Does the report include charts and data visualizations?

The short answer: not by default. Reports are written narratives — findings, recommendations, persona cards, and conversation transcripts. The data is qualitative, not statistical, so traditional charts (bar charts of percentages, pie charts of distributions) don't fit.

If you need visual artifacts for a presentation, you can extract them from the report or ask AI to draft them.

What's actually in a report

The default report format is prose. You'll find:

Findings as labeled bullet points — "Risk: users won't try the product at the moment they need it"
Persona cards as text blocks — short profile + 1–2 standout quotes per persona
Recommendations as numbered lists — with priority and rationale
Transcripts as conversation blocks — Q&A formatted
Cross-persona comparison as tables — sometimes, for side-by-side persona views

No pie charts of age distribution. No bar charts of acceptance rates. No heat maps. The output is designed to read like an analyst wrote it, not like a dashboard.

This is intentional: the research is qualitative. Showing a bar chart of "60% of users like it" based on 5 personas would imply statistical precision that doesn't exist.

When you want charts anyway

Three situations call for visualizations:

You're presenting to executives. Slides with text-only bullet points don't land. You need a chart that summarizes the persona segments, the priority matrix, or the recommendation timeline.

You're comparing two studies. Side-by-side: study 1 had 3 personas who loved packaging X, study 2 had 5 personas who hated it. A small chart makes that instant.

You're building a recurring report. Quarterly research on the same product becomes a tracker. Charts show how findings shift over time.

How to get visualizations out of atypica

Option 1 — Ask the report dialog. Open the report, start a chat, and say "turn the pricing acceptance data into a chart description I can paste into a slide." AI will give you structured data or chart-ready content.

Option 2 — Pull quotes and structure yourself. Most "visualizations" in a qualitative report are really structured quotes or comparisons. You can format them as a comparison table, a quote card, or a 2x2 matrix in PowerPoint/Keynote in 5 minutes.

Option 3 — Ask Plan Mode next time. When you set up a study, you can say "include a 2x2 matrix of persona acceptance × price sensitivity in the report." Plan Mode can request AI to include structured comparison artifacts.

Option 4 — Export to PDF and reformat. PDF exports preserve the layout. You can copy sections into a slide template.

There is no built-in chart generator, and there's no current plan to ship one — the qualitative nature of the data makes standard chart types misleading.

Why charts would actually be misleading here

A pie chart of "user types" implies the percentages are reliable. With 5–10 personas, "40% of users" really means "2 out of 5." That's not a percentage that justifies a pie slice.

A bar chart of "acceptance rates" implies a sample size large enough to compute a rate. The same applies.

A trend line implies time-series data. atypica studies are point-in-time, not longitudinal.

When you see "60% like this" in a chart based on 6 personas, your eye says "this is a fact about most users." Your head should say "this is 4 out of 6 people who happened to be in this study."

If a stakeholder asks for "the chart," explain this. Or build the chart but annotate it: "based on n=6 personas, directional only."

What kind of "visualization" actually fits the data

For qualitative research, the visuals that work are usually:

Comparison tables. Persona A vs Persona B on the dimensions you care about. Rows are dimensions (price acceptance, scenario fit, key concern), columns are personas.

Quote walls. 3–5 standout quotes pulled from the transcripts, formatted as standalone visual elements. Good for slides.

2x2 matrices. Plot personas on two axes — e.g. "price sensitivity" × "health consciousness." Shows segmentation visually.

Recommendation priority grids. X = effort, Y = impact. Plot each recommendation as a dot. Useful for planning.

Verbatim excerpts. Pulled-out quotes with persona attribution, formatted as standalone cards.

These aren't "charts" in the data viz sense. They're structured displays of qualitative material. But they read as visual on a slide.

A real example of pulling visualizations out

Suppose your report says:

"Price-sensitive personas (Linda, Sarah) reject ¥18. Quality-first personas (Emma, Mia) accept ¥20. Social early-adopter (Chloe) doesn't care about price."

In a slide, you'd build a 3-column table:

	Linda (price-sensitive)	Emma (quality-first)	Chloe (social)
¥15	accepts	accepts	accepts
¥18	too expensive	accepts	accepts
¥20	rejects	accepts	accepts

That's a "chart" of pricing acceptance by persona segment, in 30 seconds of slide-building. It's accurate (each cell is a real response, not a derived percentage), and it tells the story.

If you need statistical visualization

atypica is not the right tool for that. Statistical charts need:

Large samples (100+ respondents)
Quantitative responses (numeric ratings, yes/no)
Population-representative selection

atypica has none of these. For statistical charts, use a survey tool: Typeform, SurveyMonkey, Wenjuan, or a custom panel. The two tools complement each other:

atypica for "why" — small qualitative interviews, written report
Survey tool for "how many" — large quantitative survey, charts and percentages

A common workflow is to run atypica first to understand the dimensions, then design a survey around those dimensions to get statistical confirmation.

What's available right now

Written report (always included)
PDF export of the report
Online report view with highlights
Shareable link to the report

What's not available now:

Built-in chart generation
Statistical visualizations
Interactive dashboards
Comparison views between multiple studies (in development)

Related: Plan Mode, Interview, Discussion