Do your dashboards show reality?

StreamLiner analyzes your Looker, Metabase, GA4, or Power BI screenshots to spot biases, explain what you're really looking at, and prioritize fixes.

streamliner.app/analyses/acquisition-septembre
acquisition-sept.pngLooker Studio · 1 920 × 1 080

Acquisition · Septembre

Mis à jour il y a 4 min

30 derniers jours

Sessions

128,4 k

+12,4 %

2

Conversion

2,4 %

+0,3 pt

Revenu

84,2 k€

+8,1 %

Panier moyen

61 €

−2,0 %

Taux de conversion

PériodePrécédente
2,5%2,4%2,3%2,2%2,1%2,0%1 sept.8 sept.15 sept.22 sept.30 sept.
1

Sessions par canal

Organique
Payant
Email
Social
Direct

Appareils

  • Mobile
  • Desktop
  • Tablette
  • Autre
3

Analysis

Done in 14 s
62/ 100

Average clarity

Readable, but the main chart scale visually amplifies the trend.

Hierarchy74
Scale fidelity41
Accessibility58
Readability77

3 findings

1

Y-axis not zero-based

High

Conversion curve 2.1% → 2.4%: the rise looks 3× larger.

2

Vanity metric in dominant position

Medium

“Sessions” occupies the most visible area, unrelated to revenue.

3

Low-accessibility palette

Low

2.1:1 contrast between Tablet and Other series.

Built for screenshots from your reporting tools

  • Looker Studio
  • Metabase
  • Google Analytics 4
  • Power BI
  • Tableau
  • Superset

A dashboard is for deciding, not for reassurance. StreamLiner reviews your dashboards like a senior analyst: it describes what the eye catches, highlights scale, window, and comparison biases, then tells you what to fix first.

Reading

Read before you interpret.

The agent describes visual hierarchy, identifies the dominant KPI, and reframes the dashboard's implicit question, so everyone looks at the same thing.

Biases

Explicit biases, evidence included.

Truncated scales, cherry-picked time windows, vanity metrics, misleading correlations: each finding points to the area and its severity.

Action

A prioritized action plan.

Not a flat list of notes: recommendations ranked by impact and effort, with the score you can reach once fixed.

< 2 min
from screenshot import to full report
4 axes
analyzed: hierarchy, scales, accessibility, readability
0 – 100
a clarity score and severity per finding

Framework

A knowledge base, not a throwaway prompt.

Each analysis draws on best practices: data visualization, cognitive biases, accessibility, and information architecture. It lives in your code; you extend it with your own rules.

  • Data visualization
  • Cognitive biases
  • Accessibility
  • Information architecture
finding.json
{
  "severity": "high",
  "title": "Axe Y non zero-based",
  "evidence": "Courbe conversion 2,1 % → 2,4 %",
  "rule": "dataviz/truncated-axis",
  "suggestion": "Revenir à zéro ou annoter l’échelle"
}

Workflow

From screenshot to action plan in four steps.

  1. 01

    Account

    Username and email code, or Google in one click.

  2. 02

    Context

    Your role, BI tools, and the decision the dashboard should inform.

  3. 03

    Import

    Drop a PNG or JPG screenshot, add notes if needed.

  4. 04

    Analysis

    The agent returns a score, spotted biases, and prioritized recommendations.

See what your dashboards aren't telling you.

Import a screenshot and get your first report before the next meeting.