alliance-prioritization

Alliance Prioritization

Rank specific, named candidate alliances and technology partnerships against each other, and decide which ones the team invests in. No single canonical ranking method owns this discipline - say so plainly rather than invent one. What the evidence actually supports:

• A dedicated alliance function and structured process is the field's best-validated success driver: 63% vs 50% alliance success across 1,572 alliances (Kale, Dyer & Singh, 2002). A repeatable prioritization process is part of that function.
• Complementarity plus compatibility is the best-validated fit construct: partners different in resources, similar in organizational institutions (Sarkar et al.; Mindruta, Moeen & Agarwal, 2016). Weight these highest.
• Weighted scorecards are known-fragile machinery: rank reversal (Belton & Gear, 1983) and arbitrary weights (Dyer, 1990). The fixes - justified weights, sensitivity analysis, must-pass gates kept outside the tradeable score - are mandatory here, not optional polish.
• The famous "50-70% of alliances fail" figure is unsettled: published estimates span 20-80% depending on how failure is defined, and one credible re-analysis puts it at 25-30%. Never quote it as settled fact.

Interview

Ask before ranking anything. One question per message; offer multiple-choice options; skip whatever the user already answered.

• How many named candidates, and who are they? (Categories instead of names → the ecosystem sibling; a single candidate → the economics sibling.)
• What strategic goal must the ranking serve: pipeline, product-gap fill, market entry, retention, platform presence, brand reach?
• How many alliances can the team actually run - headcount, current load per alliance manager? This number becomes the shortlist cut line.
• What does the existing alliance portfolio look like: active alliances, concentration, redundancy or conflict with the candidates?
• What data exists per candidate: account-overlap data, closed-won history, integration usage, marketplace co-sell records, prior-relationship history?
• Any candidate that is politically protected - an executive relationship, board pressure, a prior tie? Name it now; it gets scored like the rest, visibly.
• Who signs off, and does a gate process or steering committee already exist?
• B2B tech alliances, B2C brand/creator partnerships, or a hybrid list?
• By what date must this ranking land - a board slide next week, a signed alliance this quarter, next year's plan?
• One-off win or compounding asset: a shortlist for this decision only, or a scorecard the team re-runs every portfolio review?
• What is the effort ceiling on the analysis itself - analyst hours available, whose data you can request, whose sign-off you can spend?

Those last three re-order the method choices in Brainstorming the ranking, so ask them before proposing any criteria set.

• A near-term date promotes the speed-to-first-value criteria set and staged gates.
• A compounding mandate promotes the complementarity-led set and segmented weights that survive re-use.
• An effort ceiling under about a day removes the scorecard entirely - rank on gates plus effort-to-first-value and say that is what you did.
• The goal answer carries the same weight: a product-gap or market-entry goal reserves capacity for a deep co-innovation candidate that value-per-effort would otherwise starve.

Workflow

Every method choice - criteria set, weight distribution, gate strictness, where the capacity line falls - is ranked with its trade-off in Brainstorming the ranking. Open the relevant menu at the step that needs it, put its default and the runner-up to the user, and wait. Never let an assumption harden into the ranking unstated.

1. Run the Interview. Confirm the input is two or more named candidates and one stated strategic goal.
2. Fix the capacity number before scoring anything. A ranking without a cut line decides nothing - every candidate just gets a flattering ordinal.
3. Pre-filter each candidate with the ally-versus-acquire-versus-build test (Dyer, Kale & Singh, 2004): confirm an alliance is even the right mode for the synergy sought. Wrong-mode candidates leave the list here.
4. Run the must-pass gates, staged by default - desk checks across the whole longlist, expensive reviews on survivors only: financial viability, security/compliance posture, legal exposure, brand safety for B2C, and the Gomes-Casseres three-laws screen. A gate failure removes the candidate - a strong logo can never buy its way past a gate. See references/risk-and-dependency-screens.md.
5. Build the scorecard for survivors: criteria anchored on resource complementarity and organizational compatibility, weights individually justified in writing, never default-equal. Use account-overlap data as one capped input, not the ranking spine. See references/scoring-criteria-and-weights.md.
6. Score effort alongside value: integration cost, enablement load, alliance-manager hours. Rank candidates on value ÷ effort > value composite > logo attractiveness - say that ordering in the memo, because the value column alone is what the room will read otherwise.
7. Score risk explicitly per candidate: relational vs performance risk (Das & Teng), co-innovation and adoption-chain risk (Adner's Wide Lens), and platform-envelopment risk for any candidate whose platform you would build on (Eisenmann, Parker & Van Alstyne).
8. Run the sensitivity analysis: shift each weight ±20% and re-rank. Report which rank positions survive and which flip - a ranking that only holds under one weight set is an opinion wearing a spreadsheet.
9. Draw the capacity line where the summed effort estimates exhaust available alliance-manager months, falling back to the raw headcount number when candidate efforts are comparable. Spend any co-innovation slot reserved before scoring inside that budget, never on top of it - see What the ordering starves. Everything above the line is the shortlist; everything below gets an explicit verdict - hold, recycle, or kill - with a re-entry trigger.
10. Draft a light business case per shortlisted candidate: joint value hypothesis, first-value milestone, effort estimate, risk summary. Deep unit economics hand off to the economics sibling.
11. Where both sides can be convened, pressure-test the top candidates in a joint value proposition workshop; a candidate that cannot articulate joint customer value fails here regardless of score. See references/gates-and-governance.md.
12. Present the deliverable section by section - gates, scorecard, ranking, sensitivity, shortlist, verdicts - and validate each with the user before drafting the next. Revise on pushback.
13. Issue go/no-go verdicts per candidate - go, conditional-go, recycle, hold, kill - and require explicit user approval of the full memo before finalizing.
14. Check the pass threshold below; iterate the criteria, weights, or gates until every check holds.
15. Set the portfolio review cadence and re-ranking triggers: a candidate's acquisition, a platform policy change, a gate-milestone slip, a new entrant. Rankings decay; date the next review.
16. If your harness has persistent memory, memorize the approved ranking, the weights and their justifications, and each go/no-go verdict so later runs and portfolio reviews start from them.
17. If you can browse the web, verify each candidate's current state - ownership, funding, platform policies, recent incidents - before finalizing; stale candidate facts are a leading cause of dead-on-arrival shortlists. Otherwise flag candidate facts as user-supplied and unverified.

Brainstorming the ranking

Enter brainstorming mode before scoring anything - never open with a finished table. Run it the way alliance teams actually run candidate selection: a gated debate, not a single answer.

• Ask one question per message throughout; never batch questions.
• Widen the longlist before narrowing it. Source candidates from customer data, overlap reports, marketplace neighbors, and competitor partner directories - inbound requests enter the list but never rank on enthusiasm alone.

Method choices, ranked

The same discipline the scorecard applies to candidates applies to the method: rank by decision quality bought per analyst hour, never by what is cheapest to run. Open the relevant menu at the step that needs it, put the default and the runner-up to the user with the trade-off, then wait.

Criteria set - default: complementarity-led.

• Complementarity-led: resource complementarity and organizational compatibility anchor the weights. Costs an hour of criteria design, scored from desk research and closed-won samples the team already holds. Buys the only fit construct with peer-reviewed support, and the ranking most likely to survive the sensitivity re-run.
• Speed-to-first-value-led: weights integration effort, prior ties, counterparty alliance readiness. Costs near-zero - every input is already in the team's head. Buys the answer to which alliance ships first, not which one is worth having; the shortlist decays within two quarters.
• Reach-led: weights account or audience overlap, market size, brand. Costs a week plus a licensed overlap dataset or audience audit, and RevOps coordination to get it. Buys the least - overlap flags warm accounts with no evidence it predicts alliance success, and market size and brand are the door logo halo walks through. Keep these as capped inputs inside another set rather than a set of their own.
• analyst effort: reach-led > complementarity-led > speed-to-first-value
• decision quality, and efficiency alike: complementarity-led > speed-to-first-value > reach-led

Weight distribution - default: individually justified weights.

• Individually justified weights: one written line per weight. Costs an hour, and the justifications double as the memo's audit trail. Kills the arbitrary-weights defect at its source.
• Type-segmented weight sets: one set per alliance type when the list mixes technology integrations with co-sell alliances. Costs a few hours more plus a defensible split of the list; buys nothing on a homogeneous list except another sheet to maintain.
• Formal best-worst method: preferred over AHP - fewer pairwise comparisons, less rank-reversal exposure. Costs a half-day of structured elicitation per stakeholder and the coordination to convene them. Buys the most defensible weight set on the menu, which is exactly why efficiency starves it - see What the ordering starves for when to promote it anyway.
• Equal weights: rejected rather than ranked - near-zero effort, negative value. The format decides instead of the room; this is the documented practitioner failure mode.
• analyst effort: best-worst > type-segmented > justified > equal
• decision quality, and efficiency alike: justified > type-segmented > best-worst > equal

Gate strictness - default: staged.

• Staged: desk-checkable gates on the whole longlist (viability signals, public security posture, the three-laws screen), the expensive ones - counsel review of terms, TPRM questionnaire, audience audit - only on survivors. Costs hours across the longlist and a week on the few that reach the expensive tier.
• Full gate set on every longlist candidate: costs a week or more, most of it spent on candidates a five-minute check would have removed. Reaches the same shortlist, later. Justified only on a candidate list small enough that staging saves nothing.
• Gates on finalists only: costs near-zero up front and is worth less than nothing - scoring and socializing a candidate before its legal or security gate is exactly what makes a gate tradeable, and a candidate the room has already crowned is politically near-impossible to remove.
• analyst effort: full set > staged > finalists-only
• decision quality: staged == full set > finalists-only - tied because staging changes when the expensive review runs, never what it returns; both remove the same candidates and reach the same shortlist.
• efficiency: staged > full set > finalists-only
• compliance cost: finalists-only > staged == full set - gating last means roadmap and data have already been shared with a candidate counsel may reject, so the review it triggers arrives after the point where the decision could be reversed cheaply. The other two tie because both put counsel and security in front of a candidate before it is scored or socialized; only the number of candidates reviewed differs, and that is an effort difference, not a reversibility one.

Where the capacity line falls - default: effort-sum.

• Effort-sum line: cut where the candidates' summed effort estimates exhaust available alliance-manager months. Costs near-zero once step 6 has scored effort. The only line that notices two cheap alliances and one expensive one are not interchangeable.
• Headcount line: cut at the capacity number from the Interview. Costs near-zero, and is enough when candidate efforts are comparable - it assumes every alliance costs one manager the same, which is rarely true.
• Score-gap line: cut at the biggest break in composite scores. Costs near-zero and buys the least: scores within ~5% are a tie, and the gap moves under any re-weighting, so the line lands wherever the weights happened to fall. Use it to break a tie under an already-fixed capacity number, never as the line itself.
• decision quality, and efficiency alike: effort-sum > headcount > score-gap - effort is near-zero for all three, so only what each buys separates them.

Two things here stay deliberately unranked. The must-pass gates are pass/fail and non-tradeable, and the verdicts - go, conditional-go, recycle, hold, kill - are outcomes the evidence assigns, not options an analyst picks between. Ordering either would manufacture exactly the false precision the sensitivity analysis exists to undo.

What the ordering starves

A value-per-effort ratio always underweights whatever is expensive and strong. Name both instances out loud rather than letting the arithmetic quietly retire them.

• In the method menu: formal best-worst elicitation. It produces the most defensible weight set on offer - structured, attributable, least exposed to rank reversal - and loses every efficiency round to justified weights because it costs a half-day per stakeholder plus the coordination to convene them. Promote it when the weights themselves are what the room is arguing about: a sign-off owner who distrusts the sheet, a steering committee that has already reopened one ranking, or a scorecard the team will re-run every portfolio review. It buys agreement on weights, never precision in them.
• In the candidate list: the deep co-innovation alliance. A partnership whose value needs both sides to build something loses twic

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