Objective · Q2 2026

Become the default resource for growth analytics in SaaS + ecommerce mid-market — and the highest-quality lead source for Adasight.

Key results
Qualified leads / mo to Adasight ★ North Star
N/A/ 5
no datano data
needs setup
Attio
Attio CRM connected, but no GAE-attribution filter or UTM tagging in place yet.
Monthly organic visitors
N/A/ 5,000
no datano data
configured
Google Search Console
GSC verified — API connection pending. Clicks data available once wired.
Tool engagement rate
N/A/ 12%
no datano data
needs setup
Amplitude
Amplitude not installed on GAE. No event tracking on tools.
Tactical decisions · awaiting your approval

Agent-proposed actions, daily-scale. Approve, reject, or edit. Each carries the agent's confidence and the evidence behind it.

Setup queueconf 1.001h ago
Install Amplitude on growthanalyticsengine.com

No web analytics on GAE today. Amplitude is Adasight's primary stack and required for the Engagement layer of the causal tree. Define event taxonomy: tool_started, tool_completed, guide_read, cta_clicked.

Setup queueconf 1.002h ago
Add UTM tagging to all Adasight outbound links on GAE

Without UTMs, Attio cannot attribute qualified leads back to GAE. Apply utm_source=gae, utm_medium=tool|guide|nav, utm_campaign=<page-slug> to every link to adasight.com or LinkedIn.

Setup queueconf 1.003h ago
Wire Google Search Console API into the Hub

GSC is verified for GAE but not connected. Connecting it unlocks: organic visitors KR, tool-page traffic node, guides-ranking-top-10 node, and the SEO opportunity monitoring mechanism.

Setup queueconf 0.954h ago
Create Attio saved view: Qualified leads attributed to GAE

Once UTMs flow, populate Attio lead_source field via first-touch capture, then create a saved view filtered to source = gae. This becomes the North Star data feed.

Causal operating model

The full chain from operating habits to business outcomes. When something downstream slips, the answer is upstream — usually a mechanism that stopped running before the metric started moving.

Outcome
What we ultimately want
Qualified leads to Adasight
N/A/ 5/mo
sourceAttioneeds setup
Conversion
What turns engagement into outcome
Adasight contacts attributed to GAE
N/A/ 8/mo
sourceAttioneeds setup
Engagement
What signals interest
Tool completions
N/A/ 240/mo
sourceAmplitudeneeds setup
Tool-page organic traffic
N/A/ 2,400/mo
sourceGoogle Search Consoleconfigured
Output
What we produce
Guides ranking top 10
N/A/ 15 / 21
sourceGoogle Search Consoleconfigured
Mechanisms
Habits and routines that produce outputs
not set up1 / week (target)
Content publishing cadence
manualnever run
source—
not set upcontinuous (target)
Brief backlog populated (≥10)
manualnever run
sourceAirtable
not set upweekly (target)
Topic research (forum + competitor scan)
Forum Listener (not built)never run
source—
not set upweekly (target)
SEO opportunity monitoring
SEO Agent (not built)never run
sourceGoogle Search Console
on track at risk off track no data not set up
Strategic decisions

Open and recently closed. Every decision carries a hypothesis, the evidence behind it, and the criteria for closing the loop. Linked to specific causal-tree nodes.

in progressreview · 2026-05-26

Instrument GAE end-to-end before launching agents

Hypothesis

Agents proposing actions without measurable feedback loops will be impossible to validate. Instrumenting first means every later decision can be measured for impact.

Rationale

We're at zero data today. Running agents on N/A is theatre. Spend the first sprint wiring GSC + Amplitude + UTMs + Attio attribution; only then start agents.

Success criteria

Within 4 weeks: GSC, Amplitude, UTM tagging, Attio attribution view all live and producing data into the Hub.

Linked nodes

Qualified leads to Adasight · Tool-page organic traffic · Guides ranking top 10

openreview · 2026-07-28

Launch YouTube channel with AI-generated explainer videos

Hypothesis

Short-form explainers will rank for queries our audience asks but doesn't search via Google text — surfacing GAE to a parallel discovery channel.

Rationale

Forum signal anecdotal at this stage; will be data-backed once Forum Listener agent is built. Defer commitment until instrumentation is in place.

Success criteria

Defined post-instrumentation. Provisional: 1,000 subscribers + ≥1 attributed lead within 90 days of first publish.

Linked nodes

Tool-page organic traffic · Tool completions

validatedreview · 2026-04-28

Backend stack split: Airtable + Supabase + Linear

Hypothesis

Different data has different audiences. Airtable for human-readable structured data; Supabase for agent state/memory; Linear for pipelines and tasks.

Rationale

Each backend optimised for its purpose. Airtable's spreadsheet-like UX makes decisions/issues/learnings durable and editable. Supabase handles vector memory and agent state. Linear is already in use for the team.

Success criteria

Architecture documented and applied to v1 build.

Linked nodes

Outcome

Decision logged in Notion product docs (Build & Release). Schema review on existing Airtable delivery base (appQWB9JqbhHHf5yG) is the next concrete step.

Pipelines · in flight

Active workstreams executing toward causal-tree nodes. Each pipeline links to the node it's intended to move.

Setup
GSC API integration
Hub backend→ Tool-page organic traffic
Setup
Amplitude install + event taxonomy
Hub backend→ Tool completions
Setup
UTM tagging across GAE outbound links
manual→ Adasight contacts attributed to GAE
Setup
Attio attribution + saved view
manual→ Qualified leads to Adasight
Agents

The system's working surface. Each agent has a defined role, runs on a cadence, and writes to the decision queue when its confidence meets threshold. None are built yet for this product — agents come after the data layer is wired up.

SEO Agentnot built

Will monitor rankings, identify refresh opportunities, draft content briefs. Depends on GSC API.

—
Experimentation Agentnot built

Will design and monitor experiments. Depends on Amplitude + Statsig.

—
Forum Listenernot built

Will scan Reddit, HN, IndieHackers for high-signal threads. Independent of analytics.

—
Insight Synthnot built

Will synthesize weekly state into executive summary. Depends on all upstream data.

—
Friction & issues

Negative-impact events: broken tracking, blocked agents, slipped pipelines, third-party outages. Diagnostic signal — recurring issues on the same node mean a structural weakness, not a one-off.

open
No web analytics on GAE — engagement layer is dark
Audit, 2026-04-28high severity→ Tool completionsdetected 6h ago
open
No UTM tagging on outbound Adasight links — North Star is unattributable
Audit, 2026-04-28high severity→ Qualified leads to Adasightdetected 6h ago
open
No agents running on GAE — entire mechanism layer is manual
Audit, 2026-04-28medium severitydetected 6h ago
open
GSC verified but API connection pending
Audit, 2026-04-28medium severity→ Guides ranking top 10detected 6h ago
Data sources · the honest layer

What's actually flowing data into the Hub vs. what still needs setup. Every metric in the cockpit traces back to one of these. If a source is not connected, the metric is N/A — by design.

0 live1 configured6 needs setup7 total
Search
Google Search ConsoleConfigured

Search rankings, impressions, clicks, queries. Property is verified via meta tag — API connection still to do.

Setup steps (4) ↓
  1. Generate Google Cloud service-account JSON with Search Console API scope
  2. Add the service account email as a verified user in GSC
  3. Wire credentials into the Hub backend (Supabase env)
  4. Schedule daily pull into Airtable mirror table
Analytics
AmplitudeNeeds setup

Web analytics + event tracking on the GAE tools. Not yet installed.

Setup steps (5) ↓
  1. Create Amplitude project for growthanalyticsengine.com
  2. Install Amplitude Browser SDK in /assets/site.js
  3. Define event taxonomy: tool_started, tool_completed, guide_read, cta_clicked
  4. Verify events in Amplitude debugger
  5. Wire Amplitude API into Hub backend
Google Analytics 4Needs setup

Optional fallback analytics. Skip if Amplitude is the chosen primary.

CRM
AttioNeeds setup

Adasight CRM — source of truth for qualified leads. Need a saved view filtering by GAE attribution before this can power the North Star.

Setup steps (5) ↓
  1. Add UTM tagging to every Adasight link on GAE (utm_source=gae)
  2. Add Attio custom field: lead_source
  3. Map first-touch attribution into the lead_source field
  4. Create saved view: 'Qualified leads from GAE'
  5. Wire Attio API into Hub backend (read-only)
Experimentation
StatsigNeeds setup

Feature flags + experimentation on GAE. Not yet installed; fits once Amplitude events are flowing.

Operations
AirtableNeeds setup

Human-readable backend for strategic decisions, friction log, learnings, KPI/mechanism definitions, OKRs.

Setup steps (3) ↓
  1. Review existing delivery base (appQWB9JqbhHHf5yG) for schema patterns
  2. Create Hub base with tables: decisions, issues, learnings, kpi_nodes, krs
  3. Wire Hub frontend to Airtable via REST API + Personal Access Token
LinearNeeds setup

Pipelines / tasks / workstreams. Hub reads — does not replace.

Setup steps (3) ↓
  1. Add Linear OAuth app
  2. Filter to ADA team / GAE-tagged issues
  3. Map issue states to pipeline progress
Learnings · the institutional memory

Insights extracted from closed decisions, completed experiments, and resolved issues. Surfaces when a new decision touches a related node — so the system gets smarter over time.

No learnings yet

The first learnings will appear once strategic decisions close with outcomes, experiments complete, or issues resolve. Memory accumulates from closed loops.