Helping law enforcement officers resolve crimes
Multitude Insights
Web, B2B, Social Impact, AI
2023
Overview
Product
BLTN is an AI-powered collaboration platform that helps law enforcement officers resolve crimes
Scope
User research, UI/UX design, usability testing, information architecture, design system
Timeline
2022.11 ~ 2023.11 (12 months)
Team
1 UX lead, 2 UX Designers, 1 Product Manager, 1 Legal Product manager, 1 VP of Engineering, 1 Engineering Team
Background
Company description and business need
Multitude Insights is an award-winning startup in the Government Technology (GovTech) space. It aims to help law enforcement agencies resolve crimes by leveraging their unstructured data through AI and NLP. Multitude Insights is an FBI CJIS-certified company that ensures the highest standards of security and compliance in its solutions.
Multitude Insights aims to contract with 100 police departments by the end of 2023 Q4.
Problem statement
Resolving crimes takes law enforcement officers a long time due to unstructured data and data silos. How might we help law enforcement officers better coordinate data to solve more crimes?
How is this problem real?
More than 50% of homicide cases are unresolved due to data silos [1].
89% of police officers say they need a shared platform [2].
90% of police officers say administrative work limits their time to solve cases [2].
Sources
[1] Nuance Communications, Role of Technology in Law Enforcement Paperwork Annual Report, 2021
[2] The Marshall Project, As Murders Spiked, Police Solved About Half in 2020, 2022
Defining deliverables
Discover
Heuristic evaluation to figure out areas not following usability heuristics
User interviews to identify user pain points
User persona to better understand the target and their needs
Competitive analysis to discover competitive advantage
Define
Affinity diagramming to organize the user pain points
Discussing with the design team to define non-functional requirements and design principles
Updating information architecture based on user interview data
Syncing with C-suite once a week to discuss product vision
Iterate and testing
Develop
Created iterations 2 times a week to share with the design team and C-suite members
Created a scalable component library for easy modifications
Labeled each flow and developed multiple end-to-end flows
Used a 12-column grid system to apply to key components
Deliver
Created designs based on user research insights, stakeholder alignment, and engineering sync on technical limitations
Conducted A/B testing with the high-fidelity prototypes to figure out design in line with users’ information hierarchy
Suggested new feature based on highlighted user need
Map iteration
Before
User has to manually draw connections across crimes that seem connected in the maps feature
After
AI-powered smart link to quickly identify connections across crimes
Dashboard iteration
Before
Game-like look and feel and crowded data available on other platforms
After
Data visualization to identify crime trends across relevant police departments
Details page iteration
Before
Structured data in a grid format that is difficult to scan and ingest
After
Streamlined data into a familiar bullet list format for easy scanning as users read in an F pattern
Advanced search iteration
Before
Prompt engineering is required to use the smart search feature
After
Essential filters for refining search results for users to get needed information fast
Final design
Smart link
AI scans crimes and suggests links between crimes
AI-powered smart link to quickly identify connections across crimes
Dashboard
Data visualization of relevant crimes within officer district
Data visualization to identify crime trends across relevant police departments
Create post
Key information in a bullet list for easy scanning
Streamlined data into a familiar bullet list format for easy scanning as users read in an F pattern
Smart search
Filters available to guide users to gain the data they need
Essential filters for refining search results for users to get needed information fast
Impact
MAU
Increased by 300% and requested demos by Lexis Nexis for acquirement based on increased usage traffic
Number of data uploaded
400%+ increase in the number of pings and posts uploaded to the platform with the introduction of the ping feature and mobile roll-out
Number of crimes marked as resolved
50% increase with BLTN has been selected as the central communications platform for the High-Intensity Drug Trafficking Area (HIDTA) program to solve drug-related crimes in the New England region
Design publicity
BLTN was selected as A’ Design Award winner in the Information Technologies and Software Design category based on innovation in AI design.
