Why does research drift across SDRs?

The default is no template, no schema, and no shared definition of useful research output. Each SDR develops their own informal process with variance in sources, depth, and storage. The drift accumulates because the team has no way to detect it without measurement infrastructure.

What does a standard research template contain?

Three components: schema (attributes per account), sourcing (where each attribute comes from), and depth expectations (how much research per account class). The template should be filled in 5 to 15 minutes with AI assistance to stay sustainable.

How do you enforce the standard without bureaucracy?

Build the template into the tooling so SDRs cannot send messages without filling the schema, measure quality at the aggregate level rather than individually, and use AI pre-fill to make the standard the path of least resistance.

How to Standardize Research Across SDR Teams

When SDRs research accounts in their own way, the team's intelligence cannot compound. Standardized research produces comparable outputs across SDRs.

Why Research Drifts

Absence of template, sourcing variance, depth variance, and storage variance combine to produce a team of independent researchers rather than a coherent research function.

The Standard Template

Schema, sourcing, and depth expectations together define what every SDR produces for every account, with AI pre-fill keeping the work to 5 to 15 minutes per account.

Centralized vs Distributed

Centralized has dedicated analysts, distributed has SDRs producing research, hybrid combines both. Long-context AI makes the hybrid increasingly common.

Enforcement and Quality Measurement

Tooling integration, aggregate-level measurement, and upfront coaching enforce the standard. Completeness, freshness, sourcing quality, and conversion correlation measure quality.