Methodology

Process Map v6

202 data points across ten factor groups — the evidence compass behind every ANYÉ Tier 1 audit.

6 min read

When a prospect asks “how big is your audit, really?” — this page is the answer. Process Map v6 is the canonical list of evidence we collect for every entity in every Tier 1 Competitive Power Audit. It is not a marketing promise; it is a spreadsheet you can inspect.

What it is

Process Map v6 is a 202-data-point schema split into ten factor groups, lettered A through J. For each data point the schema defines four things: what is being measured, how it is collected, where it comes from, and how it is scored. A second auditor working from the same evidence would arrive at the same score — that is the reproducibility bar we built it for.

The ten factor groups

GroupNameData pointsWhat it tracks
AProduct identity18Names, categories, descriptions, prices, variants
BCustomer voice22Reviews, testimonials, UGC, sentiment
CMarket demand19Search volume, trend, intent, seasonality
DCompetitive position24Market-share proxy, direct vs substitute pool
EEntity reputation18Authority, credentials, press, ratings
FDigital infrastructure16Website, domain, tech stack, backlinks
GConversion capability20Funnel, CTAs, forms, response time
HVisibility and reach21SERP rank, social followers, ads
IComparison capability26Spec sheets, compare pages, review density
JContent intelligence18Content playbook, brand voice, cultural fit
Total202

Every group except D is fully automated through the WF-01 collection pipeline; Group D requires human judgement and review of competitor disclosures.

How a single audit uses it

The schema is the input to phase 2 of the seven-phase Competitive Audience Intelligence (CAI) pipeline. After it is filled for the client and three to five peer entities, the data flows downstream:

  1. The Rating Engine consumes the populated schema and returns archetype, compliance, and trust scores per entity.
  2. The Five Lens view groups raw data points into CLAIM, VOICE, POSITION, EXECUTION, TRUST so a non-analyst can read the result.
  3. The Investment Priority Matrix ranks where each rupiah of marketing investment produces the highest return.

In production the full collection cycle for a five-entity peer set takes about six analyst hours and costs roughly $0.25 in external API spend. That economics is why Tier 1 carries a 99-percent gross margin at Rp 12 million.

Why we publish it

Most agencies treat their data taxonomy as proprietary IP and hide it behind an NDA. We do the opposite, for one reason: in the Indonesian mid-market the trust bar is high, and trust grows faster from transparency than from secrecy. A reader who can see the 202 points already knows whether the audit covers what they care about — that conversation is shorter and more honest than a sales pitch.

This is bet B4 of the ANYÉ strategy: published methodology beats hidden methodology. Eighteen months of measurement will tell us whether it holds.

What you can take from this page

Three things. First, the realistic scale of an ANYÉ audit — 202 is not a marketing number, it is the floor we settled on for the word “comprehensive.” Second, that reproducible competitive intelligence requires an instrument, not a viewpoint, and the instrument is a spreadsheet you can audit. Third, that we are willing to ship that instrument so any peer can verify or contest our scoring.

Public summary versus full schema

This page shows the ten groups plus the data-point counts. The full schema — 202 rows with collection method, agent or tool used, fallback if collection fails, the run in which the data point was last collected, and current automation status — is available as a downloadable spreadsheet. Send the keyword PETAV6 by WhatsApp to receive the link.

Canonical citation

When citing this framework in an article or a downstream audit, the form is: “Per ANYÉ Process Map v6, Group [letter] tracks [count] data points covering [dimension], including [example point].”