Product-Led Sales

Scope

Covers

Designing a product-led sales (PLS) motion: converting self-serve usage into a sales opportunity that can close larger contracts
Defining product-qualified entities (PQL/PQA), signals, thresholds, scoring, and routing rules
Designing the sales handoff workflow (alerts, SLAs, dispositions) and a Product↔Sales feedback loop
Creating a usage-triggered outreach kit (helpful, compliant, not “creepy”)
Planning instrumentation, reporting, and a pilot-to-scale rollout

When to use

“We’re PLG/self-serve, but we want to add sales without breaking the low-touch funnel.”
“Define PQLs/PQAs and the product signals that should trigger outreach.”
“Create a product-led sales playbook for sales to act on usage signals.”
“Sales says MQLs are low quality—build a product-qualified pipeline instead.”
“Design a PLS pilot (routing + SLAs + measurement) before scaling.”

When NOT to use

You don’t have meaningful activation or self-serve usage yet (fix onboarding/activation first)
You want a purely enterprise, relationship-led motion with minimal product usage signals (use
```
enterprise-sales
```
)
You need ICP/positioning or pricing/packaging from scratch (do that first, then return)
You want spammy outreach, deception, or dark patterns (not supported)
You need legal/privacy/security advice or production data/CRM implementation (coordinate with qualified experts)

Inputs

Minimum required

Product + model: freemium/trial, typical onboarding path, who uses vs who buys
ICP/segments: target roles + company types + ACV bands (and which segment is in scope for PLS)
Objective: conversion to paid, expansion, ACV lift, pipeline creation (pick 1 primary)
Current funnel baseline: activation rate, trial-to-paid, expansion rate (even rough)
Usage data reality: what events/attributes exist, and whether you can map users → accounts
Sales capacity + workflow: SDR/AE/CS roles, SLAs, and where activity is logged (CRM)
Constraints: regions/compliance, “don’t use these signals,” messaging tone/brand rules

Missing-info strategy

Ask up to 5 questions from references/INTAKE.md.
If answers aren’t available, proceed with explicit assumptions and label unknowns in Assumptions & unknowns plus a short Validation plan.

Outputs (deliverables)

Produce a Product-Led Sales Motion Pack in Markdown (in-chat; or as files if requested):

Context + goal snapshot (segment, objective, success metrics, constraints)
PLS funnel + ownership map (stages, intervention points, RACI, SLAs)
PQL/PQA definition + signal spec (signals table, thresholds/scoring, false-positive controls)
Routing + workflow spec (alerts, assignment rules, CRM fields, dispositions, feedback loop)
Usage-triggered outreach kit (email templates + call opener + follow-up rules)
Instrumentation + reporting plan (tracking plan, dashboards, leading indicators)
Pilot + scale plan (timeline, experiment design, rollout guardrails)
Risks / Open questions / Next steps (always included)

Templates: references/TEMPLATES.md

Workflow (7 steps)

1) Intake + readiness gate (PLS is a layer, not a substitute)

Inputs: User context; references/INTAKE.md.
Actions: Confirm the primary objective and target segment(s). Run a readiness gate: do you have activation/usage depth + identity/account mapping to create reliable signals? Capture constraints (sales capacity, SLA expectations, privacy/compliance).
Outputs: Context snapshot + readiness verdict (Ready / Needs prerequisites) + assumptions/unknowns.
Checks: Objective is measurable; segment is explicit; prerequisites and constraints are documented.

2) Map the PLS funnel and decide where sales intervenes

Inputs: Current PLG funnel, user journey, pricing/packaging, sales coverage model.
Actions: Map stages from first value → sustained usage → qualification → sales assist → purchase/expansion → onboarding. Pick intervention points where a human can increase deal size or reduce time-to-value, and define guardrails to keep a low-touch path intact.
Outputs: PLS funnel + intervention points + guardrails + ownership map (RACI).
Checks: Low-touch conversion path remains viable; ownership is explicit at every stage.

3) Choose the qualified unit (PQL vs PQA) and write the definition

Inputs: Buyer/user model, account structure, pricing driver (seats/usage).
Actions: Decide the qualified unit:
- PQL for user-led buying (a user’s intent/need)
- PQA for account-led expansion (account adoption/coordination) Write a crisp definition: required signals + thresholds + exclusions.
Outputs: PQL/PQA definition (inclusion/exclusion + examples).
Checks: Definition is computable from data, not vibes; includes anti-gaming/false-positive controls.

4) Build the signal spec, scoring, and routing/SLA rules

Inputs: Available events/properties, identity graph, sales capacity, CRM workflow.
Actions: Create a signal catalog (activation/aha, depth, breadth, integrations, invites, admin actions, billing intent). Set thresholds and scoring, define routing (who gets alerted, when), and specify a triage/holdout path for ambiguous signals.
Outputs: Signal spec table + scoring model + routing + SLA + disposition taxonomy.
Checks: Signals map to intent and value potential; routing matches capacity; false positives are addressed.

5) Design the sales workflow and Product↔Sales feedback loop

Inputs: Sales roles, CRM fields, enablement constraints.
Actions: Define the operational workflow: alert delivery, assignment rules, what context reps see, required actions, logging, dispositions, and a weekly tuning loop with Product/RevOps to improve signals and messaging.
Outputs: Workflow spec + RACI + weekly review agenda.
Checks: Every alert has a next best action; outcomes are measurable and feed back into tuning.

6) Create the usage-triggered outreach kit (helpful, not creepy)

Inputs: Use case narrative, common objections, signal context.
Actions: Write email templates that reference helpful context (“noticed you’re setting up X”) without surveillance language. Provide variants for early vs high intent. Add a call opener + discovery prompts anchored to the user’s likely goal.
Outputs: Outreach kit (emails + call opener + follow-up rules).
Checks: One clear ask per message; tone is respectful/compliant; personalization uses only approved signals.

7) Pilot, measure, iterate, and scale

Inputs: Draft pack; baseline metrics; pilot constraints.
Actions: Propose a pilot (segment + duration + sample size), define success metrics and leading indicators (time-to-first-touch, meeting rate, conversion, expansion, retention). Run references/CHECKLISTS.md and score with references/RUBRIC.md. Finalize with Risks / Open questions / Next steps and a rollout plan.
Outputs: Final Product-Led Sales Motion Pack + pilot/measurement plan.
Checks: Pilot is bounded; dashboards are specified; iteration cadence is scheduled and owned.

Quality gate (required)

Use references/CHECKLISTS.md and references/RUBRIC.md.
Always include: Risks, Open questions, Next steps.

Examples

Example 1 (trial → sales assist):
“Use

product-led-sales

. We’re a B2B analytics tool with a 14-day trial. We get lots of signups but low trial-to-paid. We have usage events and can map users to companies via email domain. Sales: 2 SDRs + 2 AEs. Output: a Product-Led Sales Motion Pack with a PQL definition, routing rules, outreach emails, and a 4-week pilot plan.”

Example 2 (expansion via PQA):
“Use

product-led-sales

. We’re seat-based SaaS. Teams start self-serve at $20/seat but we want to land-and-expand into 100+ seat contracts. We can detect invites, admin setup, and integration activation. Output: a Motion Pack that defines PQAs, scoring, and a sales workflow + outreach kit for expansion.”

Boundary example:
“Write a generic cold outbound sequence for any product and send it to 50,000 people.”
Response: explain this skill is usage-signal-driven and must be targeted and compliant; request product + ICP + available signals and produce a small, testable sequence and pilot instead.

product-led-sales

NPX Install

Tags

SKILL.md Content