> ## Documentation Index
> Fetch the complete documentation index at: https://conveo.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Insights

> Read Storyline findings, check their evidence, and follow how they change across waves.

A Storyline **insight** brings related evidence into a finding you can investigate. Its history connects the finding across reporting waves, so you can distinguish a new development from a recurring pattern.

Open **Insights**, choose the period you want to examine, and open a finding. Accounts with **Highlights** and **Explore** can also reach insight details from findings shown in those views.

## How insights are generated

Conveo analyzes the wave's data to identify **signals**: patterns in answers, groups, or changes over time. Related evidence is synthesized into insights. Conveo then compares findings with earlier waves to maintain their histories.

An insight can include a summary, supporting signals and participant evidence, and follow-up actions. Availability depends on the data and completed analysis. A missing finding does not prove that an issue is absent from the population.

## Why Storyline insights are different

Lifecycle labels describe how a finding relates to its history:

| Status         | Meaning                               |
| -------------- | ------------------------------------- |
| **Emerging**   | A new finding in the tracked history. |
| **Ongoing**    | The finding continues.                |
| **Escalating** | The finding is becoming stronger.     |
| **Evolving**   | The finding changes in character.     |
| **Reversed**   | The finding changes direction.        |
| **Dormant**    | The finding has gone quiet.           |
| **Ended**      | The tracked finding has ended.        |

Related histories can merge or split. Those relationships are recorded in the history rather than appearing as separate lifecycle labels.

Treat these labels as AI-supported interpretations of the observed evidence. **Ongoing** does not establish a universal truth, and **Ended** does not guarantee that a topic will never recur.

<a id="reading-an-insights-thread" />

## Reading an insight's thread

Open **Insight over time** on an insight to examine how the finding developed. Historical wave views show the finding for that period, which can differ from the current interpretation.

Actions are paused when viewing a historical snapshot. Return to the current finding to create an output or act on a suggested next step.

Compare the period and audience behind each observation. Changes in who participated, the questions asked, or the way answers were coded can affect a trend. The insight board may surface warnings about sample-composition changes or a measurement reset; read those caveats before comparing waves.

## Signals: the evidence underneath

Inspect the supporting signals and participant evidence before relying on a summary. Ask:

* Which answers or groups support the finding?
* How much data is available, and is a subgroup small?
* Does the evidence describe a relationship, or support the stronger conclusion being proposed?
* Could changed recruitment or measurement explain the difference?

AI-generated explanations can be incomplete or mistaken. Participant quotes help establish what someone said; they do not by themselves establish how common a view is. Use the [dashboard](/docs/storylines/dashboard-and-metrics) to inspect counts and coverage, and [Talk to your data](/docs/interview-data/talk-to-your-data) for follow-up analysis.

## Organize recurring interests

Use [insight themes](/docs/storylines/insight-themes) to save a topic and find its matching insights across chapters. Themes classify findings; they are separate from filtering the participant population.

## Suggested next steps

Current insight details offer **Create report**, **Create slide deck**, and an action to include the insight in the next chapter report. Creating a report or deck opens a Talk to your Data conversation with a prepared request; review the generated output before sharing it.

Additional suggestions may ask a follow-up question or add a measure to the dashboard. Suggestions depend on the finding and may be absent. Flagging an insight for the next report does not rewrite an already generated report.

See [Reports](/docs/insights-and-reports/reports) and [Slides](/docs/insights-and-reports/slides) for working with those outputs.
