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Reveal delivers higher quality insights.

We ran the same research through Reveal and other popular tools. Then, we asked ChatGPT to compare the outputs-without knowing which tool produced which result. It was a blind taste test for qualitative research and Reveal naturally came out on top.

Coverage
P1
P2
P3
Analytical Depth
P1
P2
P3
Voice of the Participant
P1
P2
P3
Usefulness for In-depth Research
P1
P2
P3
Novel Insights
P1
P2
P3
P1, P2, P3 are other popular products

Background

Study about COVID-19

This research was conducted to understand how healthcare workers experienced and responded to the dynamic nature of the COVID-19 pandemic. The study focused on exploring topics such as evolving workplace protocols (including PPE usage), emotional and psychological impacts, communication issues, and the influence of misinformation and structural shortcomings. Data was gathered from a diverse group of healthcare professionals, offering insights into both frontline experiences and broader organizational responses.

You can access the transcript files here. We welcome you conduct your own assessment.

Comparing Different Products: A Blind Test

  • We uploaded transcripts from the same set of interviews into Reveal and two other comparable products. Then, we posed the same research questions to each platform to evaluate how effectively they generated insights.
We asked a neutral party-ChatGPT-to review the outputs from all three products. The product names (including Reveal) were removed, and the order was randomized to ensure objectivity.

Real Examples from All Products

Product 1

Repetition Across Research Questions

In this tool, each column corresponds to a different research question. However, the AI-generated answers has a lot of repeating phrases, themes regardless of the question asked.

Output of Product 1 (Repetition Across Research Questions)

Product 2

Limited Depth & Inaccurate Attribution

This AI-generated output gives a shallow summary of emotional experiences—missing nuance and depth. It also falsely refers to "some participants” when only one was interviewed, showcasing a lack of understanding.

Output of Product 2 (Limited Depth & Inaccurate Attribution)

Product 3

Moderator Prompt Mistaken as Participant Insight

the AI tool misidentifies the moderator’s question as a participant insight—displaying the moderator’s words as if they were part of the respondent's answer. This is a fundamental inaccuracy in the synthesis.

Output of Product 3 (Moderator Prompt Mistaken as Participant Insight)

Reveal

Capturing Relevant, Nuanced Details

Reveal deeply understood each research question’s intent, delivering distinct, emotionally rich, and context-specific insights. Instead of generic summaries, Reveal’s output captures psychological nuance, narrative flow, and clear actions—directly tied to participants’ actual words.

Output of Reveal (Repetition Across Research Questions)
Effective research synthesis requires a clear understanding of each question’s intent and the ability to capture nuanced, emotionally rich insights. The best outputs go beyond generic summaries by reflecting participants’ actual words and preserving narrative flow, which brings depth and context to the findings.
Reveal takes this approach by delivering clear, context-aware insights that are both distinct and actionable. This helps ensure research findings are meaningful and accurately represent participants’ experiences, supporting better decision-making.
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