Dashboard Analytics

Enterprise

Peek.us

2024

Peek.us, 2024

Role

Lead/sole

Designer

Lead/Sole Designer

Type

Desktop -

Dashboard

Web app - Mobile

Background

Analytics presents data on unit-level touring, highlighting Peek's contribution to the leasing journey

Problem

Peek’s mission is to efficiently convert prospects into residents, but property managers struggle to assess the efficacy of its products through the current ROI data points.

Background

Although the analytics page includes unique data points, it lacks lead conversion data, which customers use to evaluate product performance. When included and presented effectively, this data enhances the story told by the other metrics.

MVP Features

Incorporate lead conversion metrics to evaluate product performance.
Make information more digestible by re-organizing the page, separating portfolio and property-level
views, and adding filters for specific data points.
Enable data downloads with custom date range for reporting in Excel

Stage 1

Identify User Groups

Buyers (Marketing Managers): Need insights to assess product performance.
Marketing Team: Requires engagement metrics.
On-Site Team: Needs visibility into operational data, such as the number of virtual tours deployed.

Stage 1

Identify User Groups

Buyers (Marketing Managers): Need insights to assess product performance.
Marketing Team: Requires engagement metrics.
On-Site Team: Needs visibility into operational data, such as the number of virtual tours deployed.

Stage 1

Identify User Groups

Buyers (Marketing Managers): Need insights to assess product performance.
Marketing Team: Requires engagement metrics.
On-Site Team: Needs visibility into operational data, such as the number of virtual tours deployed.

Stage 2

Define Business Impact

Decrease in customer requests for custom data pulls
Increased usage of dashboard analytics
More expansions linked to performance validation
Improved support for the sales team through better data visibility

Stage 2

Define Business Impact

Decrease in customer requests for custom data pulls
Increased usage of dashboard analytics
More expansions linked to performance validation
Improved support for the sales team through better data visibility

Stage 2

Define Business Impact

Decrease in customer requests for custom data pulls
Increased usage of dashboard analytics
More expansions linked to performance validation
Improved support for the sales team through better data visibility

Stage 3

Constraints

To retrieve and calculate missing data requires extensive backend effort
Numerous gaps in current functionality calls for breaking up the project into phases
Limited to charts in the component library
Challenges in data visualization for poor looking data.

Stage 3

Constraints

To retrieve and calculate missing data requires extensive backend effort
Numerous gaps in current functionality calls for breaking up the project into phases
Limited to charts in the component library
Challenges in data visualization for poor looking data.

Stage 3

Constraints

To retrieve and calculate missing data requires extensive backend effort
Numerous gaps in current functionality calls for breaking up the project into phases
Limited to charts in the component library
Challenges in data visualization for poor looking data.

Execution

The Approach

Alot of customer conversations

List discrepancies of current page

Ux and data visualization research

BE & FE check for effort & viability

Revisions and refinement

Identify data points each users care about

Take inventory of datapoints available

Ideation: User flow+Wireframes

Prioritize features for phase 1

Finalize handoff file

Final Designs

The Product

Dynamic

View the most relevant data

View aggregate data of an entire portfolio or filter down to specific properties.

Compare properties with different plan enrollments to evaluate product performance.

Track applicant behavior and compare it to prospects or leads who didn't apply.

Dynamic

View the most relevant data

View aggregate data of an entire portfolio or filter down to specific properties.

Compare properties with different plan enrollments to evaluate product performance.

Track applicant behavior and compare it to prospects or leads who didn't apply.

Organized

Addressing different user needs

Users can switch between analytics pages, each sectioned for different user needs and metrics.

Users can favorite pages with the data points they use most frequently.

Operations teams focus on content management, marketing teams on engagement, and organization managers on conversion.

Organized

Addressing different user needs

Users can switch between analytics pages, each sectioned for different user needs and metrics.

Users can favorite pages with the data points they use most frequently.

Operations teams focus on content management, marketing teams on engagement, and organization managers on conversion.

Bespoke

New download feature

Users can now download Excel reports and select data points for various teams.

A date range filter is available to view and download data within a specific window.

Downloads reflect the current view, with selected filters automatically applied.

Users can now download Excel reports and select data points for various teams.

A date range filter is available to view and download data within a specific window.

Downloads reflect the current view, with selected filters automatically applied.

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Darlene Tjahjo

Portfolio Site

Enterprise Projects

Contact

About

About Me

Darlene Tjahjo

Portfolio Site

Enterprise Projects

Contact

About

About Me

Darlene Tjahjo

Portfolio Site

Enterprise Projects

Contact

About

About Me

Back

Dashboard Analytics

Enterprise

Peek.us

2024

Peek.us, 2024

Role

Lead/sole

Designer

Lead/Sole Designer

Type

Desktop -

Dashboard

Web app - Mobile

Background

Analytics presents data on unit-level touring, highlighting Peek's contribution to the leasing journey

Problem

Peek’s mission is to efficiently convert prospects into residents, but property managers struggle to assess the efficacy of its products through the current ROI data points.

Background

Although the analytics page includes unique data points, it lacks lead conversion data, which customers use to evaluate product performance. When included and presented effectively, this data enhances the story told by the other metrics.

MVP Features

Incorporate lead conversion metrics to evaluate product performance.

Make information more digestible by re-organizing the page, separating portfolio and property-level

views, and adding filters for specific data points.

Enable data downloads with custom date range for reporting in Excel

Stage 1

Identify User Groups

Stage 1

Identify User Groups

Stage 1

Identify User Groups

Stage 2

Define Business Impact

Stage 2

Define Business Impact

Stage 2

Define Business Impact

Stage 3

Constraints

Stage 3

Constraints

Stage 3

Constraints

Execution

The Approach

Final Designs

The Product

Dynamic

View the most relevant data

Dynamic

View the most relevant data

Organized

Addressing different user needs

Organized

Addressing different user needs

Bespoke

New download feature

Back to top