---
title: What is an Insight Hub?
category: Guides
slug: insight-hub
blurb: Learn what an Insight Hub is, how it differs from a static deck or PDF, and where to start building and sharing one in AddMaple.
order: 2
---

# What is an Insight Hub?

In AddMaple, an **Insight Hub** is an interactive way to share research results. You build it as a **Story Dashboard**, publish it to a link, and clients or stakeholders can revisit it after the presentation is over.

This guide explains the idea in plain language. For step-by-step build and share instructions, use the links in [Build and share an Insight Hub](#build-and-share-an-insight-hub) below.

## Static deck vs living Insight Hub

Many teams still deliver a **static deck or PDF** after a study. That works for one readout, but the file often sits unused afterward. Different stakeholders usually have different follow-up questions, and every new cut can mean more analyst time.

An **Insight Hub** keeps the research useful after delivery. Stakeholders can:

- Open a polished, branded story (pages, charts, text, and callouts)
- Revisit findings on their own schedule
- Filter or explore selected data (when you enable explorable data)
- Ask follow-up questions with AI (when explorable data is enabled on the hub)

You do not have to choose between a deck and a hub. Many teams deliver **both**: a PowerPoint for the boardroom meeting and a hub for everything after. See [Export charts to PowerPoint](/help/guides/powerpoint-export) and [Share with clients](/help/guides/share-with-clients).

## What clients experience

A published Insight Hub feels more like a focused web experience than a traditional BI tool. Clients typically:

1. Open the link you send (optionally with a password)
2. Browse pages you arranged (overview, deep dives, appendices)
3. Click **Explore** when explorable data is turned on
4. Filter, pivot, and ask questions about the data you made available

For the client exploration path, see [Client self-serve data slicing](/help/guides/client-data-slicing) and [Ask AI questions in a published Insight Hub](/help/guides/ai-questions-in-hubs).

## Build and share an Insight Hub

AddMaple help uses the term **Dashboard** for what you publish as an Insight Hub. The workflow below is taken from existing dashboard guides.

### Typical workflow (analyst)

1. **Create** a dashboard (via Save/Add to Dashboard flow or duplicate an existing one)
2. **Add items**: Text, Section, Call Out, Image, Video; add Charts via analysis screens or My Collection
3. **Arrange** items by dragging and resizing on the grid
4. **Add pages** and reorder tabs by dragging
5. **Style** items with the Style Editor (palette icon)
6. **Manage Publishing** to publish, copy link, and optionally set a password
7. Turn on **Data Explorable** and select columns if you want viewers to explore

Detailed steps:

- [Dashboards overview](/help/guides/dashboard/overview)
- [Create a dashboard](/help/guides/dashboard/create)
- [Add items to a dashboard](/help/guides/dashboard/add-items)
- [Pages](/help/guides/dashboard/pages)
- [Publish a dashboard](/help/guides/dashboard/publish)
- [Password protection](/help/guides/dashboard/password)
- [Make data explorable](/help/guides/dashboard/explorable)

### Focused deliverables from one study

If you need several client-ready views from the same dataset (for example one hub per audience or campaign), see [Create mini-dashboards for client deliverables](/help/guides/mini-dashboards) and [Subgroup views](/help/guides/subgroup-views).

## Related reading (outside help)

These pages use **Insight Hub** language and may help if you arrived here from a video or case study:

- [What is an Insight Hub?](https://addmaple.com/blog/wincross-vs-addmaple-survey-analysis#what-is-an-insight-hub) (FAQ section in the Wincross comparison blog)
- [Audience Audit case study](https://addmaple.com/case-studies/audience-audit) (example client workflow)

## Related help

- [Share with clients](/help/guides/share-with-clients)
- [Client self-serve data slicing](/help/guides/client-data-slicing)
- [Ask AI questions in a published Insight Hub](/help/guides/ai-questions-in-hubs)
- [Share Guess Charts](/help/guides/guess-chart)
