The engagement you should decline

The engagements you decline define your practice more than the ones you accept. The selection framework that protects your margins, your energy, and your reputation.

This edition is a direct follow-up to #1 on positioning. If 'you're not too expensive' is the thesis, 'the engagement you should decline' is the practical consequence. Every off-target engagement you accept dilutes your positioning, reduces your margin, and clutters your calendar. The triage framework below takes 5 minutes per opportunity and will save you weeks of regret.

Francis Beaulieu

Why this matters right now

The 2025 Source Global Research report on independent consultants reveals that practitioners who decline at least 25% of incoming opportunities earn on average 34% more than those who accept everything. The correlation is robust and counterintuitive: saying no to a quarter of opportunities increases revenue by a third. The mechanism: selectivity concentrates your time on engagements where your expertise is at its peak, which produces better results, which produces better referrals, which produces better engagements.

The virtuous cycle starts with a refusal.

Pricing: the specialization premium

The action: For your next prospect outside your ideal niche, price with a 50% premium. If the prospect accepts, the surplus compensates for the opportunity cost. If they decline, you've freed up time for an engagement in your sweet spot.

The logic: Blair Enns, in Pricing Creativity, calls this the "deterrent fee." It's not a penalty. It's an economic filter that aligns your incentives: either the off-niche engagement pays you enough to offset the dilution, or it finds a better-positioned consultant.

The alternative: If you don't want to price up, refer out. Identify 2-3 specialist consultants in the domains where you receive off-niche inquiries. The outgoing referral generates incoming reciprocity.

This week: Identify your last engagement that was "decent but not excellent." What would have been a better fit? How much did the fit gap cost you in lost future revenue?

Sales and business development: the decline script that strengthens the relationship

The action: Prepare a three-part decline script: (1) acknowledgment ("I understand the issue and it's real"), (2) honest explanation ("This type of engagement isn't in my zone of optimal expertise"), (3) redirection ("Here's who does this work better than I do: [name, context]").

Why redirection is essential: Declining without redirecting is a dead end. Declining with a redirect is an act of service. The prospect respects you more for the honesty, the referred consultant owes you a favour, and your positioning strengthens with every refusal.

The mechanism: David C. Baker, in The Business of Expertise, documents that consultants perceived as "selective" by buyers receive 40% more unsolicited inbound engagements than those perceived as "available." Selectivity is a quality signal.

This week: Write your decline script. Identify 3 consultants to whom you can redirect off-niche inquiries. Contact them to confirm they accept referrals.

From the Field

Isabelle, Sherbrooke

Last year, I accepted a strategic planning engagement for a fintech startup. My expertise is in corporate finance for the manufacturing sector. The founder was charming, the budget was adequate, and I had a gap in my calendar.

Four months later, I'd delivered a plan that was decent but not excellent. The client was lukewarm, not disappointed but not impressed. No referral. No renewal. And during those four months, I'd declined two manufacturing engagements that would have been squarely in my sweet spot.

I calculated the opportunity cost: $45,000 in lost manufacturing work + the likely referral from a satisfied client (estimated value: $30,000+ over 12 months). The fintech engagement I accepted was worth $35,000. Net: -$40,000 and a dilution of my sector reputation.

Collaboration networks: the reciprocal referral network

The action: Formalize a reciprocal referral agreement with 3-5 complementary consultants. Not a formal contract. A clear verbal commitment: "I refer to you the inquiries in [your domain]; you refer to me the inquiries in [my domain]. We do a 15-minute monthly check-in to share market signals."

The mechanics: Keith Ferrazzi, in Never Eat Alone, distinguishes "transactional networks" (I give to you, you give to me) from "generosity networks" (we support each other without scorekeeping). The reciprocal referral network works when both parties generate more value together than separately. The math isn't 1:1. It's the system that's profitable.

Selection criteria: Same buyer profile. Complementary expertise (not competing). Comparable delivery quality. Compatible professional values.

This week: Identify 3 consultants who meet the criteria. Propose the format to one of them this week.

Value creation: the opportunity triage framework

The action: Evaluate every new opportunity on 5 criteria. Score each from 1 to 5. Minimum total to accept: 18/25.

1. Expertise fit: Is this in my optimal niche? (1 = never done it, 5 = my exact domain) 2. Client quality: Does the sponsor have the authority, budget, and commitment? (1 = absent, 5 = exemplary) 3. Referral potential: Will this engagement lead to others? (1 = unlikely, 5 = highly probable) 4. Margin: Do the fees cover my opportunity cost? (1 = below market, 5 = premium) 5. Energy: Does this engagement excite me? (1 = drudgery, 5 = passion)

The 18 threshold: A perfect engagement scores 25. An acceptable one scores 18-24. Below 18, the opportunity cost exceeds the benefit. The tool removes emotion from the decision and exposes hidden trade-offs.

This week: Apply the framework retroactively to your last 3 engagements. How many scored below 18? That's your dilution rate.

The AI Accelerator

Practice scenario: you're a supply chain optimization consultant for distributors and manufacturers.

1. Supply chain lead time mapping. Feed purchase order, receiving, and shipping data into Claude. Ask: "Identify bottlenecks in the supply chain by comparing promised vs. actual lead times by supplier, by SKU, and by stage." Anomalies surface in minutes.

2. Demand variability analysis. Import 24 months of sales data by product. The AI calculates coefficients of variation, identifies seasonal patterns, and flags SKUs with unpredictable demand that require differentiated inventory strategies.

3. Inventory level optimization. For each product category, ask the AI to calculate optimal safety stock, reorder point, and economic order quantity based on demand variability and supplier lead times. The client sees exactly where they're over-investing or under-investing.

4. Supplier risk assessment. Feed supplier performance data (on-time delivery rate, compliance rate, lead times) and publicly available financial information. The AI identifies at-risk suppliers and proposes mitigation strategies.

5. Disruption scenario simulation. Ask the AI to model the impact of a 30-60-90 day interruption from your top 3 suppliers. For each scenario: estimated costs, alternatives, and recovery timelines. The executive committee visualizes risks and prioritizes resilience investments.

AI: use AI to analyze your portfolio and identify dilution patterns

The action: Compile a list of all your engagements from the past 2 years: client, industry, engagement type, fees, duration, satisfaction (1-5), referral generated (yes/no), renewal rate. Feed it into Claude and ask: "Identify the patterns. Which types of engagements produce the best combination of margin, satisfaction, and referrals? Which produce the worst?"

Why this goes beyond basic AI use: Your intuitions about "my good engagements vs. my bad engagements" are biased by recency and emotion. AI analyzes patterns across all your data without recency bias. You'll likely discover that your "best type of engagement" isn't the one you thought.

Simon Willison documents at simonwillison.net how personal data analysis with AI reveals patterns that introspection alone cannot detect. The consultant who knows their portfolio data makes better selection decisions than the one who relies on instinct.

The deliverable for yourself: An "ideal engagement" profile based on your actual data, not on what you wish it were. Print it next to your triage framework.

This week: Compile the data. Even partial data works. AI will find patterns with 15 engagements just as well as with 50. What matters is starting.

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