FIGR / UI TEMPLATE

Species Population Analytics

Track estimated wildlife abundance and observation quality across surveys.

Explore this analytics workflow as a reference for forestry and conservation software. Review its actions and edge cases, then adapt the screen to your product and design system. All example data is fictional.

Species Population Analytics

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At a glance

Screen

Analytics

Primary action

Track estimated wildlife abundance and observation quality across surveys

Pattern

analytics workflow

State

Default, Selected, Filtered, Empty, Warning, Success

Design system

Independent product UI reference

What this screen helps with

Track estimated wildlife abundance and observation quality across surveys.

What to look for

Core areas: Sites, Field Surveys, Species, Conservation Projects and Reports. Main task: Track estimated wildlife abundance and observation quality across surveys. Include site identifiers, owners and record status.

States to consider

Default, Selected, Filtered, Empty, Warning, Success. Add missing evidence, offline field notes, permission checks and failed saves where relevant.

Where it fits

Field Overview → Species Population Analytics → Track estimated wildlife abundance and observation quality across surveys

Patterns in this screen

analytics, record details, status labels, filters

UX choices to review

Label where and when measurements were collected. Separate missing data from a real zero and show how scores are calculated.

Keep survey dates and sources visible. Mark estimates as estimates and give field teams a way to recover from missing or delayed data.

Try a similar screen in Figr

Adapt Species Population Analytics to my existing conservation product and design system. Reuse our site and species data, field-work rules and interface components. Cover missing evidence and edge cases before creating editable screens.

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