Efficacy Guide
Back to App

Attribution

When a change is tracked, credit flows upward through the hierarchy — from the team that helped, to the project, to the strategy, to the issue space.

The Contribution Slider

When a user's attribute changes, they're prompted to distribute credit:

Congratulations on your new job! What helped you achieve this?
CV Workshop
40%
Interview Training
25%
Mentorship Scheme
20%
Other / Self
15%
Total: 100%

The "Other" category captures non-platform factors — ensuring honesty about what we can't track.

How Attribution Flows Up

Attribution aggregates from the most granular level (teams) up to the broadest (issue spaces):

Issue Space

Total Tide vs. total Boats. Comparative efficacy across strategies.

↑ aggregates from
Strategy

Sum of all project contributions. Shows which approaches work.

↑ aggregates from
Project

Combined attribution of its teams.

↑ aggregates from
Team

Most granular level. Individual teams claim contribution to specific outcomes.

Geographic Cascade

Stories are not duplicated — each level queries the same stories with geographic filters:

Global

All tracked changes worldwide

↑ includes
United Kingdom

All users/entities with UK address

↑ includes
London

All users/entities with London address

↑ includes
Hackney

Most local level. Individual users and entities.

A user in Hackney automatically counts in London, UK, and Global issue spaces.

Attribution Principles

Honest Uncertainty

Claim only what you can reasonably defend

Shared Credit

Multiple actors can contribute to the same outcome

Over-claiming Visible

When Boats exceed Tide, it signals over-attribution

Learning Focus

The goal is insight for improvement, not credit-taking

Comparative Efficacy

Once attribution data accumulates, engage.re enables comparison of approaches:

  • Which strategies produce the most impact?
  • Which projects over-claim vs. under-claim?
  • Where are the gaps between Tide and Boats?
  • What patterns emerge across different issue areas?

This is the core value proposition: turning fragmented impact claims into actionable intelligence about what actually works.