon, suggesting it may be in early stages or experimental form.

No data on usage frequency, user retention, or product maturity is available.

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Competitive Context

The description does not mention competitors or direct market comparisons. It implies that current survey workflows involve multiple tools, but does not identify what those tools are or how SurveyReport AI differentiates from them.

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Key Risks & Red Flags

  • The tool appears to be a prototype or early-stage product, submitted to a hackathon.
  • No evidence of real-world usage or customer feedback.
  • GPT-5.6 is used for assistance but not for core statistical calculations — this may limit its utility if users expect AI-generated insights beyond guidance.
  • Lack of transparency around the Mini Stat engine’s prior existence and adoption.
  • No indication of scalability, cloud support, or enterprise features.

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Diligence Questions To Ask The Founders

  1. What is the current status of the Mini Stat engine? Is it used in production?
  2. How many users have tried SurveyReport AI beyond the development team?
  3. Are there any plans to monetize this tool or offer it as a service?
  4. What are the limitations of GPT-5.6 integration, especially regarding interpretation accuracy and consistency?
  5. Has the tool been tested for usability by non-developers?
  6. How is data privacy handled in local processing environments?

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Investment/Partnership Verdict

Not evidenced.

The project is described as a hackathon submission with no evidence of traction, revenue, or customer adoption. It appears to be an experimental tool built around an existing engine and integrated with AI for assistance. There is insufficient information to assess commercial viability or investment potential at this stage.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on DevPost.

The analysis above was generated by a language model from the project's own one-line description. It is not independent research and contains no verified traction, revenue or customer data.