Customer Pain Points: How to Find the Real Problem and Act on It

Customer pain points are obstacles that make it harder for someone to get a job done, buy confidently, use a product, or get help. To act on one, establish what happened, what it cost the customer, what caused it, and what better outcome they need. That keeps a team from treating a guess as a fact or selling a feature when the real fix belongs in a workflow.

In short: Start with the customer's task and the point where it breaks. Collect their words alongside observed behavior, check how broadly the issue appears in the relevant group, and separate the symptom from its possible causes. Prioritize by impact, confidence and your ability to change the situation. Assign an owner, test a fix, and measure whether the customer's task became easier—not merely whether your message got a click.

What Counts as a Customer Pain Point?

A pain point is a problem in the customer's experience. It may be a small interaction, a repeated delay across a journey, or a longer-term breach of trust. Nielsen Norman Group distinguishes those interaction, journey and relationship levels. The levels matter because a confusing button, a handoff that fails between teams, and an unreliable vendor relationship need different owners and fixes.

In B2B buying, the person feeling the problem and the person approving a purchase may differ. An operations user may spend an hour each week reconciling account records; a manager may worry about missed ownership; an IT reviewer may be concerned about data access. Do not collapse those into one generic “company pain point.” Note whose task is blocked, who bears the cost, and who can approve a change. The same organization can also decide that its current manual process is good enough.

A sales objection is not necessarily the underlying pain point. “Your price is high” might mean the customer lacks budget, cannot see the value, expects a risky migration, or genuinely has a cheaper adequate alternative. Each possibility asks for a different response. Likewise, a requested feature is evidence of a desired solution, not yet proof of the problem behind it. Ask what the customer was trying to achieve before adding the feature to a roadmap or inserting “we know your pain” into an email.

The Four Common Labels Help You Sort Evidence, Not Diagnose It

Many guides, including Pipedrive's current overview, group pain points as financial, productivity, process and support. These labels can help route an issue, but one episode can fit several labels:

• Financial: direct spend, unclear total cost, or the cost of delay. A quote that a product is “expensive” does not itself show which cost matters.
• Productivity: time or effort spent on avoidable work. Measure the specific task and whose time it uses before claiming savings.
• Process: a handoff, approval or sequence of steps that prevents progress. The problem may involve several teams even when it appears in one screen.
• Support: difficulty getting accurate help when the customer needs it. The delay may reveal a training, routing or product-design issue.

Suppose a customer says, “We keep reentering the same account details after a trial handoff.” That is a process symptom with a productivity cost. If support gives conflicting instructions, support friction is also present. The categories do not establish the cause or tell you which change will work. Write down the event first; classify only if the label helps someone act.

Find the Problem in More Than One Place

Start with sources close to the customer's job: sales and onboarding calls, support tickets, lost-deal notes, cancellation reasons, product-use logs, and conversations with customers who solved the task another way. Reviews and forums can suggest language or alternatives, but they may not represent your own buyers. Record the source, date, account segment, customer's role, task, and exact words where permission allows. Do not turn a paraphrase into a quotation.

Use an interview to understand the sequence, not to fish for agreement with your solution. Ask: “What were you trying to do?” “Walk me through the last time it happened.” “What did you do next?” “Who else had to get involved?” “What did you try instead?” “What happened if you did nothing?” “What would have counted as done?” These prompts ask about a real episode. “Would you use our AI feature to solve this?” leads the witness toward your preferred answer.

Observe the task where possible. A support tag saying “integration issue” does not tell you whether setup instructions were unclear, permissions were missing, or the connector failed. A product log may show where accounts stopped; it cannot explain why without more context. A few interviews can reveal the mechanism, while a ticket or event count can help estimate how often that mechanism appears among the people your system actually sees. Neither automatically describes every prospect in the market.

Keep one issue record for each candidate problem, with dated account-level observations linked beneath it. The summary says what the team suspects; each observation says which account, role and event supports or challenges it. This keeps several tickets from one account or one vivid interview from silently becoming a segment-wide conclusion. Record quotations only with their source and appropriate permission. The issue record should contain:

• Customer and task: who was trying to do what, in which situation?
• Observed event and exact words: what happened, and what did the customer say? Mark direct quotation versus team paraphrase.
• Cost or consequence: time, missed work, uncertainty, money or trust; distinguish observed cost from an estimate.
• Current workaround and alternatives: how do they cope today, and why might that remain good enough?
• Possible cause and counterevidence: what might explain the event, and what evidence would disprove that explanation?
• Scope and owner: which customer group is represented, how many distinct accounts are affected, what eligible denominator is known, and who can investigate or fix it?
• Next check: what will you observe after a change, over what window, and what would make you stop?

The log preserves the source, uncertainty and next check. An entry can say “cause unknown; support owner to inspect three failed setups” instead of promoting the first hypothesis to a campaign message.

Separate Symptom, Cause and Buying Barrier

When a customer reports a problem, write a short chain: task → breakdown → consequence → possible cause → desired outcome. Do not jump from “breakdown” to “buy our product.” A breakdown can have several explanations. Ask which one the available evidence actually supports.

For example, “I cannot finish CRM setup” is a symptom. The cause might be missing permissions, confusing instructions, an unsupported connector, or a defect. The consequence could be a delayed handoff. The desired outcome is a completed connection with the right ownership information. A new sales email cannot repair a connector defect; a product fix may not help if the customer only lacked a permission they can obtain.

There is also a separate buying barrier: even if the current workflow is painful, the buyer may fear migration, need IT approval, or lack time for a pilot. That barrier does not erase the underlying problem, but it changes what proof and next step are appropriate. Marketing might publish an accurate setup and data-handling explanation. Sales might help scope a small test. Product or support might still own the original breakdown.

Before naming the cause, seek one piece of counterevidence. Find an account that completed the task despite similar conditions, or ask a customer whose issue disappeared what changed. This may expose an overlooked permission, training difference or segment. If you cannot test the cause yet, state it as a hypothesis and keep the fix reversible.

Prioritize Without a Made-Up Precision Score

Not every reported frustration deserves a campaign or product project. Compare candidates using questions you can answer: how badly does it block the customer's task; how many relevant accounts have shown it; how strong is the evidence; can your team address the cause; and what happens if you wait? A severe, verified failure in a small number of high-fit accounts may outrank a frequent annoyance. A common complaint from accounts you cannot serve may not justify repositioning the whole offer.

Use a short decision record rather than invented percentages. For each issue, mark act now, investigate, or monitor and explain why. “Act now” fits a confirmed harmful failure with a known owner and feasible fix. “Investigate” fits a costly-looking pattern with uncertain cause or scope. “Monitor” fits a low-impact or poorly evidenced signal while you collect more data. These are working choices, not universal categories. Set a date or trigger for revisiting each one so “monitor” does not mean forget.

Prioritization also depends on which team can change the experience. Product owns a defect; support may own a routing or instruction fix; sales may own an unclear promise made in a call; marketing may own a page that attracts the wrong accounts or fails to answer a buyer question. Several owners may need to coordinate. Assign one person to verify the outcome even if multiple teams make the change.

A Worked Example: The Handoff That Looked Like a CRM Problem

This is a fictional B2B example, not an Alore customer case or an industry result. A software team sells a connector that transfers trial account records into a customer relationship management (CRM) system, where an employee must be assigned to manage them. Its support queue shows 12 tickets from 10 distinct trial accounts over a four-week window tagged “handoff setup.” Two accounts opened two tickets each; the other eight opened one each. Those tickets show what people who contacted support reported; they do not estimate prevalence across all trials.

The support owner reviews all ten ticketed accounts and interviews three willing users from different accounts. They were trying to hand a trial customer to the team that manages it after purchase. All three stopped when the system asked them to assign the new owner. Product logs confirm that point, but the team has not yet checked whether those users had the required permission. Two of the other seven ticketed accounts completed setup after an administrator granted that permission. The causes in the remaining five ticketed accounts are unresolved. The two completions support a permission hypothesis; they do not establish that missing permission caused the three failures. A confusing instruction or a connector defect remains possible.

Record the evidence before choosing a fix

The evidence log reads:

• Task and observed impact: three interviewed users could not assign an owner during their observed attempt. Ten distinct ticketed accounts asked for setup help; the group's total trial-account denominator is not yet known. Time and revenue cost are unknown.
• Possible cause: missing permission or unclear instruction; a connector defect has not been excluded.
• Comparison evidence: two of the other seven ticketed accounts completed setup with the required permission. Five other ticketed accounts remain unresolved. That pattern is compatible with the hypothesis but is not proof.
• Counterevidence to seek: a failed account that has the permission and follows correct instructions, or a successful account that lacks it. Either would challenge a simple permission-only explanation.
• Owner and next check: support and product verify the affected accounts' states and test competing explanations. Link each dated account observation to this issue record; the other ticketed accounts may have different causes.

Decision now: investigate. Three observed attempts stopped at owner assignment, but cause and wider impact are unknown. Support checks those accounts' permission records and exact errors; product repeats the workflow with and without permission.

What earns action: Move to act now for an affected account only when its record and failed state match the controlled test and the proposed intervention lets that user complete the handoff. Do not extend that finding to all ten ticketed accounts. If a permitted account still fails, investigate a connector defect and route repair to product. Keep accounts with different symptoms under investigation. This is a decision trigger, not a made-up severity score.

Before changing the guide, support compares the three failed accounts' permission records and exact errors with the successful accounts. Product tests the step both with and without the permission. The proposed intervention must pass four checks:

• Make the permission prerequisite visible before the blocked step.
• Let a user with permission finish the handoff.
• Give a user without permission an actionable explanation.
• Help the affected users complete the task after the intervention.

A test account failing without permission alone proves none of those customer outcomes. Marketing may update a setup claim once the workflow is verified, but it should not assert that a prospect has this problem merely because a similar account did.

Check whether customers complete the task

For verification, use one distinct trial account as the unit. The eligible group is every trial account that attempted this connector in the same defined period, including those that never reached the ownership step. In this fictional example, the team chooses a seven-day window from each account's first attempt; a real team should choose a window that fits its task cycle before comparing periods. Include an account only after its full window has elapsed. Count an account with several attempts once.

From that same all-eligible-account denominator, record the raw count of accounts that:

• Reached the ownership step.
• Completed the handoff within the chosen seven-day window.
• Made a repeat support contact about this handoff within that window.

“Repeat” means a second or later contact after an initial contact about the same issue in that account's window. Report each raw numerator with the all-eligible denominator. The team may also report the recurrence share among accounts that contacted support at least once, using that smaller denominator only for this separate diagnostic. Keep segment and definitions comparable before and after the change, and inspect accounts that never reached the ownership step.

• Keep and monitor if task completion improves in the comparable group, repeat contacts and new harms do not worsen in a concerning way, and remaining failures have an understood cause. An occasional legitimate support question does not mean failure.
• Reopen diagnosis if the same blockage persists. Roll back or repair if the change creates a new failure.

A before/after difference is encouraging but may reflect account mix or staffing; use a fairer comparison before claiming the instruction caused it. Ask affected users whether the step makes sense. The task is complete when the customer can finish the handoff, not when the guide earns a click.

Turn the Insight Into the Right Response

Use the diagnosed problem to choose a response that matches the cause:

• Product or workflow failure: fix or test the workflow before amplifying the promise.
• Instruction or support gap: clarify the step, route the question to an owner, and check whether the same contact happens again.
• Expectation or buying barrier: show the prerequisite, implementation effort or limitation honestly; help the buyer decide if the change is worth it.
• Audience mismatch: exclude accounts the product cannot serve rather than personalizing a pitch around an unsupported feature.

For sales or outreach, a pain-point insight should improve a question, not produce an unverified assertion. “How does your team assign an owner when a trial moves to customer success?” invites the recipient to describe their process. “I know your team loses accounts in handoff” claims knowledge you may not have. Use signals relevant to that account, honor contact preferences, and let the answer change the next step.

Once the team has verified a setup prerequisite and knows which accounts asked for help, it can send an accurate, relevant follow-up to those contacts who want one. Alore's B2B marketing strategy guide covers the broader segment, proof and route decision. Its Drip Campaigner describes templates, follow-up sequences and response analytics that can help manage an appropriate outreach workflow. Those functions do not diagnose product friction, establish a prospect's private problem, or show whether the customer's task became easier. Keep evidence and response ownership with the team.

Common Mistakes That Turn Evidence Into Assumptions

Ignoring contradictory cases. A clean story from three interviews can fail when a fourth account shows the same outcome under different conditions. Seek the case that might disprove your explanation.

Scaling a message before the fix exists. A persuasive campaign can bring more people to a broken experience. Resolve a confirmed harmful failure, then make accurate claims about what changed.

Mistaking a quiet support queue for success. Fewer tickets can also mean fewer attempts or harder-to-find help. Check the eligible task and completion as well as support contact.

To start, choose one recent customer episode and fill the evidence record: task, event, cost, possible cause, contradictory case, owner and next check. Then follow the customer's work through to an outcome.

Frequently Asked Questions

What are examples of customer pain points?

Examples include a buyer who cannot understand total cost, a user who repeats data entry across systems, a team whose approval handoff stalls, or a customer who receives conflicting support answers. Describe the exact task and consequence before deciding which category applies.

How do you find customer pain points when you have few customers?

Interview the customers you have about recent episodes, review sales and support notes, observe a task if possible, and study how people use alternatives. Treat the findings as early hypotheses. Mark which segment each account represents and what evidence would change your view; do not turn three interviews into a market percentage.

Are pain points the same as customer needs?

A pain point is a specific obstacle or friction in a task or experience. A need is the outcome or capability the person requires. A customer may need a reliable handoff and experience a pain point when permissions or ownership rules block it. The distinction helps the team avoid committing to the customer's first suggested feature before understanding the outcome.

How should a B2B sales team use pain points in outreach?

Use researched account signals to ask a relevant question or offer a genuinely useful resource. Do not claim to know an individual company's problem from a generic industry pattern. If the recipient describes a different issue or has no need, adapt or stop rather than forcing the conversation into a script.