KPI Tree

Slack Metric

Collaboration

File Sharing Frequency = Total Files Shared / Time Period

File Sharing Frequency measures the volume of files - documents, images, code snippets, and recordings - shared across Slack channels over time. It serves as a proxy for knowledge-sharing activity and can reveal whether teams are collaborating effectively or hoarding information.

SlackCollaboration

File Sharing Frequency

File Sharing Frequency measures the volume of files - documents, images, code snippets, and recordings - shared across Slack channels over time. It serves as a proxy for knowledge-sharing activity and can reveal whether teams are collaborating effectively or hoarding information.

How to calculate file sharing frequency

File Sharing Frequency = Total Files Shared / Time Period

Why file sharing frequency matters for Slack users

File sharing in Slack indicates active collaboration - teams exchanging specifications, designs, data, and documentation. Low sharing frequency may suggest that collaboration happens outside Slack or that file-sharing workflows are cumbersome.

For Slack administrators, file sharing trends also inform storage planning and governance decisions. A sudden spike may indicate that teams are using Slack as a file repository rather than a communication tool, which has implications for storage costs and information architecture.

Understand and act on file sharing frequency with KPI Tree

Extract file sharing data from Slack analytics in your warehouse and track frequency trends in KPI Tree. Link it to channel engagement rate and workspace health score in your collaboration tree.

Assign RACI ownership to IT administrators and review trends quarterly to ensure file-sharing practices align with information governance policies.

Get started with your Slack data

Query using MCP
MCP

Pull metrics from Slack directly through the Model Context Protocol.

Data Warehouse
SnowflakeBigQueryDatabricksRedshift

Connect your existing warehouse where Slack data already lands.

Professional Services
FivetranSnowflakedbt

Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.

Related Slack metrics

Channel Engagement Rate

Collaboration

Metric Definition

Channel Engagement Rate = Unique Posters in Period / Total Channel Members × 100

Channel Engagement Rate measures the level of participation within a Slack channel, calculated from the ratio of unique posters to channel members and the volume of messages, reactions, and thread replies. It distinguishes between channels that foster active discussion and those that are broadcast-only or dormant.

View metric

Workspace Health Score

Collaboration

Metric Definition

Workspace Health Score is a composite metric that evaluates the overall health of a Slack workspace by weighting factors such as platform adoption rate, active channel ratio, engagement depth, DM-to-channel ratio, and notification engagement. It provides a single number for tracking workspace quality over time.

View metric

Search Usage Frequency

Collaboration

Metric Definition

Search Usage Frequency = Total Search Queries / Active Users in Period

Search Usage Frequency measures how often users search within Slack and the success rate of those searches. It indicates whether the workspace serves as an effective knowledge repository and whether information architecture - channel naming, pinning, and threading - supports discoverability.

View metric

Platform Adoption Rate

Collaboration

Metric Definition

Platform Adoption Rate = Active Users / Total Provisioned Users × 100

Platform Adoption Rate measures the percentage of organisation members who are actively using Slack - sending messages, reacting, or engaging with content - within a defined period. It distinguishes between accounts that exist and accounts that are genuinely adopted into daily workflows.

View metric

Empower your team to understand and act on Slack data

Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.

Experience That Matters

Built by a team that's been in your shoes

Our team brings deep experience from leading Data, Growth and People teams at some of the fastest growing scaleups in Europe through to IPO and beyond. We've faced the same challenges you're facing now.

Checkout.com
Planet
UK Government
Travelex
BT
Sainsbury's
Goldman Sachs
Dojo
Redpin
Farfetch
Just Eat for Business