Adoption

I measure whether reps and CSMs actually use the system as designed, because a workflow nobody follows is worse than no workflow: it produces data that looks real and is not. The failure mode is a team that logs into the CRM, updates the one field comp reads, and does everything else in a spreadsheet on the side.

Shape of it

Feature adoption across a rollout
Opp updates 84% Activity logging 57% Guided selling path 38% MEDDPICC fields 26%
Illustrative, not a benchmark. Adoption stalls fastest on features that add work without giving the rep something back.
HLT-01

Active login rate

Share of licensed users who log in within a period.

users logging in / licensed users

BenchmarkPractitioner target 90%+ weekly for a sales team the CRM is core to; a low rate on paid licenses is wasted spend and shadow process

Login is the floor of adoption; if they are not in the system, none of the downstream data is being maintained by them.

HLT-02

Feature adoption rate

Share of target users actively using a specific feature or workflow (guided selling, a new LWC, MEDDPICC fields).

users using feature / target users

BenchmarkJudge per feature against effort-vs-payoff; features that only add rep work stall in the 20-40% range without enforcement

A half-adopted feature produces partial data that is more dangerous than none, because reports treat the gaps as real zeros.

HLT-03

Data entry compliance

Share of records updated per the process (stage moves logged, next steps set, close dates current).

compliant records / records in scope

BenchmarkPractitioner target 90%+ on the fields that feed forecast and routing; below that the pipeline report is fiction

Forecasts and coverage math read these fields directly; compliance is the difference between a pipeline report and a guess.

HLT-04

Activity capture rate

Share of real customer interactions (calls, emails, meetings) logged to the CRM, ideally automatically.

BenchmarkManual logging captures a fraction of reality; auto-capture tools target 90%+ of email and calendar activity synced

Activity data drives engagement scoring and manager coaching; if capture is manual and low, every activity metric understates reality.

HLT-05

Time in system

Median active time users spend working in the CRM per day or week.

BenchmarkNo universal target; trend it and pair with output. Rising time with flat output means the system is friction, not value

Time in system, read against output, tells you whether the CRM is where work happens or a place reps visit to satisfy comp.

HLT-06

Shadow-system prevalence

Extent to which teams run the real process in spreadsheets or side tools instead of the CRM.

BenchmarkQualitative but critical; surface it in adoption interviews. Any team-wide side spreadsheet is a signal the CRM design failed that team

Shadow systems are the loudest adoption failure: the data leadership reports on is a stale copy of the real one living off-platform.