Analysis is worth what it changes
A workspace can produce a baseline, a benchmark and a sized market, and still leave the client exactly where they started. The distance between a finding and a decision is where most consulting value is either created or lost. The Playbook in a Haycion workspace exists to close that distance: it turns the analysis into a short, ranked list of things to do, each with the reason and the first step.
Ranked plays
A play is on one of two sides. A sell play says where the client can win against a rival: lead with a category where the client outscores them, go after a segment where buyers hear a competitor’s name instead. A buy play says what to buy to close a gap that rivals score higher on. You can view all plays, or only the selling or buying side.
Each play carries its source, so you know what kind of evidence it rests on: the market, the SWOT, visibility, the battlecards or the client’s offering.
Evidence you can check
The reasoning in a play is built from facts the workspace has stored: a Strength Matrix score, a segment’s size and growth, a buyer-question result, a product with no published price. A play may only quote the numbers and the names in the facts it cites. Every figure in it traces back to something you can open, not to the model’s general sense of the market.
One next step each
Every play ends in one action from a fixed set: start a comparison, open a battlecard, see the buyer questions, see a visibility fix, edit what the client sells, or research vendors. The action opens the right place with the play’s details filled in: a comparison with the competitors and criteria preselected, a vendor search titled with what to buy.
Comparisons and battlecards
Two of those actions make the client’s case in writing. A self-assessment scores the client against the competitors you choose, on the criteria the play was built on, and can be published on the client’s AI agent profile so assistants read it. A battlecard is written per rival and per persona: the elevator pitch, the pain points the client solves, the common objections with rebuttals, the key differentiators and why the client wins.
Value propositions per persona
The company baseline describes each persona’s goals, needs, challenges and pain points. Alongside them sits how to win that buyer: what to lead with, the value proposition, its key benefits, and the proof points that back it. Because they are tied to the priority-ranked personas, the messaging conversation starts from the buyer who matters most.
Visibility fixes
The AI visibility work produces its own list: what to add or fix so that AI assistants read and describe the client accurately. Each fix says why it matters, how much effort it takes and which pages it applies to, and comes with a snippet to paste. The highest-impact fixes are listed first. The AI visibility guide covers where they come from.
What the client receives
- Ranked plays, to sell against rivals and to buy what closes a gap, each with its evidence and one next step.
- Self-assessments against the competitors you choose, ready to publish.
- A battlecard per rival and persona: pitch, objections and rebuttals, differentiators.
- Value propositions per persona, with benefits and proof points.
- Visibility fixes with an effort estimate and a snippet to paste.
How it shows its work
Every play cites its facts, and its numbers come from them. Every battlecard is tied to a rival and a persona. When the client asks “why this”, the answer is already written, and when the field moves, a rebuild writes plays that reflect it.
What a result looks like
A first Playbook for a mid-market client usually holds a handful of plays. Two or three sell plays name the categories and segments to lead with, and one or two buy plays name the gaps worth closing before the next pitch. The first comparison and the battlecards for the closest rivals are ready for the next sales conversation.
See what buyers and AI read about your practice.
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