Competitive analysis
Skill lossless-group/lossless-agent-skills/competitive-analysis
Pi & Agent-Skills-standard skills used by The Lossless Group. Starting with context-vigilance.
npx -y skills add lossless-group/lossless-agent-skills --skill competitive-analysisAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Competitive Analysis Taxonomy
Competitive analysis for an investment memo is built on two orthogonal axes:
- Stage ring — concentric circles outward from the target company's own stage of development. The target sits at the center; competitors are placed on the ring that matches their stage, not the target's.
- Competitor type — how structurally similar the competitor's offering, value proposition, and customer set are to the target's.
Every competitor named in a memo should be tagged on both axes.
Axis 1 — Stage Rings
The target company sits at the center. Competitors are sorted onto rings by their own funding stage / scale, not the target's. A seed-stage target with incumbents on its outer ring tells a very different story than a seed-stage target whose entire landscape is other seed-stage companies.
| Ring | Definition |
|---|---|
early stage | Pre-Seed, Seed, Series A |
early scaleup | Series B, Series C |
scaleup | Series D and beyond, prior to mezzanine |
mezzanine | Pre-IPO rounds where valuation exceeds ~$2–3B |
incumbents | Public companies, or massive PE-owned rollups |
How to use the rings
- Place the target on its own ring first. Everything else gets classified relative to that center, but each competitor is named on the ring matching its own stage.
- A complete competitive picture spans multiple rings outward — being only compared against same-ring peers usually hides the real threat (
noisewashingincumbents, or scaleups about to enter the segment). - A target with no
early stagecompetitors but manyincumbentsis in a different position than one surrounded by same-ring peers — both facts belong in the memo.
Axis 2 — Competitor Types
These four types describe the structural relationship between a competitor and the target. They are listed roughly inside-out by directness of threat.
direct
Offers essentially the same set of services/products, has essentially the same value proposition, and sells to essentially the same customer set.
There should be very few of them. If a memo lists more than a handful of direct competitors, the classification is probably too loose — most of them are actually adjacent.
adjacent
A similar set of services/products, with slightly different value propositions, and often different ideal customer profiles or market segments.
These are the companies that could become direct competitors with a small product or positioning shift. Often the most important set to track because the boundary is mobile.
indirect
Analogous services/products with comparable value propositions but different framing, and typically entirely different target markets.
The customer could in principle substitute the indirect competitor's solution, but they live in a different category and reach the customer through different channels.
noisewashing
Incumbent companies that have many products, services, and markets and make a lot of noise that they have a similar offering to the challenger company.
They are not actually a credible alternative in the target's specific category — the overlapping product is a checkbox in a broader suite, not the focus — but their marketing, SEO, sales motion, and analyst presence crowd the category. They show up in buyer shortlists by virtue of size, not fit.
Flag noisewashing explicitly. The memo's job is to distinguish category presence from category competence.
Noisewashing vs. genuine incumbent threat
Incumbents are mostly noisewashing but sometimes the noise covers a real threat. Google and Microsoft both produce enormous category noise — clicks, mentions, press, analyst coverage — that makes them look like innovators even when the underlying offering is barely used. But sometimes there is sustained heavy investment behind the noise and the offering becomes real. Microsoft Azure is now a genuine threat in cloud services. Google's Waymo is a genuine threat in self-driving cars.
Use this test to separate noise from threat:
| Signal | Noisewashing | Genuine threat |
|---|---|---|
| Coverage / PR / analyst mentions | High | High (same — coverage doesn't discriminate) |
| Actual paying users in the target's specific category | Low | Growing |
| Multi-year sustained capex / headcount / org commitment | No (it's a feature in a suite) | Yes (it's a standalone bet) |
| Listed as the offering's category in the incumbent's own earnings calls / segment reporting | No | Yes |
| Buyers actually shortlist and choose them on merit (not procurement convenience) | No | Yes |
If only the first row is "high," it is noisewashing. If the bottom rows light up too, reclassify — usually as adjacent or direct on the incumbents ring, and call out the reclassification explicitly in the memo so the reader sees the judgment.
Classification Discipline
For every competitor named in the memo:
- Tag the ring. Where on the concentric circles does this competitor sit by its own stage?
- Tag the type. Direct / adjacent / indirect / noisewashing — pick exactly one, and prefer the looser classification when on the boundary (most "direct" candidates are really
adjacent). - Sanity-check counts. Very few
direct. Severaladjacent. A handful ofindirect. Noisewashing as many as are actually crowding the category. - Watch for ring/type combinations that change the story.
incumbent+noisewashingis the classic enterprise-software pattern.early scaleup+adjacentis often the real future competitor.early stage+directis a head-to-head race for the same segment.
Two outputs: exhaustive research, synthesized memo section
Competitive analysis is one of the things venture investors ponder most heavily, and it produces two artifacts at very different fidelities in the same pipeline run:
- Dedicated competitive research file(s). These can and should be long and exhaustive — every competitor surfaced by research, classified on both axes (ring + type), with full notes, sources, and the reasoning behind any reclassification (e.g., a noisewashing-to-genuine-threat call). This is the analyst's working corpus, not the reader-facing artifact.
- Competitive section of the final memo. This must be synthesized, not exhaustive. A reader-facing memo section almost always needs at least one of: a table (e.g., competitors × rings, or competitors × dimensions like price/segment/moat), a list grouped by type or ring, or a diagram (concentric-ring landscape, 2x2, matrix). Raw prose listing every competitor is a failure mode — it signals the synthesis step was skipped.
The rule of thumb: the exhaustive research file is where classification happens; the memo section is where classification pays off by collapsing the corpus into something a partner can scan in under a minute.
A memo section with no table/list/diagram and a research file that is short are both red flags that one of the two artifacts is doing the other's job.
What this skill does NOT do
- Does not author or revise the competitive landscape section of a specific memo — that lives in the orchestrator's pipeline (
apps/memopop-orchestrator/src/agents/competitive_landscape_researcher.pyandcompetitive_landscape_evaluator.py). - Does not drive those agents at runtime — they have their own prompts. This file is the reference both they and a human author should converge on.
- Does not prescribe how many competitors belong in a memo, or how to source them.
See also
- [[Grill-Me-Per-Section-User-Input-Moment]] — proposed orchestrator checkpoint that asks the user to pick the synthesis frame (table / ring diagram / grouped list / short list + footnote / 2×2) before the writer collapses the exhaustive research file into the memo section. Competitive is the first adopter. See
context-v/explorations/Grill-Me-Per-Section-User-Input-Moment.md. apps/memopop-orchestrator/src/agents/competitive_landscape_researcher.py— the runtime agent that researches the landscape.apps/memopop-orchestrator/src/agents/competitive_landscape_evaluator.py— the runtime evaluator pass.apps/memopop-orchestrator/src/agents/dataroom/extractors/competitive_extractor.py— pulls competitive signals out of dataroom documents.apps/memopop-orchestrator/templates/outlines/— outline YAMLs that define the competitive section's guiding questions per memo type.