levelpartner.ai
Reporting and attribution

Customer journey visualization: how it works and how to set it up

Customer journey visualization turns stage counts, conversion rates and time in stage into charts that a director can read in thirty seconds. A table of numbers gets skimmed. A funnel chart with one obviously narrow stage gets acted on. This article answers which charts to use for which journey questions, and how to build a single journey dashboard in the levelpartner.ai platform that updates itself as contacts move.

Four charts that cover most questions

You rarely need more than four.

  • A funnel chart of contacts per stage, which shows where volume falls away.
  • A stages distribution chart, which shows where open deals are waiting.
  • A line chart of new enquiries and won deals per week, which shows trend.
  • A table of sources with enquiries, wins and revenue, which shows where the good clients come from.

Each answers one question. Resist adding a fifth chart until someone asks a question the four cannot answer.

Before you start

  • A pipeline in Opportunities that matches your journey stages.
  • Sources recorded on most contacts. See customer journey tracking if not.
  • Won values recorded on closed opportunities.
  • Permission to create and edit dashboards.

How to set it up

  1. Go to Dashboard and click + Add Dashboard, named after the journey.
  2. Click + Add a widget manually and add Funnel from General.
  3. Add the Stages Distribution widget to show where open deals sit.
  4. Add Opportunity Counts Over Time for the weekly trend.
  5. Add the Lead Source Report for leads, wins and losses by source.
  6. Set the date range to the last 90 days so seasonal swings are smoothed.
  7. Arrange the funnel at top left, then click Save Changes.
  8. Share the dashboard with leadership and every stage owner.
  9. Ask each viewer to name one thing they would act on, and remove any widget nobody mentions.

Choosing the right chart

A funnel is the default for stage counts, but it misleads when stages are not sequential. If buyers can skip stages, use a bar chart of counts instead. For open deals by stage, a distribution chart works while stages are few; past six stages, small slices hide differences.

Colour should carry one meaning. Use one accent colour for the stage you are currently trying to fix and grey for the rest. That way the chart tells people where to look.

Illustration: a 70-person consultancy building its first journey dashboard

Imagine a consultancy puts four widgets on one dashboard. Say the funnel reads 410 enquiries, 190 qualified, 95 proposals and 31 won over the last 90 days, and the stages distribution shows 64 open deals waiting at proposal, more than every other stage combined. If leadership has been debating lead volume, that one chart would point the conversation at proposal turnaround instead.

What it replaces

The dashboard replaces the monthly slide deck built by hand from exports, and the long email where someone reports stage numbers in prose. It also replaces the habit of each director keeping their own spreadsheet version of the funnel.

Time it takes each week

Building the dashboard takes two to three hours if the data is clean. After that it updates itself. Allow five minutes a week to glance at it and fifteen minutes a month to review whether each widget still earns its place.

The mistake most people make

The common mistake

Building a dashboard for every possible question. Thirty widgets mean nobody can find the one that matters. Start with four and add only when a real decision needs a new number.

A second version of the same mistake is colour. When every stage has its own shade, the eye reads the palette rather than the drop between stages. Use one colour for the journey and a single contrasting colour for the stage you are trying to fix this quarter, so the problem is the first thing anyone sees.

When not to visualise

When volume is very low, charts exaggerate random noise. A stage that goes from four to two looks like a collapse on a chart and is meaningless. Show the raw numbers instead until volumes grow. Also avoid charts that rest on stages people do not maintain; a well-designed chart of bad data is still bad data. For a map that people can click into, see interactive customer journey map.

Troubleshooting

The funnel shows more contacts in a later stage than an earlier one

Opportunities are being created directly in later stages. Start every opportunity at the top.

The funnel shows almost no deals in the middle stages

Cards are moved through several stages at once at the end of a deal. Move them as the stage changes, or let workflows do it.

Leadership still asks for the spreadsheet

The dashboard is missing a number they rely on. Ask which one and add it, then retire the spreadsheet.

Revenue by source looks wrong

Values are missing on won deals. The marketing attribution dashboard guide covers source and revenue reporting in more depth.

Frequently asked questions

Can we visualise the post-sale journey too?

Yes. Build a second funnel on your client lifecycle pipeline, showing onboarding, active and renewal stages.

Should the dashboard be public to the whole company?

Share it with everyone who owns a stage. Wider visibility helps when the numbers are honest and used to fix problems rather than blame people.

How often should we change the dashboard?

Rarely. Keep the core four widgets stable so trends remain comparable, and change the highlight colour when your focus stage changes.