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Pre-built Data Stories

Pre-built Data Stories are still growing and evolving, so stories in your report may look slightly different from the examples below. Have feedback on how we can improve them? Get in touch.

Pre-built Data Stories are ready-made analysis templates built by the Conjointly team for common question types and data checks, ranging from ranking, multiple choice, and Likert-scale questions to conjoint choice patterns, fieldwork, and sample quality.

Some stories are added to your report automatically based on your survey’s questions and set-up. You can add others at any time, and if a story does not apply to your report, the platform tells you why. In stories that compare segments, you can use the dropdown to choose which segments to include.

You can use any story as it is or edit its content, formatting, and calculations to fit your research goals.

Explore each pre-built Data Story below to see when it is added automatically or ready for you to add, and what it covers.

Ranking questions

You can add this story when your report includes a ranking question. It shows the share of respondents who placed each option at each position, with options sorted by average position.

Ranking by segment

You can add this story when your report has a ranking question and at least one segment. It shows how options rank in each selected segment, so you can compare priorities between them.

Ranking questions Data Story showing a shaded table with the share of respondents who placed each option at each rank position, sorted by average position
Ranking by segment Data Story showing each option at its rank for every segment, with bands linking each option across the segments

Multiple choice by segment (bar chart)

You can add this story when your report has a multiple choice or dropdown menu question and at least one segment. It shows the distribution of responses to each question across selected segments, in one combined chart or separate charts.

Multiple choice by segment (dot plot)

You can also add this story to show the distribution of responses across selected segments in a dot plot. Each option gets its own line, with a coloured dot for each segment, so the gaps between them are easy to spot at a glance.

Multiple choice by segment bar chart Data Story comparing selection percentages between segments using horizontal bar charts and a breakdown table
Multiple choice by segment dot plot Data Story comparing selection percentages across age groups using coloured dots along horizontal lines for each option

Likert-scale answers

You can add this story when your report has a Likert-scale question. It shows the distribution of responses to each question across the scale points.

Likert-scale answers by segment

You can add this story when your report has a Likert-scale question and at least one segment. It shows the distribution of responses across selected segments.

Likert-scale answers Data Story showing a bar for each question split into the share of respondents at each point of the scale, from Strongly disagree to Strongly agree
Likert-scale answers by segment Data Story showing 100% stacked bar charts and a breakdown table comparing agreement levels across age groups for a survey question

NPS by segment

You can add this story when your report has an NPS question and at least one segment. It shows each segment’s NPS alongside its split of Detractors, Passives, and Promoters, so you can trace where each score comes from.

Implicit test

This story is added automatically for each implicit test block in your report. It checks responses for speed and attention, scores how well each pairing fits, highlights the associations respondents made fastest, and summarises the results.

NPS by segment Data Story showing a bar for each segment split into Detractors, Passives, and Promoters, with each segment's NPS beside its bar
Implicit test Data Story showing a match heatmap that scores each pairing from does not fit to fits

Segment overview

You can add this story when your report has at least one segment. It lists each segment’s size and margin of error, flags segments that are too small for reliable results, and compares the selected segment with the rest of your respondents.

Sample composition

This story is added automatically when your report includes a gender and age question. It compares the age and gender split of each segment with all responses, and shows the same split as a pyramid for the selected segment.

Segment overview Data Story displaying a Segment sizes table with respondent counts, effective sample sizes, margins of error, and reliability notes for small segments
Sample composition Data Story showing an age and gender pyramid that compares male and female respondent shares across age brackets from 18-24 to 65+

Weighting efficiency

This story is added automatically when your report uses a weighting scheme. It shows how efficient your weighting is for the selected segment, with a weight efficiency score and short verdict for each scheme, a breakdown of its weights, and flags for any extreme weights.

Conjoint choice patterns

This story is added automatically when your report includes a conjoint, MaxDiff, Claims Test, or Product Variant Selector question. It checks for choice shortcuts, such as always picking the option in the same position or deciding on one attribute alone, and shows how long respondents spent on each choice task.

Weighting efficiency Data Story showing a weight efficiency score with its verdict and a table comparing unweighted, target, and weighted shares for each category
Conjoint choice patterns Data Story showing response time per choice task, featuring density plots with an overall median decision time of 4.0 seconds

Response timeline

This story is added automatically to every report. It charts when your responses came in, by date and by time of day, and summarises your fieldwork: how long it ran, the busiest periods, and how many responses came from each participant source.

Response counts

This story is added automatically when your report includes a multiple choice or dropdown menu question. It shows a table for each question, with the number and share of respondents who selected each option, out of those who saw the question.

Response timeline Data Story showing a stacked bar chart of responses per day, with each bar coloured by time of day from night to evening
Response counts Data Story showing a table for a multiple choice question with the number of respondents who selected each option and a bar for the share of those who saw it