We solve your problems with data!

Import/export, manual data wrangling in Excel and time-consuming error checking: That has been More in Common's data visualization process so far. We build a Shiny app to streamline and (partially) automate those workflows.

Kindersprachbrücke Jena supports children and youth but struggles with fragmented data. We streamline their workflows and build simple dashboards to track impact.

Aelius Förderwerk tracks educational equity outcomes across multiple data sources. We build a dashboard and standardize their impact measurement tools.

Chancenwerk collects impact data from multiple sources but struggles with manual exports and cleaning. We build tools that streamline these workflows and make results accessible to funders.

KI macht Schule engages over 100 volunteers to teach AI literacy. We turn their impact data into a compelling visual story for funders and the public.

Dare2Care's Resilient Schools program builds social-emotional skills but lacks robust impact data. We design questionnaires and a data collection system that makes outcomes measurable.

Local education networks collect rich data but struggle to use it. We help km2 Bildung standardize and visualize their findings to strengthen evidence-based advocacy.

ECFI tracks community foundations across Europe but lacks a unified data system. We build an open-source database that automates collection and visualizes their social impact.

We help coach@school automate recurring report workflows and create compelling data visualizations for funders using R-based tools they can maintain independently.

U25 counseling centers use a traffic-light system to signal availability, but no one tracks the patterns. We analyze and visualize capacity data to support advocacy and resource planning.

Phase BE guides youth from school to career, but progress data was scattered. We built a traffic-light dashboard that flags support needs at a glance.

Silbernetz e.V. relies on a dashboard that transformed their fundraising. We upgrade the codebase and deployment with modern R and Shiny best practices.

Sindbad runs a mentoring program and surveys participants regularly. We build a dashboard that turns this feedback into actionable insights for quality management.

We turn open climate and weather data from Konstanz into a visual data story that makes the local impacts of climate change tangible for citizens and policymakers.

We help digital verein(t) evaluate and visualize a survey on AI adoption in Bavarian volunteer organizations, uncovering insights for future research.

Chancenwerk surveys students regularly but struggles to turn that data into insights. We automate their evaluation workflows so staff can focus on the kids.

Babylotse Frankfurt surveys families with babies but lacks capacity to analyze 1000 open-text responses. We use LLMs to categorize feedback and surface regional patterns.

We design and test questionnaires through focus groups, helping organizations understand what their communities truly need.

Politik zum Anfassen e.V. runs youth democracy simulations that generate thousands of policy ideas. We build a platform to make this data searchable and track real-world implementation.

We help relaunch the "Leerstandsmelder" platform, enabling citizens across 41 German cities to report vacant buildings and advocate for affordable housing.

We build a democratic guide that makes local political processes more transparent and accessible for citizens.

In safe hands e.V. needs to scale impact measurement without sacrificing quality. We build an AI tool that suggests codings for interview responses while staff retain full control.

We compare OpenStreetMap drinking fountain locations against official city records and assess metadata quality to reveal data gaps across German cities.

We build an ETL pipeline that extracts Limesurvey data and loads it into a database, enabling efficient analysis and data management.

Building live-connected reporting pipelines: We develop tools that stream data from R through Metabase directly into Google Docs for automated updates.

We build a Paris Parking Demand Index prototype that maps bike parking supply against demand indicators, helping the City of Paris decide where new spots are needed most.

We develop a Python library that provides unified access to German statistical databases, making official data easier to analyze and visualize.

We develop an R package that provides a unified interface to Germany's official statistics databases, making census and GENESIS data easy to access and analyze.

We turn a static PDF child-protection assessment into a multilingual web app that scores organizations, visualizes results, and recommends tailored safeguarding measures.

We analyze 37,000 Caritas counseling surveys to reveal how single mothers face disproportionate long-term unemployment—evidence that shapes policy advocacy.

Silbernetz e.V. tracks thousands of calls to combat senior loneliness. We automate their data pipeline and build an interactive dashboard for impact reporting.

Science on Stage juggles data from many sources, leading to tedious manual work. We develop R scripts that automate and streamline their data processing.

We build an R package that gives KoboToolbox users programmatic access to their data, automating workflows for field researchers and humanitarian organizations.

Hacklab Foundation surveys Ghana's developer community. We analyze and visualize the results in an interactive public report that guides future support programs.

Volunteer tutors need feedback to stay motivated. We build a dashboard that shows them student satisfaction and progress metrics.

We build an R package that lets researchers explore Germany's largest survey of people of African descent through automated visualizations.

Mare Liberum documents illegal pushbacks in the Mediterranean. We clean their database and create visualizations that strengthen advocacy and reporting.

Analyzing iNaturalist data reveals how citizen scientists interact, identify species together, and how the community evolves over time.

The city of Konstanz publishes open data, we make them easily accessible for data scientists by developing an R package.

The city of Konstanz publishes open data, we make them easily accessible for data scientists by developing a Python package.

Analyzing participant surveys reveals who attends European Youth Parliament events and how these gatherings shape attitudes and skills.

Denk-mal-Kultur e.V. wants to create an academy for self-determined aging in rural areas. We survey local residents to gauge interest and identify potential partners.

Erlassjahr.de advocates for fair debt relief worldwide. We build an interactive world map that makes complex debt data accessible and frees up time for deeper research.

Local elections overwhelm voters with endless candidate lists. We analyze usage data from KOMUNAT, a voting advice app, to improve how citizens find candidates who match their views.

We build an internal dashboard that centralizes website access metrics, giving teams clear insight into performance patterns and trends.

Finding the right sustainability qualification can be overwhelming. We build a searchable database with interactive assessment to guide career decisions.

BeeObserver collects sensor data from hives across Germany. We build a machine learning alarm system that alerts beekeepers when something goes wrong.

Weltladen Umbrella Association surveys 300+ member shops annually. We automate report generation with R and LaTeX, saving time and reducing errors.

Minor EU reaches migrants via Facebook but drowns in irrelevant notifications. We build text-mining filters that surface the posts that matter.

Mannheimer Platte serves affordable meals to those in need. We analyze 17 years of sales data to reveal demand patterns and improve procurement planning.

TV Käfertal wants to understand its members better. We design and run a comprehensive survey to evaluate club structures and communication.

We analyze two large-scale member surveys for the Scout Association North, uncovering insights across 15 local groups and over 500 respondents per wave.